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<div><section data-id="Interview Detail Banner" id="Interview Detail Banner" class="py-spacing44 sm:py-spacing48 xl:px-spacing80 sm:px-spacing112 px-0 !pb-0 !pt-spacing20 md:!bg-offWhite"><div class="px-spacing20 md:px-0 w-full 2xl:max-w-7xl mx-auto"><div class="row g-4"><div class="col-12 md:flex-col"><ol itemscope="" itemtype="https://schema.org/BreadcrumbList" class="flex h-8 w-auto justify-start items-center bg-transparent md:!bg-offWhite xs:!bg-yellow1"><li class="flex items-center text-xs font-normal h-8 group ease-in-out duration-500 transition text-neutral-500" itemprop="itemListElement" itemscope="" itemtype="https://schema.org/ListItem"><a href="" class="px-spacing8 h-full cursor-pointer flex rounded-128 items-center group-hover:bg-mono-black/4 duration-500 ease-in-out transition justify-center" itemprop="item"><div itemprop="name" content="Home"><div class="text-xs text-neutral-600 group-hover:font-medium group-hover:underline group-hover:underline-offset-3 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class="flex items-center text-xs font-normal h-8 group ease-in-out duration-500 transition text-neutral-500" itemprop="itemListElement" itemscope="" itemtype="https://schema.org/ListItem"><a href="interview-questions/programming" class="px-spacing8 h-full cursor-pointer flex rounded-128 items-center group-hover:bg-mono-black/4 duration-500 ease-in-out transition justify-center" itemprop="item"><div itemprop="name"><div class="text-xs text-neutral-500 group-hover:font-medium group-hover:underline group-hover:underline-offset-3 group-hover:text-mono-black max-w-50 overflow-ellipsis whitespace-nowrap overflow-hidden">Programming</div></div></a><meta itemprop="position" content="3"><i class=" icon-chevron-right text-xl leading-5 text-neutral-600  md:text-neutral-400 self-center "></i></li><li class="flex items-center text-xs font-normal h-8 group ease-in-out duration-500 transition text-neutral-500" itemprop="itemListElement" itemscope="" itemtype="https://schema.org/ListItem"><span class="overflow-hidden px-spacing8 "><div itemprop="name"><div class="text-xs text-neutral-500 max-w-50 overflow-ellipsis whitespace-nowrap overflow-hidden">PySpark Interview Questions and Answers for 2026</div></div></span><meta itemprop="position" content="4"><i class=" hidden"></i></li></ol></div></div></div></section></div><div><section data-id="Interview Detail Banner" id="Interview Detail Banner" class="py-spacing44 sm:py-spacing48 xl:px-spacing80 sm:px-spacing112 px-0 bg-offWhite !py-0 !pb-0"><div class="px-spacing20 md:px-0 w-full 2xl:max-w-7xl mx-auto"><div class="row g-4"><div class="col-12 md:flex-col"><div class="flex flex-col md:flex-row md:items-center md:justify-between bg-offWhite  md:pt-spacing20 md:pb-[48px]"><div class="md:max-w-[579px] xs:w-full"><p class="uppercase text-interview-grey-1 text-interactionNormal font-semibold pb-spacing7">Programming</p><h1 class="font-[700] text-headingBanner2 pb-spacing20 text-black">PySpark Interview Questions and Answers for 2026</h1><p class="text-greyscale1 text-interactionNormal leading-[22px] font-normal flex items-center gap-spacing6"><svg xmlns="http://www.w3.org/2000/svg" width="18" height="18" viewBox="0 0 18 18" fill="none"><path d="M8.09313 2.36439C8.46453 1.61186 9.53762 1.61185 9.90902 2.36439L11.6202 5.8317L15.4466 6.38771C16.2771 6.50838 16.6087 7.52895 16.0078 8.11472L13.239 10.8136L13.8926 14.6246C14.0345 15.4517 13.1663 16.0825 12.4235 15.6919L9.00108 13.8927L5.57864 15.6919C4.83584 16.0825 3.96769 15.4517 4.10955 14.6246L4.76318 10.8136L1.99437 8.11472C1.39343 7.52896 1.72504 6.50838 2.55551 6.38771L6.38191 5.8317L8.09313 2.36439ZM9.00108 3.06669L7.36457 6.38262C7.21708 6.68146 6.932 6.88858 6.60222 6.9365L2.94286 7.46824L5.5908 10.0493C5.82943 10.2819 5.93832 10.6171 5.88199 10.9455L5.2569 14.5901L8.52992 12.8694C8.82489 12.7143 9.17727 12.7143 9.47224 12.8694L12.7453 14.5901L12.1202 10.9455C12.0638 10.6171 12.1727 10.2819 12.4114 10.0493L15.0593 7.46824L11.3999 6.9365C11.0702 6.88858 10.7851 6.68146 10.6376 6.38262L9.00108 3.06669Z" fill="#FF9F1F"></path></svg>4.7 Rating<span class="bg-transparent"></span><i aria-hidden="true" class="icon-book-open text-yellow-main text-base"></i> 99 Questions<span class="bg-transparent"></span><i aria-hidden="true" class="icon-clock text-yellow-main text-base"></i> 30 mins read<span class="bg-transparent"></span><svg xmlns="http://www.w3.org/2000/svg" width="15" height="11" viewBox="0 0 15 11" fill="none"><path fill-rule="evenodd" clip-rule="evenodd" d="M3.24952 2.59291C2.23066 3.44326 1.51929 4.44071 1.16018 5.00933C1.11075 5.0876 1.09048 5.12047 1.0772 5.14603C1.0712 5.15757 1.06952 5.16207 1.06839 5.16646C1.06826 5.16749 1.06809 5.16902 1.06789 5.17105C1.0672 5.17843 1.06667 5.1885 1.06667 5.2C1.06667 5.2115 1.0672 5.22157 1.06789 5.22895C1.06809 5.23098 1.06826 5.23251 1.06839 5.23354C1.06952 5.23793 1.0712 5.24243 1.0772 5.25397C1.09048 5.27953 1.11075 5.3124 1.16018 5.39067C1.51929 5.95929 2.23066 6.95674 3.24952 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5.94455 13.9388 5.95243 13.9339 5.96024C13.5427 6.5796 12.7623 7.67775 11.6262 8.62601C10.4887 9.57532 8.96266 10.4 7.0961 10.4C5.22954 10.4 3.70346 9.57532 2.56604 8.62601C1.42987 7.67775 0.649473 6.5796 0.258315 5.96024C0.253381 5.95243 0.248386 5.94455 0.243343 5.9366C0.164414 5.81216 0.0739778 5.66958 0.027797 5.4681C-0.00926565 5.3064 -0.00926565 5.0936 0.027797 4.9319C0.0739778 4.73042 0.164414 4.58784 0.243343 4.4634C0.248385 4.45545 0.253381 4.44757 0.258314 4.43976C0.649473 3.8204 1.42987 2.72225 2.56604 1.77398ZM7.0961 3.73333C6.28609 3.73333 5.62944 4.38998 5.62944 5.2C5.62944 6.01002 6.28609 6.66667 7.0961 6.66667C7.90612 6.66667 8.56277 6.01002 8.56277 5.2C8.56277 4.38998 7.90612 3.73333 7.0961 3.73333ZM4.56277 5.2C4.56277 3.80088 5.69698 2.66667 7.0961 2.66667C8.49522 2.66667 9.62944 3.80088 9.62944 5.2C9.62944 6.59912 8.49522 7.73333 7.0961 7.73333C5.69698 7.73333 4.56277 6.59912 4.56277 5.2Z" fill="#FF9F1F"></path></svg>350 Readers</p></div><div class="rounded-[12px] h-auto relative overflow-hidden self-auto"><img alt="Interview Detail Banner Image" fetchpriority="high" loading="eager" width="411" height="274" decoding="async"  class="object-cover rounded-[12px]" style="color:transparent" sizes="(min-width: 768px) 411px, 274px" srcSet="" src="https://images.unsplash.com/photo-1488190211105-8b0e84b7e8d1?ixlib=rb-4.0.3&auto=format&fit=crop&w=1000&q=80"></div></div></div></div></div></section></div><div><section data-id="Interview_Detail_Page_Interviews_Section" id="Interview_Detail_Page_Interviews_Section" class="py-spacing44 sm:py-spacing48 xl:px-spacing80 sm:px-spacing112 px-0"><div class="px-spacing20 md:px-0 w-full 2xl:max-w-7xl mx-auto"><div class="row g-4"><div class="col-12 md:flex-col"><div class="flex flex-row relative gap-spacing80"><div class="md:min-w-[846px] xs:w-full"><h3 class="text-interview-black-1 font-[700] md:text-title2 xs:text-baseInterviewTitle pb-spacing10">Introduction</h3><div class="text-neutral7 font-normal md:text-bodyNormal xs:text-bannerPoints pb-spacing24"><p class="CertTheme__paragraph" dir="ltr" data-mode="standard"><span>PySpark is open-source distributed computing software. It helps to create more scalable analytics and pipelines to increase processing speed. It also works as a library for large-scale real-time data processing. In this article, we will cover some frequently asked PySpark interview questions to help you understand the types of questions you might be asked in a Python and PySpark-related interview.</span></p><p class="CertTheme__paragraph" dir="ltr" data-mode="standard"><span>Whether you are a beginner or an intermediate or an experienced PySpark professional, this guide will help you increase your confidence and knowledge in PySpark. The questions include important topics from PySpark such as DataFrames, RDD, serializers, cluster managers, SparkContext, SparkSession, etc. With PySpark Interview Questions, you can be confident that you will be well-prepared for your next interview. So, if you are looking to advance your career in PySpark, this guide is the perfect resource for you.</span></p></div><div><section class="py-spacing44 sm:py-spacing48 xl:px-spacing80 sm:px-spacing112 px-0 bg-subdued md:bg-white !py-0 !px-0"><div class="px-spacing20 md:px-0 w-full 2xl:max-w-7xl mx-auto"><div class="row g-4"><div class="col-12 md:flex-col"><div class="flex items-center justify-center font-Inter"><div class="bg-subdued w-full md:p-spacing40 py-spacing40 rounded-custom20"><div class="flex justify-between items-center"><div class="items-center flex-1"><div class="max-w-133"><div class="text-3xl leading-9.75 font-bold text-mono-black mt-spacing6">PySpark Interview Questions and Answers for 2026</div></div></div></div><div class=""><div><div class="relative flex w-fit items-center max-w-full customized-x-scrollbar gap-spacing12 md:gap-spacing24 rounded-xl bg-white p-spacing8 shadow-primaryDouble my-6 md:my-spacing40"><button class="z-1 rounded-lg px-spacing16 h-10 transition-all duration-300 ease-out flex items-center gap-spacing8 whitespace-nowrap font-semibold text-primary-900 bg-primary-100 delay-300"><h3 class="text-sm md:text-base first-letter:capitalize">Beginner</h3></button><button class="z-1 rounded-lg px-spacing16 h-10 transition-all duration-300 ease-out flex items-center gap-spacing8 whitespace-nowrap bg-transparent font-medium text-neutral-800 hover:text-primary-600"><h3 class="text-sm md:text-base first-letter:capitalize">Intermediate</h3></button><button class="z-1 rounded-lg px-spacing16 h-10 transition-all duration-300 ease-out flex items-center gap-spacing8 whitespace-nowrap bg-transparent font-medium text-neutral-800 hover:text-primary-600"><h3 class="text-sm md:text-base first-letter:capitalize">Advanced</h3></button><span class="absolute block h-10 rounded-lg bg-primary-100 transition-all duration-300" style="left:0;width:0;opacity:1"></span></div></div><div class=""><div><div class="text-xl text-neutral-800 mb-spacing20 font-bold">Beginner</div><div class="relative w-full"><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-primary-main outline-2 shadow-card hover:shadow-card visible"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-t-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden">1. What are the prerequisites to learn PySpark?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-0 text-neutral-800"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p>PySpark framework is easy to learn and implement. No programming language or database experience is required to learn PySpark. It is very easy to learn if you know programming languages and frameworks. Before getting familiar with PySpark concepts, you should have some knowledge of Apache Spark and Python. Learning advanced concepts of PySpark is very helpful.</p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow visible"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">2. How can you implement machine learning in Spark?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p>MLlib can be used to implement machine learning in Spark. Spark provides a scalable machine learning dataset called MLlib. It is primarily used to make machine learning scalable and lightweight, with common learning algorithms and use cases such as clustering, decay filtering, and dimensionality reduction. This is how machine learning can be implemented in Spark.</p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow visible"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">3. Tell me the difference between PySpark and other programming languages.</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p>There are some basic differences between PySpark and other programming languages. PySpark has its built-in APIs, but other programming languages require APIs to be integrated externally from third parties. Next difference is, implicit communications can be done in PySpark, but it is not possible in other programming languages. PySpark is map based, so developers can use maps to reduce functions. PySpark allows for multiple nodes, again which is not possible in other programming languages.</p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow visible"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">4. Can we use PySpark in the small data set?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p>No, we cannot use PySpark with small data sets. They are not very useful as they are typical library systems with more complex objects than accessible objects. PySpark is great for large amounts of records, so it should be used for large data sets.</p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow visible"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">5. What is your thought on PySpark is important in data science?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p><span data-contrast="auto" lang="EN-US">Data Science is based on two programming&nbsp;languages,&nbsp;Python and Machine Learning.&nbsp;PySpark&nbsp;is integrated with Python. There are interfaces and built-in environments which are made using both Python and Machine Learning. This makes&nbsp;PySpark&nbsp;an essential tool for data science. Once the dataset is processed, the prototype model is transformed into a production-ready workflow. Because of such reasons,&nbsp;PySpark&nbsp;is important in data science.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}"></span><br></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">6. What are the main file systems that are supported by Spark?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p><span data-contrast="auto" lang="EN-US">Spark can form distributed datasets from any storage source supported by different file systems. These file systems&nbsp;include:</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><ul><li class="CertTheme__listItem pt-spacing10"><span data-contrast="auto" lang="EN-US">Hadoop Distributed File Systems (HDFS)</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="auto" lang="EN-US">Local File System</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="auto" lang="EN-US">Cassandra</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="auto" lang="EN-US">HBase</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="auto" lang="EN-US">Amazon S3</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li></ul><p><span data-contrast="auto" lang="EN-US">Also, Spark supports text files, Sequence files, and any other Hadoop Input Format.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">7. What do you know about PySpark? OR Explain what is PySpark.</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p><span data-contrast="none" lang="EN-US">This is a frequently asked question in PySpark Interview Questions. PySpark is an Apache Spark tool or interface developed by the Apache Spark community and Python to help Python and Spark work together. The tool works with Apache Spark and uses an API written in Python to support features such as Spark SQL, Spark DataFrame, Spark Streaming, Spark Core, and Spark MLlib. It provides an interactive PySpark shell for analyzing and processing structured and semi-structured data in distributed environments by providing a streamlined API that helps programs read data from various data sources. PySpark functionality is implemented in Python in the Py4j library. The availability of the Py4j library allows the user to easily manipulate his Resilient Distributed Datasets (RDDs) in the Python programming language. Python supports many different libraries that support big data processing and machine learning.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><p><span data-contrast="none" lang="EN-US">We can install PySpark on PyPi using the below command:&nbsp;</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><p><span data-contrast="none" lang="EN-US"><strong>pip install PySpark</strong></span><strong><span data-contrast="none" lang="EN-US">&nbsp;</span></strong><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:720,&quot;335559739&quot;:160,&quot;335559740&quot;:259}"><strong>&nbsp;</strong></span></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">8. What are the main characteristics of PySpark?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p></p><p><span data-contrast="none" lang="EN-US">There are four main characteristics of&nbsp;PySpark. The detailed description of those features can be given as below:</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><ol class="CertTheme__ol1 pt-spacing10"><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US"><strong>Nodes are abstracted -</strong></span><span data-contrast="none" lang="EN-US"><strong>&nbsp;</strong>Nodes are abstracted in the&nbsp;PySpark. This means that individual worker nodes are inaccessible.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US"><strong>PySpark is based on MapReduce -</strong></span><span data-contrast="none" lang="EN-US">&nbsp;PySpark&nbsp;is based on Hadoop’s MapReduce model. This means that the programmer&nbsp;provides&nbsp;maps and reduced functions.&nbsp;</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US"><strong>API for Spark functions -</strong></span><span data-contrast="none" lang="EN-US">&nbsp;PySpark&nbsp;provides an API for using Spark functions.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US"><strong>Abstracted networks -</strong></span><span data-contrast="none" lang="EN-US">&nbsp;PySpark&nbsp;provides&nbsp;abstract&nbsp;networks. This means that networking is abstracted in&nbsp;PySpark&nbsp;and only implicit communications&nbsp;are&nbsp;allowed.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li></ol><p></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">9. What is RDD in PySpark?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p class="CertTheme__paragraph" dir="ltr" data-mode="standard"><span>In PySpark, the full form of RDD is Resilient Distributed Datasets. This RDD is the central data structure of PySpark. RDD is a low-level object that is very efficient at performing distributed tasks.</span></p><p class="CertTheme__paragraph" dir="ltr" data-mode="standard"><span>In PySpark, RDDs are elements that can be run and manipulated on multiple nodes to perform parallel processing within a cluster. These are immutable items. This means that once the RDD is created it can not be changed. Also, RDDs are fault tolerant. In case of failure, they are automatically restored. Multiple operations can be applied to an RDD to accomplish a specific task. You can learn more about this concept at </span><a href="programming-certification" target="_blank" rel="noreferrer noopener" class="CertTheme__link"><span>Certified Programming courses</span></a><span>.</span></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">10. What can you tell me about PySpark SparkContext?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p><span data-contrast="none" lang="EN-US">SparkContext serves as the entry point for all Spark functions. When the Spark application runs, the driver program is started and the main function and SparkContext are started. The driver program then executes the operation within the worker node’s executor. In PySpark, SparkContext is recognized as PySpark SparkContext. Using Py4J library, it starts a JVM and creates a JavaSparkContext. PySpark SparkContext is available as ‘sc’ by default, so it does not create a new SparkContext.</span><span data-contrast="none" lang="EN-US"></span></p><div class="next-image-styles my-4"><img alt="Image" loading="lazy" width="100" height="100" decoding="async"  class="fr-fic fr-dib" style="color:transparent;width:100%;height:auto;background-size:cover;background-position:50% 50%;background-repeat:no-repeat;background-image:url(&quot;data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http%3A//www.w3.org/2000/svg' viewBox='0 0 100 100'%3E%3Cfilter id='b' color-interpolation-filters='sRGB'%3E%3CfeGaussianBlur stdDeviation='20'/%3E%3C/filter%3E%3Cimage preserveAspectRatio='none' filter='url(%23b)' x='0' y='0' height='100%25' width='100%25' href='data:image/svg+xml;base64,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'/%3E%3C/svg%3E&quot;)" sizes="(min-width: 767px) 50vw, 100vw" srcSet="" src="https://images.unsplash.com/photo-1523961131990-521072f1616c?ixlib=rb-4.0.3&auto=format&fit=crop&w=1000&q=80"></div><p></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">11. What is PySpark SparkFiles?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p>PySpark SparkFiles is used to load files into Apache Spark applications. This is one of the functions under SparkContext that you can call with sc.addFile() to load files into Apache Spark. You can also use SparkFiles to get the path using SparkFile.get(). It can also be used to resolve paths to files added using the sc.addFile() method. The class methods in the SparkFiles directory are getrootdirectory() and get(filename).</p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">12. What do you know about PySpark Serializers?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p></p><p><span data-contrast="none" lang="EN-US"><span data-contrast="none" lang="EN-US">A must-know for anyone heading into a PySpark interview, this question is frequently asked in PySpark Interview Questions.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span>In PySpark, serialization is the process used to perform performance tuning in Spark. PySpark supports serializers because it needs to continuously inspect data sent and received to disk or storage over the network. There are two types of serializers that PySpark supports. The serializers are:</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><ul><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US"><strong>PickleSerializer:</strong></span><span data-contrast="none" lang="EN-US">&nbsp;This is used to serialize objects with its PickleSerializer class in Python using the PySpark. This serializer supports all Python objects.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US"><strong>MarshalSerializer:&nbsp;</strong></span><span data-contrast="none" lang="EN-US">The MarshalSerializer is used to perform object serialization. This is available using the PySpark MarshalSerializer class. This serializer is much faster than the PickleSerializer, but it supports limited types.&nbsp;</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li></ul><p></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">13. What is PySpark ArrayType? Explain with an example.</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p><span data-contrast="none" lang="EN-US">PySpark&nbsp;ArrayType is a collection data type that extends&nbsp;PySparks’s DataType class. And this DataType class is the superclass of all types. A&nbsp;PySpark&nbsp;ArrayType only&nbsp;contains&nbsp;elements of the same type. We can also create an instance of ArrayType using the ArrayType() method. This method accepts two arguments. The arguments are&nbsp;valueType&nbsp;and&nbsp;valueContainsNull.&nbsp;</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><ol class="CertTheme__ol1 pt-spacing10"><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">valueType: This argument must extend PySpark’s DataType class.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">valueContainsNull: This is an optional argument. It indicates whether the value can accept nulls and it is set to True by default.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li></ol><p><span data-contrast="none" lang="EN-US">For example:</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:720,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><p><span data-contrast="none" lang="EN-US">from&nbsp;PySpark.sql.types&nbsp;import&nbsp;StringType, ArrayType</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:720,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><p><span data-contrast="none" lang="EN-US">ArrayColumn = ArrayType(StringType().False)</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:720,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">14. What do you understand by PySpark DataFrames?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p>A PySpark DataFrame is a distributed collection of well-organized data. These are just like relational database tables, arranged in named columns. PySpark DataFrames are more optimized than the R or Python programming languages as they can be created from a variety of sources such as Hive tables, structured data files, existing RDDs and external databases. &nbsp;<br><br>The biggest advantage of PySpark DataFrame is that data in PySpark DataFrame is distributed to different computers in the cluster and operations performed on it are executed in parallel on all computers. This makes it easy to handle large collections of petabytes of structured or semi-structured data.</p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">15. What do you mean by cluster manager? What are the different cluster manager types that are supported by PySpark?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p class="CertTheme__paragraph" data-mode="standard"><br></p><p class="CertTheme__paragraph" dir="ltr" data-mode="standard"><span>In PySpark, the cluster manager is a cluster-mode platform that facilitates Spark execution by allotting all resources worker nodes as needed.</span></p><p class="CertTheme__paragraph" dir="ltr" data-mode="standard"><span>The Spark Cluster Manager ecosystem includes a master node and multiple worker nodes. Master nodes, with the help of the cluster manager, provide resources, such as memory and processor allocation, to worker nodes according to the node's needs.</span></p><p class="CertTheme__paragraph" dir="ltr" data-mode="standard"><span>PySpark supports different cluster managers. Those can be explained as:</span></p><ul class="CertTheme__ul"><li value="1" class="CertTheme__listItem pt-spacing10"><span>Standalone: Standalone is a very simple cluster manager that comes with Spark.</span></li><li value="2" class="CertTheme__listItem pt-spacing10"><span>Apache Mesos: This cluster manager is useful to run Hadoop MapReduce and PySpark apps.</span></li><li value="3" class="CertTheme__listItem pt-spacing10"><span>Hadoop YARN: This cluster manager is used with Hadoop2.</span></li><li value="4" class="CertTheme__listItem pt-spacing10"><span>Kubernetes: This is an open-source cluster manager that helps to automate the deployment, scaling, and automated management of containerized apps.</span></li><li value="5" class="CertTheme__listItem pt-spacing10"><span>Local: This cluster manager is a path for running Spark applications on laptops/desktops.</span></li></ul><p class="CertTheme__paragraph" dir="ltr" data-mode="standard"><br></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">16. What is SparkSession in PySpark?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p><span data-contrast="none" lang="EN-US">In PySpark, SparkSession is the application entry point. For the first version of PySpark, it used SparkContext as an entry point. SparkSession replaces the SparkContext since PySpark version 2.0. From the PySpark version 2.0, SparkSession serves as a starting point to access all PySpark functions related to RDDs, DataFrames, Datasets, etc. This is also the unified API used to access SQLContext, StreamingContext, HiveContext, and all other contexts within it to replace PySpark.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><p><span data-contrast="none" lang="EN-US">SparkSession internally makes SparkContext and SparkConfig according to details provided in SparkSession. We can also create a SparkSession using the builder patterns.&nbsp;</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><p><img alt="Image" loading="lazy" width="100" height="100" decoding="async"  class="fr-fic fr-dib" style="color:transparent;width:100%;height:auto;background-size:cover;background-position:50% 50%;background-repeat:no-repeat;background-image:url(&quot;data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http%3A//www.w3.org/2000/svg' viewBox='0 0 100 100'%3E%3Cfilter id='b' color-interpolation-filters='sRGB'%3E%3CfeGaussianBlur stdDeviation='20'/%3E%3C/filter%3E%3Cimage preserveAspectRatio='none' filter='url(%23b)' x='0' y='0' height='100%25' width='100%25' href='data:image/svg+xml;base64,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'/%3E%3C/svg%3E&quot;)" sizes="(min-width: 767px) 50vw, 100vw" srcSet="" src="https://images.unsplash.com/photo-1523961131990-521072f1616c?ixlib=rb-4.0.3&auto=format&fit=crop&w=1000&q=80"></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">17. What are the main functions of Spark Core?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p></p><p><span data-contrast="none" lang="EN-US">The main function of Spark Core is to implement several important functions such as storage management, fault tolerance, job monitoring, job setup, and communication with storage systems. It also includes additional libraries built on top of the middle tier used for various streaming, machine learning, and SQL workloads.&nbsp;</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><p><span data-contrast="none" lang="EN-US">The Spark Core is&nbsp;used&nbsp;for the functions like:</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><ol class="CertTheme__ol1 pt-spacing10"><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">Resilience and recovery.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">To interact with the storage system.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">Memory management.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">Scheduling and monitoring jobs in a cluster.</span></li></ol><p></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">18. What is the common workflow of Spark program?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p><span data-contrast="none" lang="EN-US">There is a common workflow followed by a spark program. The first step is to create the input RDD according to the external data. Data can come from a variety of data sources. Next, after the RDD is created, depending on business logic, RDD transformation operations such as filter() and map() are performed to create a new RDD. In case, if we need to reuse the intermediate RDDs for later purposes, we can keep them. Finally, if there are action operations like first(), count(), etc., Spark fires them up to start parallel computation. This workflow is used by Spark program.</span></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">19. Explain the startsWith() and endsWith() methods.</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p></p><p><span data-contrast="none" lang="EN-US">In&nbsp;PySpark,&nbsp;startsWith() and&nbsp;endsWith()&nbsp;methods&nbsp;come&nbsp;in the Column class. These methods are used to search DataFrame rows by checking if the column value starts or ends with&nbsp;a specific&nbsp;value. Both are used&nbsp;to filter&nbsp;data in our&nbsp;application.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><ul><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US"><strong>startsWith() method:</strong></span><span data-contrast="none" lang="EN-US">&nbsp;This method is used to return a boolean value. It&nbsp;indicates&nbsp;TRUE if the value in the column starts with the specified string, and FALSE if the value in that column does not match.&nbsp;</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US"><strong>endsWith() method:</strong></span><span data-contrast="none" lang="EN-US">&nbsp;This method is used to return a boolean value. It indicates TRUE if the column value ends with the specified string, and FALSE if the match for that column value is not satisfied. Both methods are case sensitive.&nbsp;</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li></ul><p></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">20. What do you understand by custom profilers in PySpark?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p></p><p><span data-contrast="none" lang="EN-US">PySpark&nbsp;supports custom profilers.&nbsp;Custom&nbsp;profilers are used&nbsp;to build&nbsp;predictive models.&nbsp;A profiler is&nbsp;also used to ensure that&nbsp;the data&nbsp;is&nbsp;valid&nbsp;and can&nbsp;be used at the time of&nbsp;consumption.&nbsp;If we want&nbsp;a custom profiler, we will need&nbsp;to define some&nbsp;methods. These methods are:</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><ol class="CertTheme__ol1 pt-spacing10"><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">stats: This method is used to return aggregated profiling statistics.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">profile: This method is used to create a kind of system profile.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">dump:&nbsp;This is used to&nbsp;back up the&nbsp;profile to the specified path.&nbsp;</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">dump(id, path): This is used to dump a specific RDD&nbsp;ID&nbsp;to the&nbsp;specified path.&nbsp;</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">add: This is used to add a profile to an existing cumulative profile. A profile class must be selected when creating a SparkContext.</span></li></ol><p></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">21. Is PySpark faster than Pandas?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p><span data-contrast="none" lang="EN-US">Yes,&nbsp;PySpark&nbsp;is faster than Pandas. Because it supports parallel execution of statements in a distributed environment. For example,&nbsp;PySpark&nbsp;can run on different cores and machines, which is not available with Pandas. This is the main reason&nbsp;PySpark&nbsp;is faster than Pandas. Check&nbsp;</span><a href="programming-certification" rel="noreferrer noopener" target="_blank"><span data-contrast="none" lang="EN-US"><span data-ccp-charstyle="Hyperlink">SureCertificate's&nbsp;</span><span data-ccp-charstyle="Hyperlink">b</span><span data-ccp-charstyle="Hyperlink">est</span><span data-ccp-charstyle="Hyperlink">&nbsp;c</span><span data-ccp-charstyle="Hyperlink">ertification for Programmers</span></span></a><span data-contrast="none" lang="EN-US">&nbsp;for more information about this topic.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span>&nbsp;</p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">22. What is the use of PySpark StorageLevel?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p></p><p><span data-contrast="none" lang="EN-US">PySpark&nbsp;StorageLevel is used to control RDD storage. It can control how and where the RDD is stored. The&nbsp;PySpark&nbsp;StorageLevel decides whether the RDD is stored in memory, on disk, or both. It also&nbsp;determines&nbsp;if we need to replicate the RDD partitions or serialize the RDD. The code for&nbsp;PySpark&nbsp;StorageLevel looks like:</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><div class="jsx-189f2d4cbe17d436 code-block-wrapper mt-spacing10 mb-[16.8px] md:mb-[24px] bg-black p-4 rounded-[12px] relative text-[#708090] overflow-hidden"><div class="jsx-189f2d4cbe17d436 absolute top-4 right-4 z-10"><div class="jsx-189f2d4cbe17d436 px-spacing12 bg-white rounded-full h-10 flex items-center cursor-pointer"><i class="jsx-189f2d4cbe17d436 text-black text-sm icon-copy"></i></div></div><div class="jsx-189f2d4cbe17d436 overflow-x-auto pb-[12px] w-full"><pre id="code-block-oocgnn7dz" class="jsx-189f2d4cbe17d436 whitespace-pre-wrap break-words w-full font-mono text-sm"><span data-contrast="none" lang="EN-US">class PySpark.StorageLevel( useDisk, useMemory, useOfHeap, deserialized, replication = 1)</span><span data-contrast="none" lang="EN-US">&nbsp;</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></pre></div></div><p></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">23. Which are the most frequently used Spark ecosystems?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p></p><p><span data-contrast="none" lang="EN-US">There are some&nbsp;most used&nbsp;Spark ecosystems like Spark SQL, Spark Streaming, GraphX, MLlib,&nbsp;SparkR, etc.&nbsp;</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><ul><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">Spark SQL is for developers. It is also known as Shark.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">Spark Streaming is used for processing live data streams.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">Graphx is used for generating and calculating graphs.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">MLlib (also called as Machine Learning Algorithms)</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">SparkR is used to promote the R programming language in the Spark engine.&nbsp;</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li></ul><p></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">24. What is the difference between get(filename) and getrootdictonary()?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p><span data-contrast="none" lang="EN-US">The main difference between get(filename) and getrootdirectory() is that get(filename) is used to get the correct path to the file that is added using SparkContext.addFile(). On the other hand, getrootdirectory() is used to get the root directory containing the file added using SparkContext.addFile().</span></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">25. What is the use of Spark execution engine?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p><span data-contrast="none" lang="EN-US">The Apache Spark execution engine is a graph execution engine that makes it easy for users to explore large datasets with high presentation. If we want the data to be manipulated at different stages of processing, we need to keep Spark in memory for a radical performance boost.</span>&nbsp;</p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">26. How is Spark SQL different from HQL and SQL?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p>Hive is used in HQL (Hive Query Language), and Spark SQL is used in Structured Query Language to process and query data. We can easily connect SQL table and HQL table to Spark SQL. Flash SQL is used as a unique segment on the Spark Core engine that supports SQL and Hive Query Language without changing the sentence structure.</p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">27. How do you install PySpark on your local machine?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p><span data-contrast="auto" lang="EN-GB">Install PySpark using pip with the command&nbsp;</span><span data-contrast="auto" lang="EN-GB">pip install&nbsp;pyspark</span><span data-contrast="auto" lang="EN-GB">. Ensure Python and Java are installed on our system first.</span></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">28. Can PySpark handle real-time data processing?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p><span data-contrast="auto" lang="EN-GB">PySpark&nbsp;itself is not designed for real-time processing but can handle near-real-time data through Spark Streaming, which processes data in micro-batches.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559740&quot;:276}"></span><br></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">29. What is the default level of parallelism in PySpark?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p><span data-contrast="auto" lang="EN-GB">The default level of parallelism in&nbsp;PySpark&nbsp;depends on the cluster configuration but is typically set to the number of cores available on all executor nodes.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559740&quot;:276}"></span><br></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">30. How do you read a JSON file in PySpark?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p><span data-contrast="auto" lang="EN-GB">Use the read.json() method of the SparkSession object to read JSON files.&nbsp;</span></p><p><span data-contrast="auto" lang="EN-GB">Example:</span><span data-contrast="auto" lang="EN-GB">&nbsp;<span style="background:rgba(0, 0, 0, 0.05);padding:0 3px;font-family:monospace">spark.read.json("path_to_file.json").</span></span></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">31. What is an action in PySpark?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p><span data-contrast="auto" lang="EN-GB">Actions in PySpark are operations that trigger computation and return values.</span><br><span data-contrast="auto" lang="EN-GB">Examples include&nbsp;</span><span style="background:rgba(0, 0, 0, 0.05);padding:0 3px;font-family:monospace">count(),&nbsp;collect(), and&nbsp;first()</span><span data-contrast="auto" lang="EN-GB">.</span></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">32. What is a transformation in PySpark?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p><span data-contrast="auto" lang="EN-GB">Transformations in&nbsp;PySpark&nbsp;are operations that create a new RDD from an existing one, such as</span><span data-contrast="auto" lang="EN-GB">&nbsp;map(), filter(), and reduceByKey()</span><span data-contrast="auto" lang="EN-GB">.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559740&quot;:276}"></span><br></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">33. How can you remove duplicates from a DataFrame in PySpark?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p><span data-contrast="auto" lang="EN-GB">Use the&nbsp;</span><span data-contrast="auto" lang="EN-GB">dropDuplicates()</span><span data-contrast="auto" lang="EN-GB">&nbsp;method on a DataFrame to remove duplicate rows.</span></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">34. How do you show the schema of a DataFrame?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p><span data-contrast="auto" lang="EN-GB">Use the&nbsp;</span><span data-contrast="auto" lang="EN-GB">printSchema()</span><span data-contrast="auto" lang="EN-GB">&nbsp;method on a DataFrame to display its schema.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559740&quot;:276}"></span><br></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">35. How can you add a new column to a DataFrame in PySpark?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p><span data-contrast="auto" lang="EN-GB">Use the&nbsp;</span><span data-contrast="auto" lang="EN-GB">withColumn()</span><span data-contrast="auto" lang="EN-GB">&nbsp;method.</span><br><span data-contrast="auto" lang="EN-GB">For example:<span style="background:rgba(0, 0, 0, 0.05);padding:0 3px;font-family:monospace">&nbsp;df.withColumn('new_column', expression).</span></span></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">36. What is a lazy evaluation in PySpark?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p>Lazy evaluation in PySpark means that the execution will not start until an action is triggered. This optimization allows PySpark to run more efficiently. </p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">37. What file formats can PySpark read?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p>PySpark can read several file formats including but not limited to JSON, CSV, Parquet, ORC, and text files.</p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">38. How do you cache a DataFrame in PySpark?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p><span data-contrast="auto" lang="EN-GB">Use the&nbsp;</span><span data-contrast="auto" lang="EN-GB">cache()</span><span data-contrast="auto" lang="EN-GB">&nbsp;method on a DataFrame to persist it in memory, which can speed up subsequent queries.</span></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">39. How do you coalesce partitions in PySpark?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p><span data-contrast="auto" lang="EN-GB">Use the&nbsp;</span><span data-contrast="auto" lang="EN-GB">coalesce()</span><span data-contrast="auto" lang="EN-GB">&nbsp;method on an RDD or DataFrame to reduce the number of partitions, ideally to avoid shuffling.</span></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">40. What is a stage in Spark?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p>A stage in Spark represents a set of tasks that perform the same computation but on different data partitions without shuffling data.</p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">41. What are Spark Broadcast variables?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p><span data-contrast="auto" lang="EN-GB">Broadcast variables allow the programmer to keep a read-only variable cached on each machine rather than shipping a copy of it with tasks.</span></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">42. How do you save a DataFrame to a CSV file in PySpark?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p><span data-contrast="auto" lang="EN-GB">Use the&nbsp;</span><span data-contrast="auto" lang="EN-GB">write.csv()</span><span data-contrast="auto" lang="EN-GB">&nbsp;method.</span><br><span data-contrast="auto" lang="EN-GB">Example:&nbsp;</span><span style="background:rgba(0, 0, 0, 0.05);padding:0 3px;font-family:monospace">df.write.csv('path_to_save.csv').</span></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">43. What are the benefits of using DataFrame over RDD in PySpark?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p>DataFrames provide a higher level abstraction, allowing optimizations through Catalyst optimizer; they are faster and easier to use than RDDs for structured data. </p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">44. How do you handle missing or null values in a PySpark DataFrame?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p><span data-contrast="auto" lang="EN-GB">Use the&nbsp;</span><span data-contrast="auto" lang="EN-GB">na&nbsp;</span><span data-contrast="auto" lang="EN-GB">functions in PySpark to handle null values. For instance, we can replace all nulls with a specific value using&nbsp;</span><span data-contrast="auto" lang="EN-GB">df.na.fill(value)</span><span data-contrast="auto" lang="EN-GB">&nbsp;or drop rows that contain any null values with&nbsp;</span><span data-contrast="auto" lang="EN-GB">df.na.drop().</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559740&quot;:276}"></span><br></p></div></div></div></div><div class="relative"><div class="mt-spacing20 z-10 relative text-center flex justify-center mt-0"><button class="flex items-center gap-x-spacing8 py-spacing4"><span class="text-sm underline font-semibold text-mono-black">View all questions</span><i class="icon-chevron-down-double text-xl leading-5 text-neutral-800"></i></button></div><div class="absolute bottom-0 block h-32 w-full bg-gradient-to-t from-subdued/100 from-30% md:from-40%"></div></div></div></div></div><div class="hidden"><div><div class="text-xl text-neutral-800 mb-spacing20 font-bold">Intermediate</div><div class="relative w-full"><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-primary-main outline-2 shadow-card hover:shadow-card visible"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-t-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden">1. What are the advantages and disadvantages of PySpark?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-0 text-neutral-800"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p></p><p><span data-contrast="none" lang="EN-US">There are some advantages as well as disadvantages of PySpark and this is another frequently asked question in the PySpark interview rounds. Let’s discuss them one by one.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><p><span data-contrast="none" lang="EN-US"><strong>Advantages of PySpark:</strong></span><strong><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></strong></p><ol class="CertTheme__ol1 pt-spacing10"><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">PySpark is an easy language to learn. It is easy to learn and implement if you know Python and Apache Spark.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">PySpark&nbsp;is easy to use. It&nbsp;provides&nbsp;easy-to-write parallelized code.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">Error handling is easy in the&nbsp;PySpark&nbsp;framework. It&nbsp;provides&nbsp;easy error handling and sync point management.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">PySpark&nbsp;is a Python API for Apache Spark.&nbsp;PySpark&nbsp;provides&nbsp;excellent&nbsp;library support. Python has&nbsp;a huge collection&nbsp;of libraries&nbsp;for&nbsp;doing&nbsp;data science and data visualization compared to other languages.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">Spark has already written and implemented many important algorithms. It offers many algorithms in machine learning or graphs.&nbsp;</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li></ol><p><span data-contrast="none" lang="EN-US"><strong>Disadvantages of PySpark:</strong></span><strong><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></strong></p><ol class="CertTheme__ol1 pt-spacing10"><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">Since PySpark is based on Hadoop’s MapReduce model, it can be difficult to manage and express problems in MapReduce models.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">Apache Spark was originally written in Scala, and&nbsp;PySpark&nbsp;was used in Python programs, so it is not as efficient as other programming models. It is about 10 times slower than a Scala program. This negatively&nbsp;impacts&nbsp;the performance of heavy computing applications.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">PySpark’s Spark Streaming API is not as efficient as Scala’s Streaming API. It still needs to improve.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">PySpark has abstracted nodes and uses an abstracted network, so it cannot be used to change Spark's internal workings. Scala is recommended in this case.&nbsp;</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li></ol><p></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow visible"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">2. What is the key difference between an RDD, a DataFrame and a DataSet?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p></p><p><span data-contrast="none" lang="EN-US"><span data-contrast="none" lang="EN-US">A common question in the PySpark Interview Questions, don't miss this one.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span>Let me tell you about the key differences between RDD, DataFrame and DataSet one by one.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><ol class="CertTheme__ol1 pt-spacing10"><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US"><strong>RDD:</strong>&nbsp;</span><span data-contrast="none" lang="EN-US">RDD is full form of Resilient Distributed Dataset. It is the central data structure of&nbsp;PySpark.&nbsp;RDDs are low-level objects that are very efficient at performing distributed tasks. RDDs are ideal for low-level transformations,&nbsp;manipulations,&nbsp;and&nbsp;controls&nbsp;on&nbsp;datasets. RDDs are primarily&nbsp;used to&nbsp;manipulate&nbsp;data&nbsp;using&nbsp;functional programming&nbsp;constructs rather&nbsp;than domain-specific expressions. An RDD can be efficiently reserved if there is a similar arrangement of data that needs to be&nbsp;recomputed. RDD contains all records&nbsp;and&nbsp;DataFrame&nbsp;in&nbsp;PySpark.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US"><strong>DataFrame:</strong></span><span data-contrast="none" lang="EN-US">&nbsp;A DataFrame corresponds to a relational table in Spark SQL. It has structures such as lines and line segments are easier to see. When working with Python, it's best to start with DataFrames and progress to RDDs if we need flexibility. One of biggest drawbacks DataFrame has been its Compile Time Wellbeing. For example, if the information structure is unknown, we have no control over it.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US"><strong>DataSet:</strong>&nbsp;</span><span data-contrast="none" lang="EN-US">A dataset is a distributed collection of data. This is a subset of DataFrame. Dataset is a new interface added in Spark 1.6 to provide the benefits of RDDs. DataSet consists of optimally encoded components. Unlike information fringes, it provides time certainty in an organized way. DataSet provides a higher level of compile-time type safety. It can be used when a typed JVM object is required. DataSet allows you to take advantage of Catalyst optimizations. It can also be used to take advantage of Tungsten's fast code generation.</span></li></ol><p></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow visible"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">3. What is SparkCore? What are the key functions of SparkCore?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p></p><p><span data-contrast="none" lang="EN-US">SparkCore is a&nbsp;high-level&nbsp;execution engine for the Spark&nbsp;platform that includes&nbsp;all&nbsp;features.&nbsp;It offers in-memory computing capabilities&nbsp;for superior&nbsp;speed, a generalized execution model to support&nbsp;a wide variety of&nbsp;applications, and Java, Scala, and Python APIs&nbsp;to simplify development.&nbsp;</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><p><span data-contrast="none" lang="EN-US">The primary role of SparkCore is to perform all basic Input/Output functions, scheduling, monitoring, etc. It is also responsible for troubleshooting and effective memory management.&nbsp;</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><p><span data-contrast="none" lang="EN-US">The key&nbsp;functions&nbsp;of&nbsp;the&nbsp;SparkCore can be listed as:</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><ul><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">To perform all basic Input/Output functions</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">Job scheduling</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">Job&nbsp;monitoring</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">Storage management</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">Fault tolerance</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">To interact with storage systems</span></li></ul><p></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow visible"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">4. What are the machine learning API does PySpark provide?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p></p><p><span data-contrast="none" lang="EN-US">PySpark&nbsp;also&nbsp;provides&nbsp;a machine learning API called MLlib which is very much&nbsp;like&nbsp;Apache Spark. MLlib supports machine learning algorithms. These algorithms are:</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><ol class="CertTheme__ol1 pt-spacing10"><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US"><strong>mllib.classification:</strong></span><span data-contrast="none" lang="EN-US">&nbsp;This machine learning API supports many types of functions of binary or multi-class classification and regression analysis. These functions include random forests, decision trees, and&nbsp;naive bayes.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US"><strong>mllib.clustering:</strong>&nbsp;</span><span data-contrast="none" lang="EN-US">This machine learning API solves the clustering problem for grouping subsets of entities based on identical functions.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US"><strong>mllib.fpm:</strong></span><span data-contrast="none" lang="EN-US">&nbsp;FPM is an acronym for Frequent Pattern Matching for this machine learning API. This machine learning API is used to mine common elements, subsequences, or other structures used to analyze large datasets.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US"><strong>mllib.linalg:</strong>&nbsp;</span><span data-contrast="none" lang="EN-US">This machine learning API is used to solve linear&nbsp;algebra problems.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US"><strong>mllib.recommendation</strong>: This machine learning API is used for collaborative filtering and recommendation&nbsp;systems.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US"><strong>spark.mllib:</strong></span><span data-contrast="none" lang="EN-US">&nbsp;This machine learning API is used to support model-based collaborative filtering which&nbsp;identifies&nbsp;the small latent factors using the Alternating Least Squares (ALS) algorithm. This ALS algorithm is used to predict missing entries.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US"><strong>mllib.regression:</strong>&nbsp;</span><span data-contrast="none" lang="EN-US">This machine learning API is useful for resolving problems&nbsp;using regression&nbsp;algorithms. These algorithms find relationships and variable dependencies.&nbsp;</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li></ol><p></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow visible"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">5. What is PySpark Partition? How many partitions can you make in PySpark?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p>PySpark Partition is a way to divide a large dataset into smaller datasets based on one or more partition keys. As a result, the execution speed is improved because transformations on partitioned data are performed faster because transformations for each partition are performed in parallel. PySpark supports both in-memory (DataFrame) and disk (filesystem) partitioning. When we create a DataFrame from a file or table, PySpark creates the DataFrame in memory with a certain number of subdivisions based on the specified criteria.</p><p>It is also easier to split multiple columns with partitionBy() method by passing the column we want to split as an argument to this method. Syntax of this method is: partitionBy(self, *cols).</p><p>PySpark recommends having 4x partitions for the number of cores in the cluster that the application can use.</p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">6. What are the advantages of PySpark RDD?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p></p><p><span data-contrast="none" lang="EN-US">There are some key advantages of&nbsp;PySpark&nbsp;RDD. Here is the detail explanation of those:</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><ol class="CertTheme__ol1 pt-spacing10"><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US"><strong>Immutability:</strong></span><span data-contrast="none" lang="EN-US">&nbsp;In&nbsp;PySpark, RDDs are immutable.&nbsp;Once created, it&nbsp;cannot&nbsp;be changed&nbsp;later.&nbsp;Every time I apply a transform operation to an RDD, I must create a new RDD.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US"><strong>Fault Tolerance: </strong></span><span data-contrast="none" lang="EN-US">PySpark&nbsp;RDD provides fault tolerance capabilities. If the&nbsp;operation fails, the data is automatically reloaded from other available partitions. This allows us to run&nbsp;PySpark&nbsp;applications seamlessly.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US"><strong>Partitioning:</strong></span><span data-contrast="none" lang="EN-US">&nbsp;By default, when we&nbsp;create an RDD from&nbsp;arbitrary&nbsp;data, the elements&nbsp;of&nbsp;the RDD are&nbsp;split among&nbsp;the available&nbsp;cores.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US"><strong>Lazy Evolution:</strong></span><span data-contrast="none" lang="EN-US">&nbsp;PySpark&nbsp;RDDs follow&nbsp;the&nbsp;Lazy Evolution&nbsp;process. In&nbsp;PySpark&nbsp;RDDs, transform&nbsp;operations are not&nbsp;executed&nbsp;as soon as they&nbsp;occur. Operations&nbsp;are stored in&nbsp;a&nbsp;DAG and evaluated&nbsp;when&nbsp;the first RDD&nbsp;action is found.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US"><strong>In-memory processing</strong>:</span><span data-contrast="none" lang="EN-US">&nbsp;PySpark RDDs are used to load data from disk into memory. We can keep the RDD in memory and reuse the computation.</span></li></ol><p></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">7. What are the industrial benefits of PySpark?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p></p><p><span data-contrast="none" lang="EN-US">Nowadays,&nbsp;every&nbsp;industry makes use of big data to evaluate where they stand and grow. When we hear the term big data, Apache Spark comes to our mind. There are the industry benefits of using&nbsp;PySpark&nbsp;that supports Spark. These benefits can be listed as:</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><ol class="CertTheme__ol1 pt-spacing10"><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US"><strong>Media streaming</strong></span><span data-contrast="none" lang="EN-US"><strong>:</strong> Spark can be used to achieve real-time streaming to provide personalized recommendations to subscribers. Netflix is one such example that uses Apache Spark. It processes around 450 billion events every day to flow to its server-side apps.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US"><strong>Finance</strong></span><span data-contrast="none" lang="EN-US"><strong>:</strong>&nbsp;Bank uses&nbsp;Spark&nbsp;to access&nbsp;and&nbsp;analyze&nbsp;social media&nbsp;profiles. In return, we gain insight into which&nbsp;strategies&nbsp;can&nbsp;help us make the right decisions&nbsp;in terms of&nbsp;customer segmentation, credit risk&nbsp;assessment,&nbsp;fraud&nbsp;detection, and more.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US"><strong>Healthcare</strong></span><span data-contrast="none" lang="EN-US"><strong>:</strong> Healthcare provider uses&nbsp;Spark&nbsp;to analyze patient historical&nbsp;records to identify health issues patients&nbsp;may&nbsp;face&nbsp;after&nbsp;discharge. Spark is also used to perform&nbsp;genomic sequencing,&nbsp;reducing the time required&nbsp;to process genomic&nbsp;data.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US"><strong>The Travel Industry</strong></span><span data-contrast="none" lang="EN-US">: Companies like TripAdvisor&nbsp;use&nbsp;Spark to help users plan the perfect&nbsp;trip,&nbsp;comparing data and&nbsp;reviews&nbsp;from hundreds of websites&nbsp;about places,&nbsp;hotels,&nbsp;and more to make travel decisions. We offer personalized recommendations to enthusiasts.&nbsp;</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US"><strong>Retail and E-Commerce</strong></span><span data-contrast="none" lang="EN-US"><strong>:</strong> This is a key industry segment that requires big data analytics for targeted advertising. Companies like Alibaba run Spark jobs to analyze petabytes of data to improve customer experience, deliver targeted offers and sales, and optimize overall performance.</span></li></ol><p></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">8. What is the use of PySpark SparkConf?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p></p><p><span data-contrast="none" lang="EN-US">PySpark&nbsp;SparkConf is used&nbsp;to set&nbsp;the&nbsp;configuration&nbsp;and parameters&nbsp;required&nbsp;to run the application on the cluster or&nbsp;on the&nbsp;local system. We&nbsp;can run SparkConf by running the&nbsp;following&nbsp;class:</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><div class="jsx-189f2d4cbe17d436 code-block-wrapper mt-spacing10 mb-[16.8px] md:mb-[24px] bg-black p-4 rounded-[12px] relative text-[#708090] overflow-hidden"><div class="jsx-189f2d4cbe17d436 absolute top-4 right-4 z-10"><div class="jsx-189f2d4cbe17d436 px-spacing12 bg-white rounded-full h-10 flex items-center cursor-pointer"><i class="jsx-189f2d4cbe17d436 text-black text-sm icon-copy"></i></div></div><div class="jsx-189f2d4cbe17d436 overflow-x-auto pb-[12px] w-full"><pre id="code-block-mymj227ls" class="jsx-189f2d4cbe17d436 whitespace-pre-wrap break-words w-full font-mono text-sm"><span data-contrast="none" lang="EN-US">class PySpark.SparkConf (</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">localdefaults&nbsp;= True,</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">_jvm&nbsp;= None,</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">_jconf&nbsp;= None</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">)</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span></pre></div></div><p><span data-contrast="none" lang="EN-US">Where:</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:720,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><ol class="CertTheme__ol1 pt-spacing10"><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">localdefaults – It is of type boolean and it indicates whether we require loading values from Java System Properties. Its value is True by default.&nbsp;</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">_jvm&nbsp;– This belongs to the class py4j.java_gateway.JVMView. It&nbsp;is an internal parameter that is used for passing the handle to JVM. This need not be set by the users.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">_jconf – This belongs to the class py4j.java_gateway.JavaObject. This parameter is optional and can be used to pass an existing SparkConf handle to use the parameter.&nbsp;</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li></ol><p></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">9. How can we create DataFrames in PySpark?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p></p><p><span data-contrast="none" lang="EN-US">We can create DataFrame in&nbsp;PySpark&nbsp;by making use of the createDataFrame() method of the SparkSession. Let me explain with an example.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><p><span data-contrast="none" lang="EN-US">For example:</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><div class="jsx-189f2d4cbe17d436 code-block-wrapper mt-spacing10 mb-[16.8px] md:mb-[24px] bg-black p-4 rounded-[12px] relative text-[#708090] overflow-hidden"><div class="jsx-189f2d4cbe17d436 absolute top-4 right-4 z-10"><div class="jsx-189f2d4cbe17d436 px-spacing12 bg-white rounded-full h-10 flex items-center cursor-pointer"><i class="jsx-189f2d4cbe17d436 text-black text-sm icon-copy"></i></div></div><div class="jsx-189f2d4cbe17d436 overflow-x-auto pb-[12px] w-full"><pre id="code-block-455vulk99" class="jsx-189f2d4cbe17d436 whitespace-pre-wrap break-words w-full font-mono text-sm"><span data-contrast="none" lang="EN-US">data = [(‘Raj’, 20),</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">(‘Rahul’, 20),</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559731&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">(‘Simran’, 20)]</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559731&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">columns = [“Name”, “Age”]</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">df&nbsp;= spark.createDataFrame(data = data, schema = columns)</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span></pre></div></div><p><span data-contrast="none" lang="EN-US">This will create&nbsp;a&nbsp;dataframe where columns will be Name and Age. The data will be filled in the columns accordingly.</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559738&quot;:240,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><p><span data-contrast="none" lang="EN-US">Now, we can get the schema of dataframe by using the method df.printSchema(). This will look like:</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><div class="jsx-189f2d4cbe17d436 code-block-wrapper mt-spacing10 mb-[16.8px] md:mb-[24px] bg-black p-4 rounded-[12px] relative text-[#708090] overflow-hidden"><div class="jsx-189f2d4cbe17d436 absolute top-4 right-4 z-10"><div class="jsx-189f2d4cbe17d436 px-spacing12 bg-white rounded-full h-10 flex items-center cursor-pointer"><i class="jsx-189f2d4cbe17d436 text-black text-sm icon-copy"></i></div></div><div class="jsx-189f2d4cbe17d436 overflow-x-auto pb-[12px] w-full"><pre id="code-block-j07rkyhhu" class="jsx-189f2d4cbe17d436 whitespace-pre-wrap break-words w-full font-mono text-sm"><span data-contrast="none" lang="EN-US">&gt;&gt; df.printSchema()</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">root</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">|-- Name:&nbsp;string (nullable = true)</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">|-- Age: integer (nullable = true)</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span></pre></div></div><p></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">10. Is it possible to create PySpark DataFrame from external data source?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p></p><p><span data-contrast="none" lang="EN-US">Yes, we can create&nbsp;PySpark&nbsp;DataFrame from the external data source. Real-time applications&nbsp;leverage&nbsp;external file systems such as local systems, HDFS, HBase, MySQL tables, and S3 Azure. The following example shows how to read data from a CSV file&nbsp;residing&nbsp;on your local system and create a DataFrame.&nbsp;PySpark&nbsp;supports many file extensions like csv, text, avro, parquet, tsv, etc.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><p><span data-contrast="none" lang="EN-US">For example:</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><div class="jsx-189f2d4cbe17d436 code-block-wrapper mt-spacing10 mb-[16.8px] md:mb-[24px] bg-black p-4 rounded-[12px] relative text-[#708090] overflow-hidden"><div class="jsx-189f2d4cbe17d436 absolute top-4 right-4 z-10"><div class="jsx-189f2d4cbe17d436 px-spacing12 bg-white rounded-full h-10 flex items-center cursor-pointer"><i class="jsx-189f2d4cbe17d436 text-black text-sm icon-copy"></i></div></div><div class="jsx-189f2d4cbe17d436 overflow-x-auto pb-[12px] w-full"><pre id="code-block-mzd98d5ci" class="jsx-189f2d4cbe17d436 whitespace-pre-wrap break-words w-full font-mono text-sm"><span data-contrast="none" lang="EN-US">df = spark.read.csv(“path/to/filename.csv”)</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span></pre></div></div><p></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">11. Explain PySpark SQL in detail.</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p></p><p><span data-contrast="none" lang="EN-US"><span data-contrast="none" lang="EN-US">Expect to come across this popular question in PySpark Interview Questions.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span>PySpark SQL is an organized data library for Spark. PySpark SQL provides more details about data structures and operations than the PySpark RDD API. It comes with the "DataFrame" programming paradigm.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><p><span data-contrast="none" lang="EN-US">A DataFrame is a fixed distributed collection of data. DataFrame can handle large amounts of organized data such as relational databases, and semi-structured data such as JavaScript Object Notation or JSON. After creating the DataFrame, we can handle the data using SQL syntax/queries.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><p><span data-contrast="none" lang="EN-US">In&nbsp;PySpark&nbsp;SQL, the first step is to create a temporary table&nbsp;in the DataFrame using the createOrReplaceTempView() function. Tables are&nbsp;available&nbsp;in the&nbsp;SparkSession via the sql() method.&nbsp;These&nbsp;temporary tables&nbsp;can&nbsp;be dropped&nbsp;by&nbsp;closing&nbsp;the SparkSession.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><p><span data-contrast="none" lang="EN-US">The example of&nbsp;PySpark&nbsp;SQL:</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><div class="jsx-189f2d4cbe17d436 code-block-wrapper mt-spacing10 mb-[16.8px] md:mb-[24px] bg-black p-4 rounded-[12px] relative text-[#708090] overflow-hidden"><div class="jsx-189f2d4cbe17d436 absolute top-4 right-4 z-10"><div class="jsx-189f2d4cbe17d436 px-spacing12 bg-white rounded-full h-10 flex items-center cursor-pointer"><i class="jsx-189f2d4cbe17d436 text-black text-sm icon-copy"></i></div></div><div class="jsx-189f2d4cbe17d436 overflow-x-auto pb-[12px] w-full"><pre id="code-block-6vv8xjr15" class="jsx-189f2d4cbe17d436 whitespace-pre-wrap break-words w-full font-mono text-sm"><span data-contrast="none" lang="EN-US">import findspark</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">findspark.init()</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">import&nbsp;PySpark</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">from&nbsp;PySpark.sql import SparkSession</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">spark =&nbsp;SparkSession.builder.getOrCreate()</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">df = spark.sql(“select ‘spark’ as hello”)</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">df.show()</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span></pre></div></div><p></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">12. What do you understand by Lineage Graph in PySpark?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p>The Lineage Graph is a collection of RDD dependencies. There are separate lineage graphs for every Spark application. The lineage graph recompiles RDDs on-demand and restores misplaced data from persisted RDDs. An RDD lineage graph lets us assemble a new RDD or restore data from a lost persisted RDD. It was created by using changes to the RDD and generating a regular execution plan.</p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">13. What is the role of Catalyst Optimizer in PySpark?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p>Catalyst Optimizer plays a very important role in Apache Spark. It helps to improve structural queries in SQL or expressed through DataFrame or DataSet APIs by reducing the program execution time and cost. The Spark Catalyst Optimizer supports both cost-based and rule-based optimization. Rule-based optimization contains a set of rules that define how a query is executed. Cost-based optimization uses rules to create multiple plans and calculate their costs. Catalyst optimizer also manages various big data challenges like semi-structured data and advanced analytics.</p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">14. What are the most significant differences between PySpark and Apache Spark?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p>PySpark is a Python API. It was created and distributed by the Apache Spark agency to make working with Spark less complicated for Python programmers. Scala is the programming language utilized by Apache Spark. It can work with different languages like Java, R, and Python.</p><p>Because Scala is a compile-time, type-secure language, Apache Spark has many skills that PySpark does not. One of which is incorporating Datasets. Datasets are a series of domain-specific objects that can be used to execute concurrent calculations.</p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">15. What is the Parquet file in PySpark?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p>In PySpark, the Parquet file is a column-type format supported by various data processing systems. Using a Parquet file, Spark SQL can perform both read and write operations.</p><p>A Parquet file contains column-type format storage that provides some benefits. The benefits are: It is small and takes up less space. It makes it easier for us to access specific columns. It follows type-specific encoding. It offers better summarized data. It contains very limited Input/Output operations.</p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">16. How can you associate Spark with Apache Mesos?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p><span data-contrast="none" lang="EN-US">We can use some steps to connect Spark with Mesos.</span></p><p><span data-contrast="none" lang="EN-US">First, configure the sparkle driver program to associate with Mesos. The paired Spark volume must be in an open Mesos region. Then install Apache Spark in a similar region as Apache Mesos and design the "spark.mesos.executor.home" property to point to the region where it is installed. This is how we can associate Spark with Apache Mesos.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">17. What is DStream in PySpark?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p><span data-contrast="none" lang="EN-US">In PySpark, DStream is an acronym for Discretized Stream. It is a collection of groups or RDDs of information divided into small clusters. It is also called Apache Spark Discretized Stream and is used as a collection of RDDs in the cluster. DStreams are grounded in Spark RDDs. They are used to allow uninterrupted coordination of streaming with some other Apache Spark options such as Spark MLlib and Spark SQL.</span></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">18. Consider the following scenario: you have a large text file. How will you use PySpark to see if a specific keyword exists or not?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p><span data-contrast="none" lang="EN-US">The code to see the specific keyword exists or not will be:</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:720,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><div class="jsx-189f2d4cbe17d436 code-block-wrapper mt-spacing10 mb-[16.8px] md:mb-[24px] bg-black p-4 rounded-[12px] relative text-[#708090] overflow-hidden"><div class="jsx-189f2d4cbe17d436 absolute top-4 right-4 z-10"><div class="jsx-189f2d4cbe17d436 px-spacing12 bg-white rounded-full h-10 flex items-center cursor-pointer"><i class="jsx-189f2d4cbe17d436 text-black text-sm icon-copy"></i></div></div><div class="jsx-189f2d4cbe17d436 overflow-x-auto pb-[12px] w-full"><pre id="code-block-48eevmjee" class="jsx-189f2d4cbe17d436 whitespace-pre-wrap break-words w-full font-mono text-sm"><span data-contrast="none" lang="EN-US">lines = sc.textFile(“</span><a href="http://hdfs//Hadoop/user/test_file.txt" rel="noreferrer noopener" target="_blank"><span data-contrast="none" lang="EN-US"><span data-ccp-charstyle="Hyperlink">hdfs://Hadoop/user/test_file.txt</span></span></a><span data-contrast="none" lang="EN-US">”);</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">def&nbsp;isFound(line):</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">if&nbsp;line.find(“my_keyword”) &gt; -1</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">return 1</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:720,&quot;335559731&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">return 0</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">foundBits&nbsp;=&nbsp;lines.map(isFound);</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">sum =&nbsp;foundBits.reduce(sum);</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">if sum &gt; 0:</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">print “Found”</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:720,&quot;335559731&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">else:</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">print “Not Found”;</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:720,&quot;335559731&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span></pre></div></div><p><span data-contrast="none" lang="EN-US">If the keyword is found it will print as “Found” else if it not found it will print “Not Found”.</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559738&quot;:240,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">19. What do you mean by error and exception in Python?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p>There are two types of errors in Python: syntax errors and exceptions.</p><p>Syntax errors are often referred to as parsing errors. Bugs are errors in a program that can cause it to crash or terminate unexpectedly. When the parser detects an error, it repeats the problematic line and then displays an arrow pointing to the beginning of the line.</p><p>Exceptions occur in a program when the program's normal flow is disrupted by an external event. Even if the program's syntax is accurate, there is a chance that an error will be encountered during execution; however, this error is an exception. ZeroDivisionError, TypeError, and NameError are some examples of exceptions.</p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">20. How does Apache Spark Streaming work with the receivers?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p></p><p><span data-contrast="none" lang="EN-US">Receivers are unique objects in Apache Spark Streaming whose sole purpose is to consume data from various data sources and then push it to Spark. By streaming contexts as long-running tasks on different executors, we can generate receiver objects.&nbsp;</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559738&quot;:240,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span></p><p><span data-contrast="none" lang="EN-US">There are two different types of receivers which are as follows:</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559731&quot;:720,&quot;335559738&quot;:240,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span></p><ul><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">Reliable Receiver: When data is received and properly copied to Apache Spark Storage, this receiver validates the data sources.</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559738&quot;:240,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">Unreliable receiver: When receiving or replicating data in Apache Spark Storage, these receivers do not recognize data sources.&nbsp;</span></li></ul><p></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">21. How does PySpark handle data skew in shuffling operations?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p>When data is unevenly distributed, PySpark has a few tricks up its sleeve to deal with it. It can shuffle data around to balance things out, sort of like how a teacher might rearrange students in a classroom to balance the teams. This helps everything run more smoothly and evenly. </p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">22. Can you explain the role of Tungsten in PySpark's performance optimization?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p><span data-contrast="auto" lang="EN-GB">Tungsten is all about making Spark run faster and use less memory. It does this by being&nbsp;really smart&nbsp;about how it handles data behind the scenes—think of it as the wizard who fine-tunes the engine of a car for better performance and efficiency.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559740&quot;:276}"></span></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">23. What is the significance of DataFrame API evolution in PySpark?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p>In PySpark, the Catalyst optimizer takes care of making our queries run faster. It works like a smart planner that tweaks and rearranges the steps of our query to make it more efficient. It's like having an expert optimise our travel route, avoiding traffic jams and roadblocks.</p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">24. Explain how broadcasting works in PySpark and why it's useful?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p>Broadcasting is like giving a cheat sheet to all parts of our Spark program. Instead of sending data to each worker node every time it's needed, PySpark sends it once, and each node holds onto it. This is super handy for data that we need to reference often across many nodes because it saves a lot of time and network traffic. </p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">25. What are accumulators in PySpark? Give an example of how they are used.</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p class="CertTheme__paragraph" dir="ltr" data-mode="standard"><span>Accumulators are like counters or tally marks that PySpark uses to keep track of information across tasks. For example, if we wanted to count how many times a certain word appears in documents across all nodes, we could use an accumulator to keep a running total even as our data is processed in parallel.</span><br></p></div></div></div></div><div class="relative"><div class="mt-spacing20 z-10 relative text-center flex justify-center mt-0"><button class="flex items-center gap-x-spacing8 py-spacing4"><span class="text-sm underline font-semibold text-mono-black">View all questions</span><i class="icon-chevron-down-double text-xl leading-5 text-neutral-800"></i></button></div><div class="absolute bottom-0 block h-32 w-full bg-gradient-to-t from-subdued/100 from-30% md:from-40%"></div></div></div></div></div><div class="hidden"><div><div class="text-xl text-neutral-800 mb-spacing20 font-bold">Advanced</div><div class="relative w-full"><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-primary-main outline-2 shadow-card hover:shadow-card visible"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-t-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden">1. What are the types of shared variables in PySpark and why are they useful?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-0 text-neutral-800"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p class="CertTheme__paragraph" data-mode="standard"><br></p><p class="CertTheme__paragraph" dir="ltr" data-mode="standard"><span>Whenever PySpark performs a transform operation using filter(), map(), or reduce(), they are executed on a remote node that uses the variables supplied with the tasks. These variables are not reusable and cannot be shared across jobs because they are not returned to the controller. To solve the problem of reusability and sharing, we use shared variables in PySpark. There are two types of shared variables:</span></p><p class="CertTheme__paragraph" dir="ltr" data-mode="standard"><b><strong class="CertTheme__textBold">Broadcast Variables:</strong></b></p><p class="CertTheme__paragraph" dir="ltr" data-mode="standard"><span>They are also known as read-only shared variables. These are used in cases of data lookup requests. These variables are cached and made available on all cluster nodes to use. These variables are not sent with every task. Instead, they are distributed to nodes using efficient algorithms to reduce communication costs. When we run an RDD task operation that uses Broadcast variables, PySpark does this:</span></p><ul class="CertTheme__ul"><li value="1" class="CertTheme__listItem pt-spacing10"><span>The task is divided into different phases with distributed mixing. Actions are performed in these phases.</span></li><li value="2" class="CertTheme__listItem pt-spacing10"><span>The phases are then divided into tasks.</span></li><li value="3" class="CertTheme__listItem pt-spacing10"><span>Broadcast variables are broadcast to jobs if jobs need to use them.</span></li></ul><p class="CertTheme__paragraph" dir="ltr" data-mode="standard"><span>Broadcast variables are created in PySpark using the broadcast(variable) method of the SparkContext class. The main reason for the use of broadcast variables is that the variables are not sent to the tasks when the broadcast function is called. They will be sent when the variables are first required by the executors.</span></p><p class="CertTheme__paragraph" dir="ltr" data-mode="standard"><b><strong class="CertTheme__textBold">Accumulator Variables:</strong></b></p><p class="CertTheme__paragraph" dir="ltr" data-mode="standard"><span>These variables are known as updatable shared variables. These variables are added through associative and commutative methods. They are used for performing counter or sum operations. PySpark supports the default creation of numeric type accumulators. It can also be used to add custom accumulator types. The custom types are of two types: Named accumulator and Unnamed accumulator.</span></p><ul class="CertTheme__ul"><li value="1" class="CertTheme__listItem pt-spacing10"><span>Named Accumulator: These accumulators are seen under the “Accumulator” tab in the PySpark web UI.</span></li><li value="2" class="CertTheme__listItem pt-spacing10"><span>Unnamed Accumulator: These accumulators are not seen under the “Accumulator” tab in the PySpark web UI.</span></li></ul><p class="CertTheme__paragraph" dir="ltr" data-mode="standard"><br></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow visible"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">2. What is DAGScheduler in PySpark?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p><span data-contrast="none" lang="EN-US">One of the most frequently posed PySpark Interview Questions, be ready for it.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span>The DAG is a full form of Direct Acyclic Graph. In Spark, DAGScheduler represents scheduling layer that implements task scheduling in a phase-oriented manner using tasks and phases. The logical execution plan (the dependencies of the transformation action line on the RDD) is transformed into a physical execution plan consisting of phases. It calculates the DAG of phases needed for each task and keeps track of which phases are realized RDDs and finds the minimum schedule for executing the tasks. These stages are then sent to the TaskScheduler to run the stages. This is shown in the image below:</p><p><img alt="Image" loading="lazy" width="100" height="100" decoding="async"  class="fr-fic fr-dib" style="color:transparent;width:100%;height:auto;background-size:cover;background-position:50% 50%;background-repeat:no-repeat;background-image:url(&quot;data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http%3A//www.w3.org/2000/svg' viewBox='0 0 100 100'%3E%3Cfilter id='b' color-interpolation-filters='sRGB'%3E%3CfeGaussianBlur stdDeviation='20'/%3E%3C/filter%3E%3Cimage preserveAspectRatio='none' filter='url(%23b)' x='0' y='0' height='100%25' width='100%25' href='data:image/svg+xml;base64,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'/%3E%3C/svg%3E&quot;)" sizes="(min-width: 767px) 50vw, 100vw" srcSet="" src="https://images.unsplash.com/photo-1523961131990-521072f1616c?ixlib=rb-4.0.3&auto=format&fit=crop&w=1000&q=80"></p><p><span data-contrast="auto" lang="EN-US">DAGScheduler&nbsp;computes&nbsp;the DAG execution for the task. It&nbsp;specifies&nbsp;preferred locations for running each task. It handles failure due to loss of output files during mixing.</span></p><p><span data-contrast="auto" lang="EN-US">PySpark DAGScheduler follows an event queue architecture. Here, the thread publishes events of type DAGSchedulerEvent, such as a new stage or task. DAGScheduler then reads the phases and executes them sequentially in topological order.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow visible"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">3. How will you create PySpark UDF?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p><span data-contrast="auto" lang="EN-US">Let’s&nbsp;understand the process through an example. Here,&nbsp;</span><span data-contrast="none" lang="EN-US">we want to capitalize the first letter of every word in a string. There is no default feature in&nbsp;PySpark&nbsp;that can achieve this. However, we can make this happen by creating a UDF&nbsp;capitalizeWord(str) and using it on the DataFrames.&nbsp;</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><p><span data-contrast="none" lang="EN-US">First, we will create a Python function capitalizeWord(). This function takes a string as an input and then capitalizes the first character of every word.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><div class="jsx-189f2d4cbe17d436 code-block-wrapper mt-spacing10 mb-[16.8px] md:mb-[24px] bg-black p-4 rounded-[12px] relative text-[#708090] overflow-hidden"><div class="jsx-189f2d4cbe17d436 absolute top-4 right-4 z-10"><div class="jsx-189f2d4cbe17d436 px-spacing12 bg-white rounded-full h-10 flex items-center cursor-pointer"><i class="jsx-189f2d4cbe17d436 text-black text-sm icon-copy"></i></div></div><div class="jsx-189f2d4cbe17d436 overflow-x-auto pb-[12px] w-full"><pre id="code-block-82gesariu" class="jsx-189f2d4cbe17d436 whitespace-pre-wrap break-words w-full font-mono text-sm"><span data-contrast="none" lang="EN-US">def capitalizeWord(str):</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">result = “”</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559731&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">words = str.split(“”)</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559731&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">for word in words:</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559731&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">result = result +&nbsp;word[0:1].upper() + word[1:len(x)] + “”</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:1440,&quot;335559731&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">return result</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559731&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span></pre></div></div><p><span data-contrast="none" lang="EN-US">Now, we will register the function as a&nbsp;PySpark&nbsp;UDF using the udf() method from org.apache.spark.sql.functions.udf package.&nbsp;This package must be imported.&nbsp;This function will return the object of class org.apache.spark.sql.expressions.UserDefinedFunction. The code for converting a function to UDF is:</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559738&quot;:240,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><div class="jsx-189f2d4cbe17d436 code-block-wrapper mt-spacing10 mb-[16.8px] md:mb-[24px] bg-black p-4 rounded-[12px] relative text-[#708090] overflow-hidden"><div class="jsx-189f2d4cbe17d436 absolute top-4 right-4 z-10"><div class="jsx-189f2d4cbe17d436 px-spacing12 bg-white rounded-full h-10 flex items-center cursor-pointer"><i class="jsx-189f2d4cbe17d436 text-black text-sm icon-copy"></i></div></div><div class="jsx-189f2d4cbe17d436 overflow-x-auto pb-[12px] w-full"><pre id="code-block-x0l9r9up0" class="jsx-189f2d4cbe17d436 whitespace-pre-wrap break-words w-full font-mono text-sm"><span data-contrast="none" lang="EN-US">capitalizeWordUDF = udf(lambda z: capitalizeWord(z), StringType())</span></pre></div></div><p><span data-contrast="none" lang="EN-US">Next step is to use UDF with DataFrame. We can apply UDF on a Python DataFrame as it will act as the built-in function of DataFrame. Consider we have a DataFrame stored in variable df, which has the columns as ID_COLUMN and NAME_COLUMN. Now, to capitalize every first character of the word, we will code as:</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559738&quot;:240,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><div class="jsx-189f2d4cbe17d436 code-block-wrapper mt-spacing10 mb-[16.8px] md:mb-[24px] bg-black p-4 rounded-[12px] relative text-[#708090] overflow-hidden"><div class="jsx-189f2d4cbe17d436 absolute top-4 right-4 z-10"><div class="jsx-189f2d4cbe17d436 px-spacing12 bg-white rounded-full h-10 flex items-center cursor-pointer"><i class="jsx-189f2d4cbe17d436 text-black text-sm icon-copy"></i></div></div><div class="jsx-189f2d4cbe17d436 overflow-x-auto pb-[12px] w-full"><pre id="code-block-bo7mc3768" class="jsx-189f2d4cbe17d436 whitespace-pre-wrap break-words w-full font-mono text-sm"><span data-contrast="none" lang="EN-US">df.select(col(“ID_COLUMN”), convertUDF(col(“NAME_COLUMN”))</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:720,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">.alias(“NAME_COLUMN”) )</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:720,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">.show(truncate = False)</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:720,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span></pre></div></div><p><span data-contrast="none" lang="EN-US">UDFs must be designed so that the algorithms are efficient and take up less time and space. If care is not taken, the performance of DataFrame operations will be affected.</span></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow visible"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">4. How to create SparkSession?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p></p><p><span data-contrast="none" lang="EN-US">We use the builder pattern to create a SparkSession. In&nbsp;PySpark.sql&nbsp;library, there is the SparkSession class which has the&nbsp;getOrCreate() method. This method will create a new SparkSession if there is none or else it will return the existing SparkSession object. The code for create SparkSession looks like:</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><div class="jsx-189f2d4cbe17d436 code-block-wrapper mt-spacing10 mb-[16.8px] md:mb-[24px] bg-black p-4 rounded-[12px] relative text-[#708090] overflow-hidden"><div class="jsx-189f2d4cbe17d436 absolute top-4 right-4 z-10"><div class="jsx-189f2d4cbe17d436 px-spacing12 bg-white rounded-full h-10 flex items-center cursor-pointer"><i class="jsx-189f2d4cbe17d436 text-black text-sm icon-copy"></i></div></div><div class="jsx-189f2d4cbe17d436 overflow-x-auto pb-[12px] w-full"><pre id="code-block-hw68yn357" class="jsx-189f2d4cbe17d436 whitespace-pre-wrap break-words w-full font-mono text-sm"><span data-contrast="none" lang="EN-US">import PySpark from PySpark.sql</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">import SparkSession</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">spark = SparkSession.builder.master(“local[1]”)</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">.appName(‘KnowledgeHuntSparkSession’)</span><span data-contrast="none" lang="EN-US">&nbsp;</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">.getOrCreate()</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span></pre></div></div><p><span data-contrast="none" lang="EN-US">Where,&nbsp;</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:720,&quot;335559738&quot;:240,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><ul><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">master() - This is used to set the mode in which the application should run - cluster mode (use the name master) or standalone mode. For Standalone mode, we use local[x] for the function, where x represents the number of partitions to create in the RDD, DataFrame, and DataSet. The value of x is ideally the number of available CPU cores.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">appName() – This is used to set the app name.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">getOrCreate() – This is used to return a SparkSession object. This will create a new object if it does not exist. If there is an object there, it simply returns it.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li></ul><p><span data-contrast="none" lang="EN-US">If we want to create a new SparkSession object each time, we can use the newSession method. This method looks like:</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><div class="jsx-189f2d4cbe17d436 code-block-wrapper mt-spacing10 mb-[16.8px] md:mb-[24px] bg-black p-4 rounded-[12px] relative text-[#708090] overflow-hidden"><div class="jsx-189f2d4cbe17d436 absolute top-4 right-4 z-10"><div class="jsx-189f2d4cbe17d436 px-spacing12 bg-white rounded-full h-10 flex items-center cursor-pointer"><i class="jsx-189f2d4cbe17d436 text-black text-sm icon-copy"></i></div></div><div class="jsx-189f2d4cbe17d436 overflow-x-auto pb-[12px] w-full"><pre id="code-block-pvkk0pe90" class="jsx-189f2d4cbe17d436 whitespace-pre-wrap break-words w-full font-mono text-sm"><span data-contrast="none" lang="EN-US">import PySpark from PySpark.sql</span><span data-contrast="none" lang="EN-US">&nbsp;</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559731&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">import SparkSession</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559731&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">spark_session&nbsp;=&nbsp;SparkSession.newSession</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559731&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span></pre></div></div><p></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow visible"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">5. What are the different methods for creating RDD in PySpark?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p></p><p><span data-contrast="none" lang="EN-US">In&nbsp;PySpark, there are various methods used to create RDD.&nbsp;Let’s&nbsp;discuss them one by one.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><p><span data-contrast="none" lang="EN-US">Using sparkContext.parallelize()</span><span data-contrast="none" lang="EN-US">&nbsp;- SparkContext's&nbsp;parallelize() method can be used to create RDDs. This method retrieves an existing collection from the controller and parallelizes it. This is the basic approach to creating an RDD and is used when we have data already present in memory. This also requires all data to be present in the driver before the RDD is created. The code to create an RDD using the parallelize method for the python list is:&nbsp;</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><div class="jsx-189f2d4cbe17d436 code-block-wrapper mt-spacing10 mb-[16.8px] md:mb-[24px] bg-black p-4 rounded-[12px] relative text-[#708090] overflow-hidden"><div class="jsx-189f2d4cbe17d436 absolute top-4 right-4 z-10"><div class="jsx-189f2d4cbe17d436 px-spacing12 bg-white rounded-full h-10 flex items-center cursor-pointer"><i class="jsx-189f2d4cbe17d436 text-black text-sm icon-copy"></i></div></div><div class="jsx-189f2d4cbe17d436 overflow-x-auto pb-[12px] w-full"><pre id="code-block-qb1z8fgpt" class="jsx-189f2d4cbe17d436 whitespace-pre-wrap break-words w-full font-mono text-sm"><span data-contrast="none" lang="EN-US">list = [1,2,3,4,5,6,7,8,9,10,11]</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559731&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">rdd&nbsp;=&nbsp;spark.sparkContext.parallelize(list)</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559731&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span></pre></div></div><p><span data-contrast="none" lang="EN-US">Using sparkContext.textFile()&nbsp;</span><span data-contrast="none" lang="EN-US">- We can read .txt file and convert it into RDD. The syntax looks like:</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559738&quot;:240,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><div class="jsx-189f2d4cbe17d436 code-block-wrapper mt-spacing10 mb-[16.8px] md:mb-[24px] bg-black p-4 rounded-[12px] relative text-[#708090] overflow-hidden"><div class="jsx-189f2d4cbe17d436 absolute top-4 right-4 z-10"><div class="jsx-189f2d4cbe17d436 px-spacing12 bg-white rounded-full h-10 flex items-center cursor-pointer"><i class="jsx-189f2d4cbe17d436 text-black text-sm icon-copy"></i></div></div><div class="jsx-189f2d4cbe17d436 overflow-x-auto pb-[12px] w-full"><pre id="code-block-md41dkycr" class="jsx-189f2d4cbe17d436 whitespace-pre-wrap break-words w-full font-mono text-sm"><span data-contrast="none" lang="EN-US">rdd_txt = spark.sparkContext.textFile("/path/to/textFile.txt")</span></pre></div></div><p><span data-contrast="none" lang="EN-US">Using sparkContext.wholeTextFiles()</span><span data-contrast="none" lang="EN-US">&nbsp;- This method returns PairRDD. PairRDD is an RDD that contains key-value pairs. In this PairRDD, file path is the key and file content is the value. This method reads entire file into an RDD as a single record. Besides, this method can also read files in other formats like CSV, JSON, parquet, etc. and create the RDDs.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><div class="jsx-189f2d4cbe17d436 code-block-wrapper mt-spacing10 mb-[16.8px] md:mb-[24px] bg-black p-4 rounded-[12px] relative text-[#708090] overflow-hidden"><div class="jsx-189f2d4cbe17d436 absolute top-4 right-4 z-10"><div class="jsx-189f2d4cbe17d436 px-spacing12 bg-white rounded-full h-10 flex items-center cursor-pointer"><i class="jsx-189f2d4cbe17d436 text-black text-sm icon-copy"></i></div></div><div class="jsx-189f2d4cbe17d436 overflow-x-auto pb-[12px] w-full"><pre id="code-block-iiy7fijy4" class="jsx-189f2d4cbe17d436 whitespace-pre-wrap break-words w-full font-mono text-sm"><span data-contrast="none" lang="EN-US">rdd_whole_text = spark.sparkContext.wholeTextFiles("/path/to/textFile.txt")</span></pre></div></div><p><span data-contrast="none" lang="EN-US">Empty RDD with no partition using sparkContext.emptyRDD&nbsp;</span><span data-contrast="none" lang="EN-US">- The RDD without any data is known as empty RDD. We can make such RDDs which have no partitions by using the emptyRDD() method. The code piece for that will look like:&nbsp;</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><div class="jsx-189f2d4cbe17d436 code-block-wrapper mt-spacing10 mb-[16.8px] md:mb-[24px] bg-black p-4 rounded-[12px] relative text-[#708090] overflow-hidden"><div class="jsx-189f2d4cbe17d436 absolute top-4 right-4 z-10"><div class="jsx-189f2d4cbe17d436 px-spacing12 bg-white rounded-full h-10 flex items-center cursor-pointer"><i class="jsx-189f2d4cbe17d436 text-black text-sm icon-copy"></i></div></div><div class="jsx-189f2d4cbe17d436 overflow-x-auto pb-[12px] w-full"><pre id="code-block-4kklt22tl" class="jsx-189f2d4cbe17d436 whitespace-pre-wrap break-words w-full font-mono text-sm"><span data-contrast="none" lang="EN-US">empty_rdd = spark.sparkContext.emptyRDD</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559731&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">empty_rdd_string = spark.sparkContext.emptyRDD[String]</span></pre></div></div><p><span data-contrast="none" lang="EN-US">Empty RDD with partitions using sparkContext.parallelize</span><span data-contrast="none" lang="EN-US">&nbsp;- When we require partition but not the data, then we create empty RDD by using the parallelize method. For example, below code create the empty RDD with 10 partitions:&nbsp;</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559738&quot;:240,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><div class="jsx-189f2d4cbe17d436 code-block-wrapper mt-spacing10 mb-[16.8px] md:mb-[24px] bg-black p-4 rounded-[12px] relative text-[#708090] overflow-hidden"><div class="jsx-189f2d4cbe17d436 absolute top-4 right-4 z-10"><div class="jsx-189f2d4cbe17d436 px-spacing12 bg-white rounded-full h-10 flex items-center cursor-pointer"><i class="jsx-189f2d4cbe17d436 text-black text-sm icon-copy"></i></div></div><div class="jsx-189f2d4cbe17d436 overflow-x-auto pb-[12px] w-full"><pre id="code-block-zjeuttos1" class="jsx-189f2d4cbe17d436 whitespace-pre-wrap break-words w-full font-mono text-sm"><span data-contrast="none" lang="EN-US">empty_partitioned_rdd = spark.sparkContext.parallelize([],10)</span></pre></div></div><p></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">6. What is PySpark SQL? Explain with an example.</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p></p><p><span data-contrast="none" lang="EN-US">PySpark&nbsp;SQL is the most famous&nbsp;PySpark&nbsp;module used to process&nbsp;structured&nbsp;columnar data. Once the DataFrame is created, we can work with the data using SQL syntax. Spark SQL is used to pass native raw SQL queries to Spark using select,&nbsp;where&nbsp;group by, join, union, etc. To use&nbsp;PySpark&nbsp;SQL, the first step is to create a temporary table on a DataFrame using the createOrReplaceTempView() method. Once created, the table is accessible within a SparkSession using the sql() function. When the SparkSession is&nbsp;terminated, the temporary table will get dropped.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><p><span data-contrast="none" lang="EN-US">For example, consider that we have a DataFrame assigned to the variable df which&nbsp;contains&nbsp;Name, Age and Gender of Students as the columns. Now, we will create a temporary table of the DataFrame that gets&nbsp;access&nbsp;to&nbsp;the SparkSession by using the sql() function.&nbsp;The SQL queries can be run within the function.&nbsp;&nbsp;</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><div class="jsx-189f2d4cbe17d436 code-block-wrapper mt-spacing10 mb-[16.8px] md:mb-[24px] bg-black p-4 rounded-[12px] relative text-[#708090] overflow-hidden"><div class="jsx-189f2d4cbe17d436 absolute top-4 right-4 z-10"><div class="jsx-189f2d4cbe17d436 px-spacing12 bg-white rounded-full h-10 flex items-center cursor-pointer"><i class="jsx-189f2d4cbe17d436 text-black text-sm icon-copy"></i></div></div><div class="jsx-189f2d4cbe17d436 overflow-x-auto pb-[12px] w-full"><pre id="code-block-au0oexw7x" class="jsx-189f2d4cbe17d436 whitespace-pre-wrap break-words w-full font-mono text-sm"><span data-contrast="none" lang="EN-US">df.createOrReplaceTempView("STUDENTS")</span><span data-contrast="none" lang="EN-US">&nbsp;</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559731&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">df_new&nbsp;=&nbsp;spark.sql("SELECT * from STUDENTS")</span><span data-contrast="none" lang="EN-US">&nbsp;</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559731&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">df_new.printSchema()</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559731&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">The schema will be shown as:</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:720,&quot;335559738&quot;:240,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">&gt;&gt; df.printSchema()</span><span data-contrast="none" lang="EN-US">&nbsp;</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559731&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">root</span><span data-contrast="none" lang="EN-US">&nbsp;</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559731&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">|-- Name: string (nullable = true)</span><span data-contrast="none" lang="EN-US">&nbsp;</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559731&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">|-- Age: integer (nullable = true)</span><span data-contrast="none" lang="EN-US">&nbsp;</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559731&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">|-- Gender: string (nullable = true)</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559731&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span></pre></div></div><p></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">7. How to inner join two DataFrames?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p class="CertTheme__paragraph" data-mode="standard"><br></p><p class="CertTheme__paragraph" dir="ltr" data-mode="standard"><span>We can use join() method that is present in PySpark SQL. The syntax of the method looks like:</span></p><div class="jsx-189f2d4cbe17d436 code-block-wrapper mt-spacing10 mb-[16.8px] md:mb-[24px] bg-black p-4 rounded-[12px] relative text-[#708090] overflow-hidden"><div class="jsx-189f2d4cbe17d436 absolute top-4 right-4 z-10"><div class="jsx-189f2d4cbe17d436 px-spacing12 bg-white rounded-full h-10 flex items-center cursor-pointer"><i class="jsx-189f2d4cbe17d436 text-black text-sm icon-copy"></i></div></div><div class="jsx-189f2d4cbe17d436 overflow-x-auto pb-[12px] w-full"><pre id="code-block-xzwe9cegt" class="jsx-189f2d4cbe17d436 whitespace-pre-wrap break-words w-full font-mono text-sm"><span class="CertTheme__tokenFunction">join</span><span class="CertTheme__tokenPunctuation">(</span><span>self</span><span class="CertTheme__tokenPunctuation">,</span><span> other</span><span class="CertTheme__tokenPunctuation">,</span><span> on </span><span class="CertTheme__tokenOperator">=</span><span> None</span><span class="CertTheme__tokenPunctuation">,</span><span> how </span><span class="CertTheme__tokenOperator">=</span><span> None</span><span class="CertTheme__tokenPunctuation">)</span><span>&nbsp;</span></pre></div></div><p class="CertTheme__paragraph" dir="ltr" data-mode="standard"><span>Where,</span></p><ul class="CertTheme__ul"><li value="1" class="CertTheme__listItem pt-spacing10"><span>other – It is the right side of the join.</span></li><li value="2" class="CertTheme__listItem pt-spacing10"><span>on – It is the column name string used for joining.</span></li><li value="3" class="CertTheme__listItem pt-spacing10"><span>how – It is the type of join. Default type is inner. The values of the type can be inner, left, right, cross, full, outer, left_outer, right_outer, left_anti and left_semi.</span></li></ul><p class="CertTheme__paragraph" dir="ltr" data-mode="standard"><span>where() and filter() methods can be attached to the join expression to filter rows. We can also have multiple joins using the chaining join() method.</span></p><p class="CertTheme__paragraph" dir="ltr" data-mode="standard"><span>For example, consider we have two dataframes named Employee and Department. Both have columns named as emp_id, emp_name, empdept_id and dept_id, dept_name respectively. We can internally join the Employee DataFrame with the Department DataFrame to get the department information along with the employee information. The code will look like:</span></p><div class="jsx-189f2d4cbe17d436 code-block-wrapper mt-spacing10 mb-[16.8px] md:mb-[24px] bg-black p-4 rounded-[12px] relative text-[#708090] overflow-hidden"><div class="jsx-189f2d4cbe17d436 absolute top-4 right-4 z-10"><div class="jsx-189f2d4cbe17d436 px-spacing12 bg-white rounded-full h-10 flex items-center cursor-pointer"><i class="jsx-189f2d4cbe17d436 text-black text-sm icon-copy"></i></div></div><div class="jsx-189f2d4cbe17d436 overflow-x-auto pb-[12px] w-full"><pre id="code-block-uy6lwqmwm" class="jsx-189f2d4cbe17d436 whitespace-pre-wrap break-words w-full font-mono text-sm"><span>emp_dept_df </span><span class="CertTheme__tokenOperator">=</span><span> empDF</span><span class="CertTheme__tokenPunctuation">.</span><span class="CertTheme__tokenFunction">join</span><span class="CertTheme__tokenPunctuation">(</span><span>deptDF</span><span class="CertTheme__tokenPunctuation">,</span><span>empDF</span><span class="CertTheme__tokenPunctuation">.</span><span>empdept_id</span><span class="CertTheme__tokenOperator">==</span><span>deptDF</span><span class="CertTheme__tokenPunctuation">.</span><span>dept_id</span><span class="CertTheme__tokenPunctuation">,</span><span class="CertTheme__tokenSelector">"inner"</span><span class="CertTheme__tokenPunctuation">)</span><span class="CertTheme__tokenPunctuation">.</span><span class="CertTheme__tokenFunction">show</span><span class="CertTheme__tokenPunctuation">(</span><span>truncate </span><span class="CertTheme__tokenOperator">=</span><span> False</span><span class="CertTheme__tokenPunctuation">)</span><span>&nbsp;</span></pre></div></div><p class="CertTheme__paragraph" dir="ltr" data-mode="standard"><br></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">8. What is PySpark Streaming? How can you stream data using TCP/IP protocol?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p>PySpark Streaming is a scalable, fault-tolerant, high-throughput process streaming system that supports both streaming and batch loading to support real-time data from data sources such as TCP Socket, S3, Kafka, Twitter, file system folders, etc. The processed data can be sent to live dashboards, Kafka, databases, HDFS, etc.</p><p><img alt="Image" loading="lazy" width="100" height="100" decoding="async"  class="fr-fic fr-dib" style="color:transparent;width:100%;height:auto;background-size:cover;background-position:50% 50%;background-repeat:no-repeat;background-image:url(&quot;data:image/svg+xml;charset=utf-8,%3Csvg xmlns='http%3A//www.w3.org/2000/svg' viewBox='0 0 100 100'%3E%3Cfilter id='b' color-interpolation-filters='sRGB'%3E%3CfeGaussianBlur stdDeviation='20'/%3E%3C/filter%3E%3Cimage preserveAspectRatio='none' filter='url(%23b)' x='0' y='0' height='100%25' width='100%25' href='data:image/svg+xml;base64,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'/%3E%3C/svg%3E&quot;)" sizes="(min-width: 767px) 50vw, 100vw" srcSet="" src="https://images.unsplash.com/photo-1523961131990-521072f1616c?ixlib=rb-4.0.3&auto=format&fit=crop&w=1000&q=80"></p><p><span data-contrast="auto" lang="EN-US">To stream from a TCP socket, we can use the readStream.format("socket") method of the Spark session object to read data from the TCP socket and provide the host and port of the streaming source as options. The code will look like:</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559738&quot;:240,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><div class="jsx-189f2d4cbe17d436 code-block-wrapper mt-spacing10 mb-[16.8px] md:mb-[24px] bg-black p-4 rounded-[12px] relative text-[#708090] overflow-hidden"><div class="jsx-189f2d4cbe17d436 absolute top-4 right-4 z-10"><div class="jsx-189f2d4cbe17d436 px-spacing12 bg-white rounded-full h-10 flex items-center cursor-pointer"><i class="jsx-189f2d4cbe17d436 text-black text-sm icon-copy"></i></div></div><div class="jsx-189f2d4cbe17d436 overflow-x-auto pb-[12px] w-full"><pre id="code-block-fg9dya7mx" class="jsx-189f2d4cbe17d436 whitespace-pre-wrap break-words w-full font-mono text-sm"><span data-contrast="none" lang="EN-US">from PySpark import SparkContext</span><span data-contrast="none" lang="EN-US">&nbsp;</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559731&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">from&nbsp;PySpark.streaming</span><span data-contrast="none" lang="EN-US">&nbsp;</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559731&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">import&nbsp;StreamingContext&nbsp;from&nbsp;PySpark.sql</span><span data-contrast="none" lang="EN-US">&nbsp;</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559731&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">import&nbsp;SQLContext&nbsp;from&nbsp;PySpark.sql.functions</span><span data-contrast="none" lang="EN-US">&nbsp;</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559731&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">import&nbsp;desc</span><span data-contrast="none" lang="EN-US">&nbsp;</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559731&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">sc = SparkContext()</span><span data-contrast="none" lang="EN-US">&nbsp;</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559731&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">ssc&nbsp;= StreamingContext(sc,&nbsp;10)</span><span data-contrast="none" lang="EN-US">&nbsp;</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559731&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">sqlContext = SQLContext(sc)</span><span data-contrast="none" lang="EN-US">&nbsp;</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559731&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">socket_stream&nbsp;=&nbsp;ssc.socketTextStream("127.0.0.1",&nbsp;5555)</span><span data-contrast="none" lang="EN-US">&nbsp;</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559731&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">lines =&nbsp;socket_stream.window(20) df.printSchema()</span><span data-contrast="none" lang="EN-US">&nbsp;</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559731&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></pre></div></div><p><span data-contrast="none" lang="EN-US">Spark retrieves the data from the socket and represents it in the value column of the DataFrame object. After processing the data, the DataFrame can be streamed to the console or other destinations on demand such as Kafka, dashboards, databases, etc.&nbsp;</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">9. Explain different levels of persistence that exist in PySpark.</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p></p><p><span data-contrast="none" lang="EN-US">Spark automatically stores intermediate data from various shuffle processes. However, it is recommended to use RDD's&nbsp;persist() function. There are many levels of persistence for storing RDDs in memory, disk, or both, with varying levels of replication. The following persistence levels are available in Spark:&nbsp;</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><ol class="CertTheme__ol1 pt-spacing10"><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">MEMORY ONLY: This is the default persistence level and is used to store RDDs on the JVM as deserialized Java objects. In case the RDDs are too large to fit in memory, the partitions are not cached and must be recomputed as needed.</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">MEMORY AND DISK: On the JVM, RDDs are stored as deserialized Java objects. In case of insufficient memory, partitions that do not fit in memory will be left on disk and data will be read from the drive as needed.</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">MEMORY ONLY SER: RDD is stored as one byte per partition of serialized Java objects.</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">DISK ONLY: RDD partitions are stored on disk only.</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">OFF HEAP: This level is&nbsp;like&nbsp;MEMORY ONLY SER, except that the data is stored in off-heap memory.</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li></ol><p><span data-contrast="none" lang="EN-US">The&nbsp;persist() function has the following syntax for using persistence levels:</span><span data-contrast="none" lang="EN-US">&nbsp;</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:720,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><div class="jsx-189f2d4cbe17d436 code-block-wrapper mt-spacing10 mb-[16.8px] md:mb-[24px] bg-black p-4 rounded-[12px] relative text-[#708090] overflow-hidden"><div class="jsx-189f2d4cbe17d436 absolute top-4 right-4 z-10"><div class="jsx-189f2d4cbe17d436 px-spacing12 bg-white rounded-full h-10 flex items-center cursor-pointer"><i class="jsx-189f2d4cbe17d436 text-black text-sm icon-copy"></i></div></div><div class="jsx-189f2d4cbe17d436 overflow-x-auto pb-[12px] w-full"><pre id="code-block-hbzu9qh3v" class="jsx-189f2d4cbe17d436 whitespace-pre-wrap break-words w-full font-mono text-sm"><span data-contrast="none" lang="EN-US">df.persist(StorageLevel.)</span><span data-contrast="none" lang="EN-US">&nbsp;</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:720,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></pre></div></div><p></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">10. What is the checkpointing in PySpark?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p>The streaming application must be available 24/7 and tolerant of errors outside the application code (e.g., system crashes, JVM crashes, etc.). The checkpointing process makes streaming applications more fault tolerant. We can store data and metadata in the checkpoint directory.</p><p>Checkpoint can be of two types – metadata check and data check.</p><p>A metadata checkpoint allows you to store the information that defines a streaming computation in a fault-tolerant storage system such as HDFS. This helps to recover data after a streaming application controller node failure.</p><p>Data checkpointing means saving the created RDDs to a safe place. This type of checkpoint requires several state calculations that combine data from different batches.</p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">11. In PySpark, how can we determine the total number of unique words?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p></p><p><span data-contrast="none" lang="EN-US">We can&nbsp;determine&nbsp;the total&nbsp;number of unique words by following certain steps in&nbsp;PySpark. The steps to follow can be listed as:</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><ul><li class="CertTheme__listItem pt-spacing10"><p><span data-contrast="none" lang="EN-US">Open the text file in RDD mode.&nbsp;</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p></li></ul><div class="jsx-189f2d4cbe17d436 code-block-wrapper mt-spacing10 mb-[16.8px] md:mb-[24px] bg-black p-4 rounded-[12px] relative text-[#708090] overflow-hidden"><div class="jsx-189f2d4cbe17d436 absolute top-4 right-4 z-10"><div class="jsx-189f2d4cbe17d436 px-spacing12 bg-white rounded-full h-10 flex items-center cursor-pointer"><i class="jsx-189f2d4cbe17d436 text-black text-sm icon-copy"></i></div></div><div class="jsx-189f2d4cbe17d436 overflow-x-auto pb-[12px] w-full"><pre id="code-block-mnfjhe74e" class="jsx-189f2d4cbe17d436 whitespace-pre-wrap break-words w-full font-mono text-sm"><span data-contrast="none" lang="EN-US">sc.textFile(“</span><a href="http://hdfs//Hadoop/user/test_file.txt" rel="noreferrer noopener" target="_blank"><span data-contrast="none" lang="EN-US"><span data-ccp-charstyle="Hyperlink">hdfs://Hadoop/</span><span data-ccp-charstyle="Hyperlink">user</span><span data-ccp-charstyle="Hyperlink">/test_file.txt</span></span></a><span data-contrast="none" lang="EN-US">”</span><span data-contrast="none" lang="EN-US">);</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559731&quot;:720,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></pre></div></div><ul><li class="CertTheme__listItem pt-spacing10"><p><span data-contrast="none" lang="EN-US">Then write a function that will convert each line into a single word.</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559738&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p></li></ul><div class="jsx-189f2d4cbe17d436 code-block-wrapper mt-spacing10 mb-[16.8px] md:mb-[24px] bg-black p-4 rounded-[12px] relative text-[#708090] overflow-hidden"><div class="jsx-189f2d4cbe17d436 absolute top-4 right-4 z-10"><div class="jsx-189f2d4cbe17d436 px-spacing12 bg-white rounded-full h-10 flex items-center cursor-pointer"><i class="jsx-189f2d4cbe17d436 text-black text-sm icon-copy"></i></div></div><div class="jsx-189f2d4cbe17d436 overflow-x-auto pb-[12px] w-full"><pre id="code-block-u652gaww4" class="jsx-189f2d4cbe17d436 whitespace-pre-wrap break-words w-full font-mono text-sm"><span data-contrast="none" lang="EN-US">def toWords(line):</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">return line.split();</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span></pre></div></div><ul><li class="CertTheme__listItem pt-spacing10"><p><span data-contrast="none" lang="EN-US">Now, run the toWords function on every member of the RDD in Spark.</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559738&quot;:240,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p></li></ul><div class="jsx-189f2d4cbe17d436 code-block-wrapper mt-spacing10 mb-[16.8px] md:mb-[24px] bg-black p-4 rounded-[12px] relative text-[#708090] overflow-hidden"><div class="jsx-189f2d4cbe17d436 absolute top-4 right-4 z-10"><div class="jsx-189f2d4cbe17d436 px-spacing12 bg-white rounded-full h-10 flex items-center cursor-pointer"><i class="jsx-189f2d4cbe17d436 text-black text-sm icon-copy"></i></div></div><div class="jsx-189f2d4cbe17d436 overflow-x-auto pb-[12px] w-full"><pre id="code-block-dko0ili12" class="jsx-189f2d4cbe17d436 whitespace-pre-wrap break-words w-full font-mono text-sm"><span data-contrast="none" lang="EN-US">words = line.flatMap(toWords);</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559731&quot;:720,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></pre></div></div><ul><li class="CertTheme__listItem pt-spacing10"><p><span data-contrast="none" lang="EN-US">Next, generate a (key, value) pair for every word.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p></li></ul><div class="jsx-189f2d4cbe17d436 code-block-wrapper mt-spacing10 mb-[16.8px] md:mb-[24px] bg-black p-4 rounded-[12px] relative text-[#708090] overflow-hidden"><div class="jsx-189f2d4cbe17d436 absolute top-4 right-4 z-10"><div class="jsx-189f2d4cbe17d436 px-spacing12 bg-white rounded-full h-10 flex items-center cursor-pointer"><i class="jsx-189f2d4cbe17d436 text-black text-sm icon-copy"></i></div></div><div class="jsx-189f2d4cbe17d436 overflow-x-auto pb-[12px] w-full"><pre id="code-block-998xb7u8a" class="jsx-189f2d4cbe17d436 whitespace-pre-wrap break-words w-full font-mono text-sm"><span data-contrast="none" lang="EN-US">def toTuple(word):</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">return (word, 1);</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">wordTuple&nbsp;=&nbsp;words.map(toTuple);</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span></pre></div></div><ul><li class="CertTheme__listItem pt-spacing10"><p><span data-contrast="none" lang="EN-US">Run the&nbsp;reduceByKey() command.</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559738&quot;:240,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p></li></ul><div class="jsx-189f2d4cbe17d436 code-block-wrapper mt-spacing10 mb-[16.8px] md:mb-[24px] bg-black p-4 rounded-[12px] relative text-[#708090] overflow-hidden"><div class="jsx-189f2d4cbe17d436 absolute top-4 right-4 z-10"><div class="jsx-189f2d4cbe17d436 px-spacing12 bg-white rounded-full h-10 flex items-center cursor-pointer"><i class="jsx-189f2d4cbe17d436 text-black text-sm icon-copy"></i></div></div><div class="jsx-189f2d4cbe17d436 overflow-x-auto pb-[12px] w-full"><pre id="code-block-lmrb2slqf" class="jsx-189f2d4cbe17d436 whitespace-pre-wrap break-words w-full font-mono text-sm"><span data-contrast="none" lang="EN-US">def sum(x, y):</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">return&nbsp;x+y:</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">counts = wordsTuple.reduceByKey(sum)</span><span data-ccp-props="{&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:720,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span></pre></div></div><ul><li class="CertTheme__listItem pt-spacing10"><p><span data-contrast="none" lang="EN-US">Then print it out.</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559738&quot;:240,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p></li></ul><div class="jsx-189f2d4cbe17d436 code-block-wrapper mt-spacing10 mb-[16.8px] md:mb-[24px] bg-black p-4 rounded-[12px] relative text-[#708090] overflow-hidden"><div class="jsx-189f2d4cbe17d436 absolute top-4 right-4 z-10"><div class="jsx-189f2d4cbe17d436 px-spacing12 bg-white rounded-full h-10 flex items-center cursor-pointer"><i class="jsx-189f2d4cbe17d436 text-black text-sm icon-copy"></i></div></div><div class="jsx-189f2d4cbe17d436 overflow-x-auto pb-[12px] w-full"><pre id="code-block-gadn9egst" class="jsx-189f2d4cbe17d436 whitespace-pre-wrap break-words w-full font-mono text-sm"><span data-contrast="none" lang="EN-US">counts.collect()</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:720,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></pre></div></div><p></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">12. What are the various operators in PySpark GraphX?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p></p><ul><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">Property Operators</span><span data-contrast="none" lang="EN-US">&nbsp;– These operators create a new graph with a user-defined map function modifying the characteristics of a vertex or edge. For these operators, the graph structure is unchanged. This is an important property of these operators because it allows the generated graph to preserve the structural indices of the original graph.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">Structural Operators&nbsp;</span><span data-contrast="none" lang="EN-US">-&nbsp;GraphX&nbsp;currently supports only a few widely used structural operators. The opposite operator creates a new graph with the directions of the edges reversed. The subgraph operator returns a graph with only vertices and edges that meet the vertex predicate. The mask operator creates a subgraph by returning a graph with all vertices and edges found in the input graph. The&nbsp;groupEdges&nbsp;operator merges parallel edges.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">Join operators&nbsp;</span><span data-contrast="none" lang="EN-US">– Join operators allow you to join data from external collections (RDDs) to existing graphs. For example, we may want to combine new custom attributes with an existing graph or drag vertex properties from one graph to another.&nbsp;</span></li></ul><p></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">13. Tell some recommended practices for making PySpark data science workflow better.</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p></p><ul><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">Avoid dictionaries:</span><span data-contrast="none" lang="EN-US">&nbsp;If we use Python data types such as dictionaries, our code may not be able to run in a distributed fashion. We should consider adding an extra column to the dataframe that can be used as a filter instead of using keys to index items in the dictionary. This suggestion also applies to Python types that are not&nbsp;PySpark&nbsp;distributable, such as lists.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">Limit the use of Pandas:&nbsp;</span><span data-contrast="none" lang="EN-US">Using toPandas causes all data to be loaded into memory on the driver node, preventing operations from running in a distributed fashion. If the data has been previously aggregated and we want to use regular Python plotting tools, this method is fine, but should not be used for larger data frames.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li><li class="CertTheme__listItem pt-spacing10"><span data-contrast="none" lang="EN-US">Minimize eager operations:</span><span data-contrast="none" lang="EN-US">&nbsp;If we want our pipeline to be as scalable as possible, it's best to avoid heavy operations that pull entire data frames into memory. Reading in CSV, for example, is an eager activity, so before using the dataframe I set it to S3 as Parquet before using it in the next steps.&nbsp;</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></li></ul><p></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">14. What role does Caching play in Spark Streaming?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p><span data-contrast="none" lang="EN-US">The basis of Spark Streaming is dividing the content of the data stream into batches of X seconds, known as DStreams. These DStreams allow developers to cache data, which can be especially useful if data from a&nbsp;DStream&nbsp;is used multiple times. The&nbsp;cache() function or the&nbsp;persist() method can be used to cache data with the correct persistence settings. For input streams receiving data over networks such as Kafka, Flume, and others, the default persistence level is configured to achieve data replication across two nodes to achieve fault tolerance.&nbsp;</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p><ul><li class="CertTheme__listItem pt-spacing10"><p><span data-contrast="none" lang="EN-US">Cache method -&nbsp;</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p></li></ul><div class="jsx-189f2d4cbe17d436 code-block-wrapper mt-spacing10 mb-[16.8px] md:mb-[24px] bg-black p-4 rounded-[12px] relative text-[#708090] overflow-hidden"><div class="jsx-189f2d4cbe17d436 absolute top-4 right-4 z-10"><div class="jsx-189f2d4cbe17d436 px-spacing12 bg-white rounded-full h-10 flex items-center cursor-pointer"><i class="jsx-189f2d4cbe17d436 text-black text-sm icon-copy"></i></div></div><div class="jsx-189f2d4cbe17d436 overflow-x-auto pb-[12px] w-full"><pre id="code-block-vrnfpskib" class="jsx-189f2d4cbe17d436 whitespace-pre-wrap break-words w-full font-mono text-sm"><span data-contrast="none" lang="EN-US">val cacheDf = dframe.cache()</span><span data-contrast="none" lang="EN-US">&nbsp;</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:720,&quot;335559731&quot;:720,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></pre></div></div><ul><li class="CertTheme__listItem pt-spacing10"><p><span data-contrast="none" lang="EN-US">Persist method -&nbsp;</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p></li></ul><div class="jsx-189f2d4cbe17d436 code-block-wrapper mt-spacing10 mb-[16.8px] md:mb-[24px] bg-black p-4 rounded-[12px] relative text-[#708090] overflow-hidden"><div class="jsx-189f2d4cbe17d436 absolute top-4 right-4 z-10"><div class="jsx-189f2d4cbe17d436 px-spacing12 bg-white rounded-full h-10 flex items-center cursor-pointer"><i class="jsx-189f2d4cbe17d436 text-black text-sm icon-copy"></i></div></div><div class="jsx-189f2d4cbe17d436 overflow-x-auto pb-[12px] w-full"><pre id="code-block-z6cwr4rje" class="jsx-189f2d4cbe17d436 whitespace-pre-wrap break-words w-full font-mono text-sm"><span data-contrast="none" lang="EN-US">val persistDf = dframe.persist(StorageLevel.MEMORY_ONLY)</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:720,&quot;335559731&quot;:720,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></pre></div></div><p><span data-contrast="none" lang="EN-US">There are some benefits of Caching. The key benefits are time saving and cost efficiency. Since Spark computations are expensive, caching helps in data reuse, which leads to reuse of computations and reduces the cost of operations. By reusing calculations, we can save a lot of time. Worker nodes can execute/run more tasks by reducing the computation execution time. Hence more tasks can be achieved.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:0,&quot;335559731&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">15. What API does PySpark utilize to implement graphs?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p>Spark RDD is extended with a robust API called GraphX that supports graphs and graph-based computations. The Resilient Distributed Property Graph is an enhanced property of Spark RDD, which is a directed multigraph with many parallel edges. User-defined characteristics are associated with each edge and vertex. Multiple connections between the same set of vertices are represented by parallel edges. GraphX offers a collection of operators that enable graph computations such as subgraph, mapReduceTriplets, joinVertices, and so on. It also offers many chart builders and algorithms to facilitate chart analysis.</p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">16. What do you understand by Piping in PySpark?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p>According to the UNIX Standard Streams, Apache Spark supports the pipe() function on RDDs, which allows us to assemble different parts of jobs that can use any language. An RDD transformation can be created using the pipe() function and can be used to read each RDD element as a string. These can be changed as needed and the results can be presented as strings.</p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">17. <p>Examine the given file. The file contains some corrupt data. What will you do with such data and how will you import it into a Spark DataFrame?</p></h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><div class="jsx-189f2d4cbe17d436 code-block-wrapper mt-spacing10 mb-[16.8px] md:mb-[24px] bg-black p-4 rounded-[12px] relative text-[#708090] overflow-hidden"><div class="jsx-189f2d4cbe17d436 absolute top-4 right-4 z-10"><div class="jsx-189f2d4cbe17d436 px-spacing12 bg-white rounded-full h-10 flex items-center cursor-pointer"><i class="jsx-189f2d4cbe17d436 text-black text-sm icon-copy"></i></div></div><div class="jsx-189f2d4cbe17d436 overflow-x-auto pb-[12px] w-full"><pre id="code-block-5o9utzp0y" class="jsx-189f2d4cbe17d436 whitespace-pre-wrap break-words w-full font-mono text-sm"><span class="CertTheme__tokenAttr">import</span><span> findspark&nbsp;</span><br><span>findspark</span><span class="CertTheme__tokenPunctuation">.</span><span class="CertTheme__tokenFunction">init</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenPunctuation">)</span><span>&nbsp;</span><br><span>from&nbsp;PySpark</span><span class="CertTheme__tokenPunctuation">.</span><span> sql </span><span class="CertTheme__tokenAttr">import</span><span> Sparksession</span><span class="CertTheme__tokenPunctuation">,</span><span> types&nbsp;</span><br><span>spark </span><span class="CertTheme__tokenOperator">=</span><span> Sparksession</span><span class="CertTheme__tokenPunctuation">.</span><span>builder</span><span class="CertTheme__tokenPunctuation">.</span><span class="CertTheme__tokenFunction">master</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenSelector">"local"</span><span class="CertTheme__tokenPunctuation">)</span><span class="CertTheme__tokenPunctuation">.</span><span class="CertTheme__tokenFunction">appName</span><span class="CertTheme__tokenPunctuation">(</span><span> "Modes </span><span class="CertTheme__tokenAttr">of</span><span>&nbsp;Dataframereader'</span><span class="CertTheme__tokenPunctuation">)</span><span>\&nbsp;</span><br><span class="CertTheme__tokenPunctuation">.</span><span class="CertTheme__tokenFunction">getorcreate</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenPunctuation">)</span><span>&nbsp;</span><br><span>sc </span><span class="CertTheme__tokenOperator">=</span><span> spark</span><span class="CertTheme__tokenPunctuation">.</span><span>sparkContext&nbsp;</span><br><span>from&nbsp;PySpark</span><span class="CertTheme__tokenPunctuation">.</span><span>sql</span><span class="CertTheme__tokenPunctuation">.</span><span>types </span><span class="CertTheme__tokenAttr">import</span><span> </span><span class="CertTheme__tokenOperator">*</span><span>&nbsp;</span><br><span>schm&nbsp;</span><span class="CertTheme__tokenFunction">structype</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenPunctuation">[</span><span>&nbsp;</span><br><span class="CertTheme__tokenFunction">structField</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenSelector">"col_1"</span><span class="CertTheme__tokenPunctuation">,</span><span> </span><span class="CertTheme__tokenFunction">stringType</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenPunctuation">)</span><span class="CertTheme__tokenPunctuation">,</span><span> True</span><span class="CertTheme__tokenPunctuation">)</span><span class="CertTheme__tokenPunctuation">,</span><span>&nbsp;</span><br><span class="CertTheme__tokenFunction">structField</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenSelector">"col_2"</span><span class="CertTheme__tokenPunctuation">,</span><span> </span><span class="CertTheme__tokenFunction">stringType</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenPunctuation">)</span><span class="CertTheme__tokenPunctuation">,</span><span> True</span><span class="CertTheme__tokenPunctuation">)</span><span class="CertTheme__tokenPunctuation">,</span><span>&nbsp;</span><br><span class="CertTheme__tokenFunction">structrield</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenSelector">"col"</span><span class="CertTheme__tokenPunctuation">,</span><span> </span><span class="CertTheme__tokenFunction">stringtype</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenPunctuation">)</span><span class="CertTheme__tokenPunctuation">,</span><span> True</span><span class="CertTheme__tokenPunctuation">)</span><span class="CertTheme__tokenPunctuation">,</span><span>&nbsp;</span><br><span class="CertTheme__tokenPunctuation">]</span><span class="CertTheme__tokenPunctuation">)</span><span>&nbsp;</span><br><span>df </span><span class="CertTheme__tokenOperator">=</span><span> spark</span><span class="CertTheme__tokenPunctuation">.</span><span>read</span><span class="CertTheme__tokenPunctuation">.</span><span class="CertTheme__tokenFunction">option</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenSelector">"mode"</span><span class="CertTheme__tokenPunctuation">,</span><span> </span><span class="CertTheme__tokenSelector">"DROPMALFORMED"</span><span class="CertTheme__tokenPunctuation">)</span><span class="CertTheme__tokenPunctuation">.</span><span class="CertTheme__tokenFunction">csv</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenSelector">'input1.csv'</span><span class="CertTheme__tokenPunctuation">,</span><span>&nbsp;heade&nbsp;r</span><span class="CertTheme__tokenOperator">=</span><span> True</span><span class="CertTheme__tokenPunctuation">,</span><span> schema </span><span class="CertTheme__tokenOperator">=</span><span> schm</span><span class="CertTheme__tokenPunctuation">)</span><span>&nbsp;</span><br><span>df</span><span class="CertTheme__tokenPunctuation">.</span><span>&nbsp;</span><span class="CertTheme__tokenFunction">show</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenPunctuation">)</span><span>&nbsp;</span></pre></div></div></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">18. <p><span data-contrast="none" lang="EN-US">The given file has a delimiter &nbsp;~|. How will you load it as a Spark DataFrame? Use SparkSession (spark).</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559737&quot;:0,&quot;335559738&quot;:240,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p></h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p></p><div class="jsx-189f2d4cbe17d436 code-block-wrapper mt-spacing10 mb-[16.8px] md:mb-[24px] bg-black p-4 rounded-[12px] relative text-[#708090] overflow-hidden"><div class="jsx-189f2d4cbe17d436 absolute top-4 right-4 z-10"><div class="jsx-189f2d4cbe17d436 px-spacing12 bg-white rounded-full h-10 flex items-center cursor-pointer"><i class="jsx-189f2d4cbe17d436 text-black text-sm icon-copy"></i></div></div><div class="jsx-189f2d4cbe17d436 overflow-x-auto pb-[12px] w-full"><pre id="code-block-qwpj2p5by" class="jsx-189f2d4cbe17d436 whitespace-pre-wrap break-words w-full font-mono text-sm"><span data-contrast="none" lang="EN-US">import findspark</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:720,&quot;335559738&quot;:240,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">findspark.init()</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:720,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">from&nbsp;PySpark.sql import Sparksession, types</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:720,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">spark = Sparksession.builder.master("local").appliame("scenario based")\</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:720,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">-getorcreate()</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:720,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">sc = spark.sparkContext</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:720,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">dfaspark.read.text("input.csv")</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:720,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">df.show(truncate = 0)</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:720,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">header = df.first()[0]</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:720,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">schema = header.split(-')</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:720,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">df_imput = df.filter(df['value'] l= header).rdd.map(lambda x:&nbsp;x[0].&nbsp;split('-|')).toDF&nbsp;(schema)</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:720,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span>
<span data-contrast="none" lang="EN-US">df_input.show(truncate = 0)</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559685&quot;:720,&quot;335559738&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:259}">&nbsp;</span></pre></div></div><p></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">19. <p><span data-contrast="none" lang="EN-US">Consider a file that contains Education as a column. This column includes an array of elements as shown below. Convert each element in the array to a record by using Spark DataFrame.</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559738&quot;:240,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p></h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><div class="jsx-189f2d4cbe17d436 code-block-wrapper mt-spacing10 mb-[16.8px] md:mb-[24px] bg-black p-4 rounded-[12px] relative text-[#708090] overflow-hidden"><div class="jsx-189f2d4cbe17d436 absolute top-4 right-4 z-10"><div class="jsx-189f2d4cbe17d436 px-spacing12 bg-white rounded-full h-10 flex items-center cursor-pointer"><i class="jsx-189f2d4cbe17d436 text-black text-sm icon-copy"></i></div></div><div class="jsx-189f2d4cbe17d436 overflow-x-auto pb-[12px] w-full"><pre id="code-block-77uncz730" class="jsx-189f2d4cbe17d436 whitespace-pre-wrap break-words w-full font-mono text-sm"><span class="CertTheme__tokenAttr">import</span><span> findspark&nbsp;</span><br><span>findspark</span><span class="CertTheme__tokenPunctuation">.</span><span class="CertTheme__tokenFunction">init</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenPunctuation">)</span><span>&nbsp;</span><br><span>from&nbsp;PySpark</span><span class="CertTheme__tokenPunctuation">.</span><span>sql </span><span class="CertTheme__tokenAttr">import</span><span> SparkSession</span><span class="CertTheme__tokenPunctuation">,</span><span> types&nbsp;</span><br><span>spark </span><span class="CertTheme__tokenOperator">=</span><span> SparkSession</span><span class="CertTheme__tokenPunctuation">.</span><span>builder</span><span class="CertTheme__tokenPunctuation">.</span><span class="CertTheme__tokenFunction">master</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenSelector">"local"</span><span class="CertTheme__tokenPunctuation">)</span><span class="CertTheme__tokenPunctuation">.</span><span class="CertTheme__tokenFunction">appName</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenSelector">'scenario based'</span><span class="CertTheme__tokenPunctuation">)</span><span>\&nbsp;</span><br><span class="CertTheme__tokenPunctuation">.</span><span class="CertTheme__tokenFunction">getorCreate</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenPunctuation">)</span><span>&nbsp;</span><br><span>sc </span><span class="CertTheme__tokenOperator">=</span><span> spark</span><span class="CertTheme__tokenPunctuation">.</span><span>sparkContext&nbsp;</span><br><span>in_df </span><span class="CertTheme__tokenOperator">=</span><span> spark</span><span class="CertTheme__tokenPunctuation">.</span><span>read</span><span class="CertTheme__tokenPunctuation">.</span><span class="CertTheme__tokenFunction">option</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenSelector">"delimiter"</span><span class="CertTheme__tokenPunctuation">,</span><span class="CertTheme__tokenSelector">"|"</span><span class="CertTheme__tokenPunctuation">)</span><span class="CertTheme__tokenPunctuation">.</span><span class="CertTheme__tokenFunction">csv</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenSelector">"input4.csv"</span><span class="CertTheme__tokenPunctuation">,</span><span> header</span><span class="CertTheme__tokenOperator">-</span><span>True</span><span class="CertTheme__tokenPunctuation">)</span><span>&nbsp;</span><br><span>in_df</span><span class="CertTheme__tokenPunctuation">.</span><span class="CertTheme__tokenFunction">show</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenPunctuation">)</span><span>&nbsp;</span><br><span>from&nbsp;PySpark</span><span class="CertTheme__tokenPunctuation">.</span><span>sql</span><span class="CertTheme__tokenPunctuation">.</span><span>functions </span><span class="CertTheme__tokenAttr">import</span><span>&nbsp;posexplode_outer</span><span class="CertTheme__tokenPunctuation">,</span><span> split&nbsp;</span><br><span>in_df</span><span class="CertTheme__tokenPunctuation">.</span><span class="CertTheme__tokenFunction">withColumn</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenSelector">"Qualification"</span><span class="CertTheme__tokenPunctuation">,</span><span>&nbsp;</span><span class="CertTheme__tokenFunction">explode_outer</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenFunction">split</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenSelector">"Education"</span><span class="CertTheme__tokenPunctuation">,</span><span class="CertTheme__tokenSelector">","</span><span class="CertTheme__tokenPunctuation">)</span><span class="CertTheme__tokenPunctuation">)</span><span class="CertTheme__tokenPunctuation">)</span><span class="CertTheme__tokenPunctuation">.</span><span class="CertTheme__tokenFunction">show</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenPunctuation">)</span><span>&nbsp;</span><br><span>in_df</span><span class="CertTheme__tokenPunctuation">.</span><span class="CertTheme__tokenFunction">select</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenSelector">"*"</span><span class="CertTheme__tokenPunctuation">,</span><span> </span><span class="CertTheme__tokenFunction">posexplode_outer</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenFunction">split</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenSelector">"Education"</span><span class="CertTheme__tokenPunctuation">,</span><span class="CertTheme__tokenSelector">","</span><span class="CertTheme__tokenPunctuation">)</span><span class="CertTheme__tokenPunctuation">)</span><span class="CertTheme__tokenPunctuation">)</span><span class="CertTheme__tokenPunctuation">.</span><span class="CertTheme__tokenFunction">withColumnRenamed</span><span> </span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenSelector">"col"</span><span class="CertTheme__tokenPunctuation">,</span><span> </span><span class="CertTheme__tokenSelector">"Qualification"</span><span class="CertTheme__tokenPunctuation">)</span><span class="CertTheme__tokenPunctuation">.</span><span class="CertTheme__tokenFunction">withColumnRenamed</span><span> </span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenSelector">"pos"</span><span class="CertTheme__tokenPunctuation">,</span><span> </span><span class="CertTheme__tokenSelector">"Index"</span><span class="CertTheme__tokenPunctuation">)</span><span class="CertTheme__tokenPunctuation">.</span><span class="CertTheme__tokenFunction">drop</span><span class="CertTheme__tokenPunctuation">(</span><span>“Education”</span><span class="CertTheme__tokenPunctuation">)</span><span class="CertTheme__tokenPunctuation">.</span><span class="CertTheme__tokenFunction">show</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenPunctuation">)</span><span>&nbsp;</span></pre></div></div></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">20. <p><span data-contrast="none" lang="EN-US">How will you merge two files File1 and File2 into a single DataFrame if they have different schemas?</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335551550&quot;:1,&quot;335551620&quot;:1,&quot;335559739&quot;:160,&quot;335559740&quot;:259}">&nbsp;</span></p></h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><div class="jsx-189f2d4cbe17d436 code-block-wrapper mt-spacing10 mb-[16.8px] md:mb-[24px] bg-black p-4 rounded-[12px] relative text-[#708090] overflow-hidden"><div class="jsx-189f2d4cbe17d436 absolute top-4 right-4 z-10"><div class="jsx-189f2d4cbe17d436 px-spacing12 bg-white rounded-full h-10 flex items-center cursor-pointer"><i class="jsx-189f2d4cbe17d436 text-black text-sm icon-copy"></i></div></div><div class="jsx-189f2d4cbe17d436 overflow-x-auto pb-[12px] w-full"><pre id="code-block-xaizzwxcx" class="jsx-189f2d4cbe17d436 whitespace-pre-wrap break-words w-full font-mono text-sm"><span class="CertTheme__tokenAttr">import</span><span> findspark&nbsp;</span><br><span>findspark</span><span class="CertTheme__tokenPunctuation">.</span><span class="CertTheme__tokenFunction">init</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenPunctuation">)</span><span>&nbsp;</span><br><span>from&nbsp;PySpark</span><span class="CertTheme__tokenPunctuation">.</span><span>sql </span><span class="CertTheme__tokenAttr">import</span><span> SparkSession</span><span class="CertTheme__tokenPunctuation">,</span><span> types&nbsp;</span><br><span>spark </span><span class="CertTheme__tokenOperator">=</span><span> SparkSession</span><span class="CertTheme__tokenPunctuation">.</span><span>builder</span><span class="CertTheme__tokenPunctuation">.</span><span class="CertTheme__tokenFunction">master</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenSelector">"local"</span><span class="CertTheme__tokenPunctuation">)</span><span class="CertTheme__tokenPunctuation">.</span><span class="CertTheme__tokenFunction">appName</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenSelector">'Modes of&nbsp;Dataframereader'</span><span class="CertTheme__tokenPunctuation">)</span><span>\&nbsp;</span><br><span class="CertTheme__tokenPunctuation">.</span><span class="CertTheme__tokenFunction">getorCreate</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenPunctuation">)</span><span>&nbsp;</span><br><span>sc </span><span class="CertTheme__tokenOperator">=</span><span> spark</span><span class="CertTheme__tokenPunctuation">.</span><span>sparkContext&nbsp;</span><br><span>df1 </span><span class="CertTheme__tokenOperator">=</span><span> spark</span><span class="CertTheme__tokenPunctuation">.</span><span>read</span><span class="CertTheme__tokenPunctuation">.</span><span class="CertTheme__tokenFunction">option</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenSelector">"delimiter"</span><span class="CertTheme__tokenPunctuation">,</span><span class="CertTheme__tokenSelector">"|"</span><span class="CertTheme__tokenPunctuation">)</span><span class="CertTheme__tokenPunctuation">.</span><span class="CertTheme__tokenFunction">csv</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenSelector">'input.csv'</span><span class="CertTheme__tokenPunctuation">)</span><span>&nbsp;</span><br><span>df2 </span><span class="CertTheme__tokenOperator">=</span><span> spark</span><span class="CertTheme__tokenPunctuation">.</span><span>read</span><span class="CertTheme__tokenPunctuation">.</span><span class="CertTheme__tokenFunction">option</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenSelector">"delimiter"</span><span class="CertTheme__tokenPunctuation">,</span><span class="CertTheme__tokenSelector">"|"</span><span class="CertTheme__tokenPunctuation">)</span><span class="CertTheme__tokenPunctuation">.</span><span class="CertTheme__tokenFunction">csv</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenSelector">"input2.csv"</span><span class="CertTheme__tokenPunctuation">,</span><span>header</span><span class="CertTheme__tokenOperator">=</span><span>True</span><span class="CertTheme__tokenPunctuation">)</span><span>&nbsp;</span><br><span>from&nbsp;PySpark</span><span class="CertTheme__tokenPunctuation">.</span><span>sql</span><span class="CertTheme__tokenPunctuation">.</span><span>functions </span><span class="CertTheme__tokenAttr">import</span><span> lit&nbsp;</span><br><span>df_add </span><span class="CertTheme__tokenOperator">=</span><span> df1</span><span class="CertTheme__tokenPunctuation">.</span><span class="CertTheme__tokenFunction">withColumn</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenSelector">"Gender"</span><span class="CertTheme__tokenPunctuation">,</span><span class="CertTheme__tokenFunction">lit</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenSelector">"null"</span><span class="CertTheme__tokenPunctuation">)</span><span class="CertTheme__tokenPunctuation">)</span><span>&nbsp;</span><br><span>df_add</span><span class="CertTheme__tokenPunctuation">.</span><span> </span><span class="CertTheme__tokenFunction">union</span><span class="CertTheme__tokenPunctuation">(</span><span>df2</span><span class="CertTheme__tokenPunctuation">)</span><span class="CertTheme__tokenPunctuation">.</span><span class="CertTheme__tokenFunction">show</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenPunctuation">)</span><span>&nbsp;</span></pre></div></div><p class="CertTheme__paragraph" dir="ltr" data-mode="standard"><b><strong class="CertTheme__textBold">For the Union-</strong></b></p><div class="jsx-189f2d4cbe17d436 code-block-wrapper mt-spacing10 mb-[16.8px] md:mb-[24px] bg-black p-4 rounded-[12px] relative text-[#708090] overflow-hidden"><div class="jsx-189f2d4cbe17d436 absolute top-4 right-4 z-10"><div class="jsx-189f2d4cbe17d436 px-spacing12 bg-white rounded-full h-10 flex items-center cursor-pointer"><i class="jsx-189f2d4cbe17d436 text-black text-sm icon-copy"></i></div></div><div class="jsx-189f2d4cbe17d436 overflow-x-auto pb-[12px] w-full"><pre id="code-block-3lc3t548f" class="jsx-189f2d4cbe17d436 whitespace-pre-wrap break-words w-full font-mono text-sm"><span>from PySpark</span><span class="CertTheme__tokenPunctuation">.</span><span>sql</span><span class="CertTheme__tokenPunctuation">.</span><span>types </span><span class="CertTheme__tokenAttr">import</span><span> </span><span class="CertTheme__tokenOperator">*</span><span>&nbsp;</span><br><span>schema </span><span class="CertTheme__tokenOperator">=</span><span> </span><span class="CertTheme__tokenFunction">StructType</span><span class="CertTheme__tokenPunctuation">(</span><span>&nbsp;</span><br><span>&nbsp; &nbsp;&nbsp;</span><span class="CertTheme__tokenPunctuation">[</span><span>&nbsp;</span><br><span>&nbsp; &nbsp; &nbsp; &nbsp;&nbsp;</span><span class="CertTheme__tokenFunction">StructField</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenSelector">"Name"</span><span class="CertTheme__tokenPunctuation">,</span><span> </span><span class="CertTheme__tokenFunction">StringType</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenPunctuation">)</span><span class="CertTheme__tokenPunctuation">,</span><span> True</span><span class="CertTheme__tokenPunctuation">)</span><span class="CertTheme__tokenPunctuation">,</span><span>&nbsp;</span><br><span>&nbsp; &nbsp; &nbsp; &nbsp;&nbsp;</span><span class="CertTheme__tokenFunction">StructField</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenSelector">"Age"</span><span class="CertTheme__tokenPunctuation">,</span><span> </span><span class="CertTheme__tokenFunction">StringType</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenPunctuation">)</span><span class="CertTheme__tokenPunctuation">,</span><span> True</span><span class="CertTheme__tokenPunctuation">)</span><span class="CertTheme__tokenPunctuation">,</span><span>&nbsp;</span><br><span>&nbsp; &nbsp; &nbsp; &nbsp;&nbsp;</span><span class="CertTheme__tokenFunction">StructField</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenSelector">"Gender"</span><span class="CertTheme__tokenPunctuation">,</span><span> </span><span class="CertTheme__tokenFunction">StringType</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenPunctuation">)</span><span class="CertTheme__tokenPunctuation">,</span><span>True</span><span class="CertTheme__tokenPunctuation">)</span><span class="CertTheme__tokenPunctuation">,</span><span>&nbsp;</span><br><span>&nbsp; &nbsp;&nbsp;</span><span class="CertTheme__tokenPunctuation">]</span><span>&nbsp;</span><br><span class="CertTheme__tokenPunctuation">)</span><span>&nbsp;</span><br><span>df3 </span><span class="CertTheme__tokenOperator">=</span><span> spark</span><span class="CertTheme__tokenPunctuation">.</span><span>read</span><span class="CertTheme__tokenPunctuation">.</span><span class="CertTheme__tokenFunction">option</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenSelector">"delimiter"</span><span class="CertTheme__tokenPunctuation">,</span><span class="CertTheme__tokenSelector">"|"</span><span class="CertTheme__tokenPunctuation">)</span><span class="CertTheme__tokenPunctuation">.</span><span class="CertTheme__tokenFunction">csv</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenSelector">"input.csv"</span><span class="CertTheme__tokenPunctuation">,</span><span> header </span><span class="CertTheme__tokenOperator">=</span><span> True</span><span class="CertTheme__tokenPunctuation">,</span><span> schema </span><span class="CertTheme__tokenOperator">=</span><span> schema</span><span class="CertTheme__tokenPunctuation">)</span><span>&nbsp;</span><br><span>df4 </span><span class="CertTheme__tokenOperator">=</span><span> spark</span><span class="CertTheme__tokenPunctuation">.</span><span>read</span><span class="CertTheme__tokenPunctuation">.</span><span class="CertTheme__tokenFunction">option</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenSelector">"delimiter"</span><span class="CertTheme__tokenPunctuation">,</span><span class="CertTheme__tokenSelector">"|"</span><span class="CertTheme__tokenPunctuation">)</span><span class="CertTheme__tokenPunctuation">.</span><span class="CertTheme__tokenFunction">csv</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenSelector">"input2.csv"</span><span class="CertTheme__tokenPunctuation">,</span><span> header </span><span class="CertTheme__tokenOperator">=</span><span> True</span><span class="CertTheme__tokenPunctuation">,</span><span> schema </span><span class="CertTheme__tokenOperator">=</span><span> schema</span><span class="CertTheme__tokenPunctuation">)</span><span>&nbsp;</span><br><span>df3</span><span class="CertTheme__tokenPunctuation">.</span><span class="CertTheme__tokenFunction">union</span><span class="CertTheme__tokenPunctuation">(</span><span>df4</span><span class="CertTheme__tokenPunctuation">)</span><span class="CertTheme__tokenPunctuation">.</span><span class="CertTheme__tokenFunction">show</span><span class="CertTheme__tokenPunctuation">(</span><span class="CertTheme__tokenPunctuation">)</span><span>&nbsp;</span></pre></div></div></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">21. How can PySpark be used to handle large-scale text data efficiently?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p><span data-contrast="auto" lang="EN-GB">PySpark&nbsp;is great for big text projects like analysing tons of reviews or processing huge documents. We use things like RDDs or&nbsp;DataFrames&nbsp;to break down the text and&nbsp;analyze&nbsp;it—think word counts or searching for specific phrases.&nbsp;It's&nbsp;like having a super-powered text editor that can instantly handle and analyse entire libraries. Using functions like</span><span data-contrast="auto" lang="EN-GB">&nbsp;flatMap()</span><span data-contrast="auto" lang="EN-GB">&nbsp;for tokenization and</span><span data-contrast="auto" lang="EN-GB">&nbsp;reduceByKey()</span><span data-contrast="auto" lang="EN-GB">&nbsp;for counting words ensures efficient processing over clusters.</span></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">22. Describe the role of window functions in PySpark and provide an example of their use.</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p><span data-contrast="auto" lang="EN-GB">Window functions in&nbsp;PySpark&nbsp;help us make sense of data&nbsp;that's&nbsp;ordered or grouped in some way. For example, if&nbsp;we’re&nbsp;looking at sales data, we could use a window function to calculate a running total of sales or average sales over a specific period directly within our dataset.&nbsp;It's&nbsp;a bit like having a spreadsheet that automatically updates those figures as we add new data. We can use the</span><span data-contrast="auto" lang="EN-GB">&nbsp;over()</span><span data-contrast="auto" lang="EN-GB">&nbsp;function to specify a window partitioned by one column, ordered by another, and then apply aggregation functions like</span><span data-contrast="auto" lang="EN-GB">&nbsp;sum()</span><span data-contrast="auto" lang="EN-GB">&nbsp;or&nbsp;</span><span data-contrast="auto" lang="EN-GB">avg()</span><span data-contrast="auto" lang="EN-GB">&nbsp;over this window.</span></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">23. What strategies would you recommend for optimising PySpark applications running on a cluster?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p><span data-contrast="auto" lang="EN-GB">Optimising&nbsp;PySpark&nbsp;applications involves several strategies like choosing the right data abstraction (RDD,&nbsp;DataFrame, or&nbsp;DataSet), tuning resource allocation (e.g., memory and cores), and optimising data partitioning. Additionally, minimising data shuffling and using broadcast variables and accumulators wisely can significantly improve performance.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559740&quot;:276}"></span><br></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">24. Explain the use of GraphFrames in PySpark. How do they enhance graph processing capabilities?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p>GraphFrames are an enhanced version of DataFrames specifically designed for graph processing in PySpark. They allow us to perform advanced graph operations like finding the shortest paths, calculating PageRank, or running breadth-first searches. Since GraphFrames are integrated with DataFrames, we can seamlessly create, query, and manage graphs while also working with regular tabular data. Imagine trying to figure out the shortest path in a network of roads or ranking websites by importance. GraphFrames build on DataFrames to let us handle these tasks efficiently in PySpark, combining graph algorithms with the ease of SQL-like operations. </p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">25. How does dynamic resource allocation benefit PySpark processing in a cloud environment?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p>Dynamic resource allocation allows PySpark to automatically adjust the number of executors based on workload. This is particularly beneficial in cloud environments where computing resources are elastic. By scaling up resources when demand spikes and scaling down when less compute power is needed, it optimises costs and ensures efficient processing. Dynamic resource allocation is like having an elastic band that stretches resources when needed and contracts when things are quiet. In cloud environments, where we pay for what we use, PySpark can automatically scale up to handle big jobs and scale down when the job's done, saving us money and improving processing efficiency. </p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">26. Discuss the implementation and benefits of using the MLlib library in PySpark for machine learning tasks.</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p><span data-contrast="auto" lang="EN-GB">MLlib&nbsp;in&nbsp;PySpark&nbsp;is like a treasure chest of machine learning tools.&nbsp;It’s&nbsp;built right into&nbsp;PySpark, so it lets us run algorithms like classification, regression, clustering, and collaborative filtering, as well as feature transformation.&nbsp;MLlib&nbsp;is&nbsp;PySpark's&nbsp;machine learning library that makes practical machine learning scalable and easy. Using&nbsp;MLlib&nbsp;in&nbsp;PySpark&nbsp;allows data scientists to&nbsp;leverage&nbsp;Spark’s distributed computing power to run algorithms faster across clusters.&nbsp;It's&nbsp;perfect for when we need to uncover insights from large datasets quickly.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559740&quot;:276}"></span><br></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">27. What are the limitations of PySpark compared to other big data technologies?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p>While PySpark is powerful, it has limitations such as higher memory consumption for certain operations and less efficiency for complex iterative algorithms that do not map well to its execution model. Additionally, its Python API can run slower than the Scala API due to the overhead of Py4J that translates Python API calls to JVM operations. PySpark isn’t perfect—it can be a bit of a memory hog and sometimes slower, especially if we’re using Python instead of Scala. It's also not the best fit for very complex iterative algorithms where we keep looping over the same data. But for many big data tasks, it's still a solid choice. </p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">28. How would you approach ensuring data quality and consistency in a PySpark data pipeline?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p><span data-contrast="auto" lang="EN-GB">Keeping our data clean and consistent in PySpark involves setting up checks right from the start. I would use built-in tools to filter out duplicates, correct errors, and make sure everything looks right. Utilising DataFrame API’s built-in functions like&nbsp;</span><span data-contrast="auto" lang="EN-GB">dropDuplicates()</span><span data-contrast="auto" lang="EN-GB">,&nbsp;</span><span data-contrast="auto" lang="EN-GB">filter()</span><span data-contrast="auto" lang="EN-GB">, and</span><span data-contrast="auto" lang="EN-GB">&nbsp;where()</span><span data-contrast="auto" lang="EN-GB">&nbsp;help maintain data consistency. Additionally, writing unit tests and using data validation frameworks can further ensure the quality and consistency of the data processed. Think of it as proofreading our data before it goes out into the world.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559740&quot;:276}"></span><br></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">29. What is speculative execution in PySpark and how does it improve performance?</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p><span data-contrast="auto" lang="EN-GB">Speculative execution is like having a backup plan for slow tasks in&nbsp;PySpark. Speculative execution in&nbsp;PySpark&nbsp;involves launching duplicate tasks for those that are running slower than expected. If certain tasks are straggling due to issues like slow nodes,&nbsp;PySpark&nbsp;will launch duplicate tasks on other nodes. Whichever task finishes first is used, and this can significantly improve performance by reducing delays caused by slow nodes.</span><span data-ccp-props="{&quot;201341983&quot;:0,&quot;335559740&quot;:276}"></span><br></p></div></div></div></div><div class="rounded-xl mb-spacing24 last:mb-0 outline duration-300 transition ease-in-out outline-1 outline-neutral-200 hover:outline-neutral-400 hover:shadow-neutralShadow hidden"><div class="cursor-pointer items-center justify-between p-4 transition-all duration-500 undefined bg-white p-spacing16 pl-spacing24 flex gap-spacing8 rounded-xl"><div class="flex text-sm font-semibold items-center overflow-x-auto"><h3 class="text-neutral-800 font-bold text-sm leading-5.5 -indent-0 pl-5 overflow-hidden line-clamp-2">30. Explain the concept of DataFrame StatFunctions in PySpark and provide an example of how you might use them.</h3></div><div class="md:w-5 md:h-5 w-6 h-6 ml-spacing8 flex items-center transition-all duration-300"><i class="icon-chevron-up-filled inline-block transition-transform duration-300 text-xl rotate-180 text-primary-main"></i></div></div><div class="overflow-hidden p-0 transition-all duration-500 ease-in-out rounded-b-xl" style="max-height:0px"><div><div class="p-spacing24 bg-white border-t border-neutral-200 faq-editor-content last:rounded-b-xl"><p class="CertTheme__paragraph" dir="ltr" data-mode="standard"><span>StatFunctions in PySpark are part of the DataFrame API and provide statistical methods to quickly summarise data. For example, wecan use df.stat.corr('column1', 'column2') to calculate the correlation between two columns. It’s handy for exploratory data analysis, like when we’re trying to find relationships between variables or just get a quick overview of our data’s distribution and trends. It’s like having a fast, built-in data scientist to help us understand large datasets more intuitively.</span></p></div></div></div></div><div class="relative"><div class="mt-spacing20 z-10 relative text-center flex justify-center mt-0"><button class="flex items-center gap-x-spacing8 py-spacing4"><span class="text-sm underline font-semibold text-mono-black">View all questions</span><i class="icon-chevron-down-double text-xl leading-5 text-neutral-800"></i></button></div><div class="absolute bottom-0 block h-32 w-full bg-gradient-to-t from-subdued/100 from-30% md:from-40%"></div></div></div></div></div></div></div></div></div></div></div></section></div></div><div class="sticky top-0 self-start max-h-screen overflow-y-auto w-full"><div class="w-full overflow-hidden pt-spacing32"><div class="px-spacing16 py-spacing20 rounded-xl border border-neutral-200 bg-white"><div class=""><h5 class="text-lg leading-6 text-mono-black font-bold">Want to Know More?</h5></div><form novalidate="" class="pt-spacing20 w-full"><div class="mb-spacing12"><div class=" relative  w-full  group h-11 flex direction-row justify-between rounded-lg border-none
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class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Australia +61</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.337h512v341.326H0z"></path><path fill="#D80027" d="M0 85.337h512V256H0z"></path><g fill="white"><path d="M83.478 170.666c0-24.865 17.476-45.637 40.812-50.734a52.059 52.059 0 00-11.13-1.208c-28.688 0-51.942 23.254-51.942 51.941s23.255 51.942 51.942 51.942c3.822 0 7.543-.425 11.13-1.208-23.336-5.095-40.812-25.867-40.812-50.733zM150.261 122.435l3.684 11.337h11.921l-9.645 7.007 3.684 11.337-9.644-7.006-9.645 7.006 3.685-11.337-9.645-7.007h11.921z"></path><path d="M121.344 144.696l3.683 11.337h11.921l-9.645 7.007 3.684 11.337-9.643-7.006-9.645 7.006 3.685-11.337-9.645-7.007h11.921zM179.178 144.696l3.684 11.337h11.921l-9.645 7.007 3.684 11.337-9.644-7.006-9.644 7.006 3.685-11.337-9.645-7.007h11.921zM168.047 178.087l3.684 11.337h11.921l-9.644 7.007 3.684 11.337-9.645-7.006-9.643 7.006 3.684-11.337-9.644-7.007h11.92zM132.474 178.087l3.683 11.337h11.921l-9.644 7.007 3.684 11.337-9.644-7.006-9.644 7.006 3.684-11.337-9.644-7.007h11.92z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Singapore +65</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#0052B4" d="M0 85.334h512v341.337H0z"></path><g fill="#D80027"><path d="M425.301 233.745l3.388 10.428h10.963l-8.87 6.444 3.388 10.427-8.869-6.444-8.871 6.444 3.388-10.427-8.87-6.444h10.963zM386.107 308.817l5.083 15.642h16.445l-13.305 9.667 5.082 15.64-13.305-9.667-13.305 9.667 5.083-15.64-13.305-9.667h16.445zM387.588 185.971l4.236 13.036h13.704l-11.088 8.054 4.235 13.034-11.087-8.056-11.088 8.056 4.235-13.034-11.087-8.054h13.704zM349.876 233.291l5.082 15.641h16.446l-13.306 9.666 5.084 15.641-13.306-9.666-13.305 9.666 5.082-15.641-13.305-9.666h16.445z"></path></g><path fill="white" d="M256.003 85.329v30.564l-45.178 25.088h45.178v59.359H196.89l59.113 32.846v22.806h-26.69l-73.484-40.826v40.826h-55.652v-48.573l-87.429 48.573H.003v-30.553l45.168-25.099H.003v-59.359h59.103L.003 108.147V85.329h26.68l73.494 40.838V85.329h55.652v48.573l87.43-48.573z"></path><path fill="#D80027" d="M144 85.33h-32v69.334H0v32h112v69.334h32v-69.334h112v-32H144z"></path><path fill="#0052B4" d="M155.826 200.344L256 255.998v-15.739l-71.847-39.915z"></path><path fill="white" d="M155.826 200.344L256 255.998v-15.739l-71.847-39.915z"></path><g fill="#D80027"><path d="M155.826 200.344L256 255.998v-15.739l-71.847-39.915zM71.846 200.344L0 240.259v15.739l100.174-55.654z"></path></g><path fill="#0052B4" d="M100.174 140.983L0 85.33v15.738l71.847 39.915z"></path><path fill="white" d="M100.174 140.983L0 85.33v15.738l71.847 39.915z"></path><g fill="#D80027"><path d="M100.174 140.983L0 85.33v15.738l71.847 39.915zM184.154 140.983L256 101.068V85.33l-100.174 55.653z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">New Zealand +64</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#D80027" d="M0 85.331h512v341.337H0z"></path><path d="M0 85.331h512v113.775H0z"></path><path fill="#FFDA44" d="M0 312.882h512v113.775H0z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Germany +49</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 513 342"><path fill="white" d="M0 0h513v342H0z"></path><path fill="#6DA544" d="M0 0h513v114H0z"></path><path d="M0 228h513v114H0z"></path><path fill="#dd0d12" d="M0 0h171v342H0z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">United Arab Emirates +971</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 513 342"><path fill="#D80027" d="M0 0h513v342H0z"></path><g fill="white"><path d="M274.2 119.8c-5.1 21.1-14.1 17.1-18.5 35.5-26.1-6.3-42.1-32.5-35.9-58.6 6.3-26.1 32.5-42.1 58.5-35.9-8.7 36.9.5 40.1-4.1 59zM206.6 135.4c18.5 11.3 11.9 18.7 28 28.6-14 22.9-43.9 30-66.8 16s-30-43.9-16-66.8c32.3 19.8 38.2 12.1 54.8 22.2zM200.6 204.6c16.5-14.1 21.4-5.5 35.8-17.8 17.4 20.4 15 51-5.4 68.4-20.4 17.4-51 15-68.4-5.4 28.7-24.6 23.2-32.6 38-45.2zM264.5 231.7c-8.3-20.1 1.4-22.1-5.9-39.6 24.8-10.3 53.2 1.5 63.4 26.3 10.3 24.8-1.5 53.2-26.3 63.4-14.5-35-23.8-32.2-31.2-50.1zM310 179.3c-21.6 1.7-20.6-8.1-39.5-6.6-2.1-26.7 17.9-50.1 44.6-52.2 26.7-2.1 50.1 17.9 52.2 44.6-37.7 2.9-37.9 12.7-57.3 14.2z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Hong Kong +852</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.331h512v341.326H0z"></path><path fill="#6DA544" d="M0 85.331h170.663v341.337H0z"></path><path fill="#FF9811" d="M341.337 85.331H512v341.337H341.337z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Ireland +353</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 513 342"><path fill="#DB3E00" d="M0 0h513v342H0z"></path><path fill="#479900" d="M331 0h182v342H331z"></path><path d="M0 0h181.8v342H0z"></path><path fill="white" d="M256 126.7c-19.4 0-35.2 15.8-35.2 35.2v52.8h70.4v-52.8c0-19.5-15.8-35.2-35.2-35.2z"></path><path fill="white" d="M256 84.3c-47.7 0-86.4 38.7-86.4 86.4S208.3 257 256 257s86.4-38.7 86.4-86.4-38.7-86.3-86.4-86.3zm0 157.7c-39.4 0-71.4-32-71.4-71.4 0-39.4 32-71.4 71.4-71.4 39.4 0 71.4 32 71.4 71.4 0 39.5-32 71.4-71.4 71.4z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Afghanistan +93</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 513 342"><path fill="#0052B4" d="M0 0h513v342H0z"></path><path fill="#FFDA44" d="M513 210.9H202.2V342h-79.8V210.9H0V131.1h122.4V0h79.8v131.1H513v61.2z"></path><path fill="#D80027" d="M513 149.7v42.6H183.7V342H141V192.3H0v-42.6h141V0h42.7v149.7z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Aland Islands +358</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 90 60"><path fill="#ED2024" d="M0 0h90v60H0z"></path><path fill="#212121" d="M32.5 12.2v16l7.1 2.5-5 4.9 2.4 3 5.3-5.5 1.2 2.3-3 4.9 3.6 5.6-1.8 2.6 2.8 3.6 2.7-3.7-1.5-2.6 3-5.8-2.7-4.6 1.2-2.3 5.2 5.5 2.5-2.9-5.2-5.1 7.2-2.6V12.2l-5.2 1.9-.1 3.8-3.3.3v-2.6l1.7-2.3 5.6-2.2-2.3-.4 1.4-1.2.9.4-.8-1.4L54 9l-1-1.1L47.5 9l1.4 1.1-3.8 4.9-3.8-4.8 1.3-1.1-5-1.2L36.2 9l-1.5-.4-.8 1.4.9-.6 1.6 1.1-2.3.5 5.5 2 1.6 2.3v2.9l-3.3-.3v-3.6z"></path><g fill="#212121"><path d="M26.2 25h6.4v2.5h-6.4zM26.2 20.9h6.4v2.7h-6.4zM26.2 16.7h6.4v2.6h-6.4zM26.2 12.7h6.4v2.5h-6.4z"></path></g><g fill="#212121"><path d="M57.4 25h6.4v2.5h-6.4zM57.4 20.9h6.4v2.7h-6.4zM57.4 16.7h6.4v2.6h-6.4zM57.4 12.7h6.4v2.5h-6.4z"></path></g><path fill="#212121" d="M53.4 36.1h6.4V38h-6.4zM30.2 36.1h6.4V38h-6.4z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Albania +355</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 341.3"><path fill="#41662E" d="M0 0h512v341.3H0z"></path><path fill="white" d="M256 0h256v341.3H256z"></path><g fill="#D80027"><path d="M341.5 105.3l-29.4 40.4-47.5-15.4 29.4 40.4-29.4 40.4 47.5-15.4 29.4 40.4v-50l47.5-15.5-47.5-15.4z"></path><path d="M309.9 276.7c-58.5 0-106-47.5-106-106s47.5-106 106-106c18.3 0 35.4 4.6 50.4 12.7-23.5-23-55.7-37.2-91.2-37.2-72 0-130.4 58.4-130.4 130.4S197.1 301 269.1 301c35.5 0 67.7-14.2 91.2-37.2-14.9 8.2-32.1 12.9-50.4 12.9z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Algeria +213</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 513 342"><path fill="#0052B4" d="M0 0h513v342H0z"></path><path fill="#D80027" d="M513 33L95.3 171 513 310.76v30.57L0 171 513 0z"></path><path fill="white" d="M513 287.18v24.58L81.72 171 513 30v24.16"></path><path fill="#A2001D" d="M476.98 140.21l-21.89 10.68-3.18-15.32 31.19-29.77s-9.42-40.65-13.75-44.98l-112.32 55.82-6.84 36.76-31.9 28.59-.4 34.2 34.29-22.76 67.23-2.66-1.51 38.11h22.23l11.9-44.64 31.55-24.61-6.6-19.42z"></path><path fill="#EFC100" stroke="#231F20" stroke-miterlimit="10" d="M317.89 238.41l-22.24-11.11 22.24-11.11h144.46v22.22z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">AmericanSamoa +1684</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 513 342"><path fill="#FFDA44" d="M0 0h513v342H0z"></path><path fill="#0052B4" d="M0 0h171v342H0z"></path><path fill="#D80027" d="M342 0h171v342H342zM198.92 113.58H256v64.8h-57.08zM309.16 228.68L256 243.18v-64.8h57.08z"></path><path fill="#BC8B00" d="M182.24 95.92v92.2c0 34.32 27.26 54.17 48.63 64.46-.8 1.37 25.13 8.26 25.13 8.26s25.93-6.9 25.13-8.26c21.38-10.29 48.63-30.14 48.63-64.46v-92.2H182.24zm129.86 92.2c0 16.88-10 29.43-32.76 43.9-8.62 5.48-17.54 9.03-23.34 11.01-5.8-1.98-14.72-5.53-23.34-11.01-22.76-14.47-32.76-28.02-32.76-43.9v-74.54h112.2v74.54z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Andorra +376</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 513 342"><path d="M0 171h513v171H0z"></path><path fill="#D80027" d="M0 0h513v171H0z"></path><g fill="#FFDA44"><path d="M197.01 139.81c-9.32 12.37-9 27.81 3.37 37.12 0 0 162.62 122.13 164.64 123.93 2.02 1.8 6.3 2.38 11-3.27 4.46-5.36 3.31-9.78 1.04-11.63S197.01 139.81 197.01 139.81zM264.42 79.12l11.72 24.03 26.45 3.96-19.23 18.58 4.4 26.38-23.61-12.55-23.73 12.33 4.64-26.33L226 106.77l26.47-3.73z"></path><path d="M268.67 39.2l-3.2 22.04c51.81 3.9 92.64 47.18 92.64 99.99 0 55.38-44.9 100.28-100.28 100.28-40.82 0-75.94-24.39-91.59-59.4l-18.4 13.11c19.96 40.59 61.71 68.52 110 68.52 67.66 0 122.51-54.85 122.51-122.51-.01-64.01-49.1-116.54-111.68-122.03z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Angola +244</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 513 342"><path fill="#0052B4" d="M0 0h513v342H0z"></path><path fill="white" d="M454.8 265.38c7.94-10.93 13.24-24.27 13.24-40.42V104.89a59.754 59.754 0 01-36.02 12.01c-19.64 0-37.07-9.43-48.03-24.01-10.95 14.58-28.39 24.01-48.03 24.01-13.52 0-25.99-4.47-36.02-12v120.06c0 16.16 5.3 29.5 13.24 40.42H454.8z"></path><path fill="#8DCCFF" d="M310.23 260.98C332.65 296.96 384 309 384 309s51.35-12.04 73.77-48.02H310.23z"></path><path fill="#D87B00" d="M396.66 172.21c.32 1.42 8.72 10.17 17.56 20.15 1.39 1.57-8.74 12.63-6.91 12.59 4.75-.12 19.27-17.26 19.34 6.65.05 15.94-30 27.51-30 27.51h17.47l.65 14.96s4.97-13.34 7.59-16.57c8.1-9.97 20.18-30.07 34.59-27.1 14.41 2.97-13.66-13.92-13.66-13.92s-5.2-15.19-16.63-16.97c-10.06-1.57-14.29-2.51-26.64-7.3-1.68-.65-3.88-2.32-3.36 0z"></path><path fill="#D87B00" d="M359.69 198.69c1.07-.99 4.46-12.63 8.69-25.28.67-1.99 15.31 1.27 14.35-.3-2.47-4.06-24.58-8.08-3.9-20.08 13.79-8 38.82 12.27 38.82 12.27l-8.72-15.14 12.64-8.03s-14.05 2.35-18.14 1.69c-12.68-2.04-36.13-2.48-40.75-16.45-4.62-13.97-5.25 18.79-5.25 18.79s-10.56 12.08-6.4 22.88c3.66 9.5 4.96 13.64 6.97 26.73.29 1.79-.06 4.53 1.69 2.92z"></path><path fill="#D87B00" d="M395.67 219.87c-1.39-.43-13.16 2.49-26.22 5.18-2.06.42-6.59-13.88-7.47-12.26-2.27 4.17 5.36 25.31-15.41 13.45-13.84-7.91-8.89-39.73-8.89-39.73l-8.71 15.14-13.29-6.9s9.09 10.96 10.57 14.84c4.6 11.99 16 32.49 6.24 43.49-9.76 11.01 18.88-4.9 18.88-4.9s15.76 3.07 23-5.96c6.38-7.94 9.3-11.14 19.61-19.45 1.43-1.12 3.97-2.19 1.69-2.9z"></path><path fill="white" d="M256.5 0h-23.1L160 48.9V0H96v48.9L22.6 0H0v22.7l46.1 30.7H0v64h46.1L0 148.1V171h22.6L96 121.8V171h64v-49.2l73.4 49.2h23.1v-22.9l-46.6-30.7h46.6v-64h-46.6l46.6-30.7z"></path><path fill="#D80027" d="M144 0h-32v69.4H0v32h112V171h32v-69.6h112.5v-32H144z"></path><path fill="#D80027" d="M0 171v-11.3l62.5-42.3h22.6L7.3 171zM7.3.1l77.8 53.2H62.5L0 11.1V.1zM256.5.1v11l-63 42.3h-22.6L248.7.1zM248.7 171l-77.8-53.6h22.6l63 42.3V171z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Anguilla +1264</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 744 496"><path fill="#3A7DCE" d="M0 0h744v496H0V0z"></path><path fill="white" d="M120 125l90 63 54-14 23-81 61-36 92 14 105 55 6 90 34 12v92l-65 115-78 24-72-17 18-30-8-32-10 9-162-25-49-85 20-46-49-62z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Antarctica +672</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 513 342"><path d="M0 0h513v342H0z"></path><path fill="#186DD2" d="M88.8 136.5c-2.2 12.9-3.4 26.2-3.4 39.8 0 13.6 1.2 27 3.4 39.8L256 228.3l167.2-12.1c2.2-12.9 3.4-26.2 3.4-39.8s-1.2-27-3.4-39.8"></path><path fill="white" d="M423.2 219H88.8c15.8 69.8 84.7 122.3 167.2 122.3S407.4 288.8 423.2 219z"></path><path fill="#FFDA44" d="M365.9 136.5H146.1l44.9-21.1-23.9-43.5 48.8 9.4L222 32l34 36.2L290 32l6.1 49.3 48.8-9.4-23.9 43.5z"></path><g fill="#C32500"><path d="M256.5 342L0 0v342z"></path><path d="M513 342V0L256 342z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Antigua and Barbuda +1268</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 513 342"><path fill="white" d="M0 0h512v342H0z"></path><path fill="#338AF3" d="M0 0h512v114H0zM0 228h512v114H0z"></path><circle fill="#FFDA44" stroke="#d6ab00" stroke-width="5" cx="256.5" cy="171" r="40"></circle></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Argentina +54</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 513 342"><path fill="#0052B4" d="M0 0h513v342H0z"></path><path fill="#D80027" d="M0 0h513v114H0z"></path><path fill="#FF9811" d="M0 228h513v114H0z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Armenia +374</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 363 242"><path fill="#338AF3" d="M0 0h363v242H0z"></path><path fill="white" d="M57 96.9L14.7 78.2 57 59.6l18.6-42.2 18.6 42.2 42.3 18.6-42.3 18.7-18.6 42.2z"></path><path fill="#D80027" d="M75.6 40.6l11.5 26.1 26.1 11.5-26.1 11.5-11.5 26.1-11.5-26.1L38 78.2l26.1-11.5z"></path><g fill="#FFDA44"><path d="M0 152.2h363v15.7H0zM0 183.6h363v15.7H0z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Aruba +297</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 513 342"><path fill="#0052B4" d="M0 0h513v342H0z"></path><path fill="white" d="M440.1 181.1c-.1 39.2-6.4 81.4-57.4 101.5-51.1-20.1-57.3-62.3-57.4-101.5h114.8z"></path><path fill="#29DBFF" d="M439.6 197.7c-2.8 34.9-12.4 67.4-57 85-44.4-17.6-54.5-51.2-56.9-84.9"></path><path fill="white" d="M437.8 214.1c-3.2 24.3-16.7 53.5-55.1 68.6-38.4-15.1-50.5-42.5-55.1-68.4"></path><path fill="#29DBFF" d="M434.2 230.3c-5.7 17.7-19.3 39.4-51.3 52.8-32-12.6-45.2-33.8-51.4-53"></path><path fill="white" d="M426.7 246.9c-6.5 11.3-17.7 25.4-44 35.9-27.5-11.5-37.4-25.3-44-36.1"></path><path fill="#29DBFF" d="M412.4 265.1c-8.1 7.2-12 11.2-29.6 17.9-20.1-7.9-22.6-11.6-29.2-17.5"></path><path fill="#5CC85C" d="M383.3 231.6c-.2-.2-27.9 35.7-27.9 35.7-1.8-1.3-10-9.5-13.3-15l41.3-50.1 40.2 49.7c-3.9 6.5-11.4 13.6-13.2 15M382.6 85.3l-26.5 45h53z"></path><ellipse transform="rotate(-82.3 291.431 225.686)" fill="#F7A226" cx="291.4" cy="225.7" rx="48.7" ry="15.7"></ellipse><ellipse transform="rotate(-68.099 303.087 164.67)" fill="#DDC7AB" cx="303.1" cy="164.7" rx="11.7" ry="7.2"></ellipse><ellipse transform="rotate(-81.738 291.697 271.697)" fill="#DDC7AB" cx="291.7" cy="271.7" rx="11.4" ry="3.3"></ellipse><ellipse transform="matrix(.9986 -.05353 .05353 .9986 -13.992 16.424)" fill="#DDC7AB" cx="299.6" cy="269.4" rx="3.3" ry="11"></ellipse><ellipse transform="rotate(-21.518 314.54 201.06)" fill="#DDC7AB" cx="314.5" cy="201.1" rx="4.1" ry="13.7"></ellipse><ellipse transform="rotate(-21.518 317.511 178.077)" fill="#DDC7AB" cx="317.5" cy="178.1" rx="13.7" ry="4.1"></ellipse><ellipse transform="rotate(-7.7 473.781 225.857)" fill="#F7A226" cx="473.6" cy="225.9" rx="15.7" ry="48.7"></ellipse><ellipse transform="rotate(-21.901 462.057 164.866)" fill="#DDC7AB" cx="462" cy="164.9" rx="7.2" ry="11.7"></ellipse><ellipse transform="rotate(-8.27 473.27 271.908)" fill="#DDC7AB" cx="473.4" cy="271.9" rx="3.3" ry="11.4"></ellipse><ellipse transform="matrix(.05353 -.9986 .9986 .05353 171.34 719.998)" fill="#DDC7AB" cx="465.5" cy="269.6" rx="11" ry="3.3"></ellipse><ellipse transform="rotate(-68.482 450.552 201.247)" fill="#DDC7AB" cx="450.6" cy="201.2" rx="13.7" ry="4.1"></ellipse><ellipse transform="rotate(-68.482 447.58 178.265)" fill="#DDC7AB" cx="447.6" cy="178.3" rx="4.1" ry="13.7"></ellipse><path fill="#B0C6CC" d="M373.3 130.3L356.1 155l17.8 26.1H396l4.7-25.4-5.4-25.4z"></path><path fill="white" d="M256 0v117.4h-46.1l46.1 30.7v22.6h-22.6L160 121.8v48.9H96v-48.9l-73.4 48.9H0v-22.6l46.1-30.7H0v-64h46.1L0 22.7V0h22.6L96 48.9V0h64v48.9L233.4 0z"></path><path fill="#D80027" d="M144 0h-32v69.4H0v32h112v69.3h32v-69.3h112v-32H144z"></path><path fill="#2E52B2" d="M256 22.7v30.7h-46.1z"></path><g><path fill="#D80027" d="M0 170.7v-11l62.5-42.3h22.6L7.3 170.7z"></path></g><path fill="#D80027" d="M7.3.1l77.8 53.2H62.5L0 11.1V.1zM256 .1v11l-62.5 42.3h-22.6L248.7.1zM248.7 170.7l-77.8-53.3h22.6l62.5 42.3v11z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Ascension Island +247</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 513 342"><path fill="white" d="M0 114h513v114H0z"></path><path fill="#D80027" d="M0 0h513v114H0zM0 228h513v114H0z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Austria +43</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 513 342"><path fill="#D80027" d="M0 0h513v342H0z"></path><path fill="#338AF3" d="M0 0h513v114H0z"></path><path fill="#6DA544" d="M0 228h513v114H0z"></path><g fill="white"><path d="M265.6 212.6c-23 0-41.6-18.6-41.6-41.6s18.6-41.6 41.6-41.6c7.2 0 13.9 1.8 19.8 5-9.2-9-21.9-14.6-35.8-14.6-28.3 0-51.2 22.9-51.2 51.2s22.9 51.2 51.2 51.2c13.9 0 26.6-5.6 35.8-14.6-5.9 3.2-12.6 5-19.8 5z"></path><path d="M297.6 142.2l5.5 15.5 14.9-7.1-7.1 14.9 15.5 5.5-15.5 5.5 7.1 14.9-14.9-7.1-5.5 15.5-5.5-15.5-14.9 7.1 7.1-14.9-15.5-5.5 15.5-5.5-7.1-14.9 14.9 7.1z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Azerbaijan +994</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#FFDA44" d="M0 85.337h512v341.326H0z"></path><g fill="#338AF3"><path d="M0 85.337h512v113.775H0zM0 312.888h512v113.775H0z"></path></g><path d="M256 256.006L0 426.668V85.331z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Bahamas +1242</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#D80027" d="M2.216 86.076H512v339.848H2.216z"></path><path fill="white" d="M209.455 154.969l-50.236 25.267 50.236 25.257-50.236 25.267 50.236 25.257-50.236 25.266 50.236 25.257-50.236 25.268 50.236 25.257-50.236 25.267 50.236 25.268-36.45 18.33H0V86.07h172.939l36.516 18.364-50.236 25.267z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Bahrain +973</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#496E2D" d="M0 85.331h512v341.337H0z"></path><circle fill="#F40B32" cx="218.902" cy="255.994" r="115"></circle></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Bangladesh +880</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 341.33"><path fill="#FFDA44" d="M0 0h512v341.34H0z"></path><g fill="#0052B4"><path d="M0 0h170.66v341.34H0zM341.34 0H512v341.34H341.34z"></path></g><path d="M325.74 101.02l-31.97 12.4c-.68 1.35-5.79 7.54-8.18 53.06h-17.05v-60.42L256 78.68l-12.54 27v60.8H226.4c-2.39-45.53-7.8-52.48-8.47-53.84l-31.68-11.63c.15.31 15.4 31.34 15.4 78.01v12.54h41.81v71.07h25.08v-71.07h41.81v-12.54c0-24.13 4.17-44.02 7.68-56.46 3.82-13.57 7.7-21.49 7.74-21.57l-.03.03z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Barbados +1246</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 341.3"><path fill="#75AF2B" d="M.6.2H512v341H.6z"></path><path fill="#D32424" d="M0 230h512V.2H0"></path><path fill="white" d="M100.1 230V.2H0v340.9h511.4-411.3z"></path><path fill="#D32424" d="M51.6 218l-38-47.7 38-46.9 38 46.9zM51.6 113.4l-38-47.7 38-46.9 38 46.9zM51.6 322.6l-38-47.7 38-46.9 38 46.9z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Belarus +375</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#FFDA44" d="M0 85.331h512v341.326H0z"></path><path d="M0 85.331h170.663v341.337H0z"></path><path fill="#D80027" d="M341.337 85.331H512v341.337H341.337z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Belgium +32</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 341.3"><path fill="#0052B4" d="M0 0h512v341.3H0z"></path><circle fill="white" cx="260.9" cy="170.9" r="118.9"></circle><circle fill="none" stroke="#6DA544" stroke-width="18" stroke-miterlimit="10" cx="261.9" cy="173.1" r="94.5"></circle><g stroke="black"><path fill="#0052B4" d="M261.9 151.5l-50.6 23.4v20c0 11.8 6.1 22.8 16.2 28.9L262 239l34.5-15.2c10-6.2 16.2-17.1 16.2-28.9v-20l-50.8-23.4z"></path><path fill="#FFDA44" d="M211.3 128.1h101.3v46.7H211.3z"></path></g><g fill="#BC0029"><path d="M0 0h512v35H0zM0 306h512v35H0z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Belize +501</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#6DA544" d="M0 85.337h512v341.326H0z"></path><path fill="#FFDA44" d="M196.641 85.337H512V256H196.641z"></path><path fill="#D80027" d="M196.641 256H512v170.663H196.641z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Benin +229</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 341.33"><path fill="#D80027" d="M0 0h512v341.34H0z"></path><path fill="#0052B4" d="M0 .1h256v170.6H0z"></path><path fill="white" d="M256 0h-22.6L160 48.9V0H96v48.9L22.6 0H0v22.7l46.1 30.7H0v64h46.1L0 148.1v22.6h22.6L96 121.8v48.9h64v-48.9l73.4 48.9H256v-22.6l-46.1-30.7H256v-64h-46.1L256 22.7z"></path><path fill="#D80027" d="M144 0h-32v69.4H0v32h112v69.3h32v-69.3h112v-32H144z"></path><path fill="#D80027" d="M0 170.7v-11l62.5-42.3h22.6L7.3 170.7zM7.3.1l77.8 53.2H62.5L0 11.1V.1zM256 .1v11l-62.5 42.3h-22.6L248.7.1zM248.7 170.7l-77.8-53.3h22.6l62.5 42.3v11z"></path><g transform="translate(13 5)"><path fill="white" d="M303.9 94.94v99.69c0 59.81 79.75 99.69 79.75 99.69s79.75-39.88 79.75-99.69V94.94H303.9z"></path><path fill="#2F8F22" d="M436.37 254.44H330.93c23.13 25.08 52.72 39.88 52.72 39.88s29.59-14.8 52.72-39.88z"></path><circle fill="#65B5D2" cx="383.65" cy="214.56" r="39.88"></circle><circle fill="#D80027" cx="343.77" cy="194.63" r="19.94"></circle><circle fill="#D80027" cx="423.52" cy="194.63" r="19.94"></circle><circle fill="#D80027" cx="383.65" cy="154.75" r="19.94"></circle></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Bermuda +1441</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 341.3"><path fill="#FF7415" d="M0 0h512v341.3H0z"></path><path fill="#FFDA44" d="M512 0H0v341.3"></path><path fill="none" stroke="white" stroke-width="42" stroke-miterlimit="10" d="M128.7 255.5s35 54 67.3 32.4c56.9-37.9-68.9-108.6-2.9-152.6 58.3-38.8 76.6 103.5 137.6 62.8 59-39.3-64.7-111.4-9.2-148.4 33.4-22.2 67.1 32.6 67.1 32.6"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Bhutan +975</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#FFDA44" d="M0 85.337h512v341.326H0z"></path><path fill="#D80027" d="M0 85.337h512v113.775H0z"></path><path fill="#6DA544" d="M0 312.888h512v113.775H0z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Bolivia +591</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#0052B4" d="M0 85.334h512v341.337H0z"></path><path fill="#FFDA44" d="M99.905 85.329h341.333v341.334"></path><g fill="white"><path d="M36.561 100.645l14.843-10.807 14.867 10.794-4.979-15.302H41.525z"></path><path d="M88.332 103.632L82.649 86.16l-5.672 17.472-18.365.012 14.867 10.796-5.661 17.461 14.843-10.806 14.866 10.795-5.684-17.474 14.854-10.795z"></path><path d="M119.59 134.89l-5.684-17.474-5.673 17.474-18.365.011 14.867 10.795-5.661 17.462 14.844-10.807 14.866 10.796-5.685-17.474 14.856-10.794z"></path><path d="M150.846 166.146l-5.683-17.473-5.673 17.473-18.364.011 14.866 10.796-5.661 17.461 14.843-10.806 14.866 10.795-5.683-17.474 14.855-10.794z"></path><path d="M182.103 197.403l-5.683-17.474-5.672 17.474-18.366.011 14.866 10.795-5.66 17.462 14.843-10.807 14.866 10.796-5.684-17.473 14.855-10.795z"></path><path d="M213.359 228.659l-5.683-17.472-5.672 17.472-18.365.012 14.866 10.795-5.66 17.462 14.842-10.806 14.866 10.794-5.683-17.473 14.855-10.795z"></path><path d="M244.616 259.916l-5.683-17.473-5.672 17.473-18.366.012 14.867 10.795-5.661 17.462 14.844-10.807 14.866 10.794-5.685-17.472 14.855-10.794z"></path><path d="M275.872 291.173L270.19 273.7l-5.673 17.473-18.365.011 14.867 10.796-5.661 17.461 14.843-10.806 14.866 10.795-5.683-17.474 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flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.337h512v341.326H0z"></path><g fill="#338AF3"><path d="M0 322.783h512v103.88H0zM0 85.337h512v104.515H0z"></path></g><path d="M0 210.877h512v89.656H0z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Botswana +267</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 341.3"><path fill="#6DA544" d="M0 0h512v341.3H0z"></path><path fill="#FFDA44" d="M256 19.3l205.4 151.4L256 322 50.6 170.7z"></path><circle fill="white" cx="256" cy="170.7" r="86.5"></circle><g fill="#0052B4"><path d="M212.8 165.3c-15 0-29.5 2.3-43.2 6.5.6 47.2 39.1 85.3 86.4 85.3 29.3 0 55.2-14.6 70.8-36.9-26.7-33.4-67.9-54.9-114-54.9zM340.9 187.2c1-5.4 1.6-10.9 1.6-16.6 0-47.8-38.7-86.5-86.5-86.5-35.6 0-66.2 21.6-79.5 52.3 11.7-2.4 23.8-3.7 36.2-3.7 50.3.1 95.7 21 128.2 54.5z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Brazil +55</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 513 342"><path fill="white" d="M0-.3h513V342H0V-.3z"></path><path fill="#0052B4" d="M462.9 198.1c-4 0-14-5-21-9-11-6-21-12-31.1-12s-20 6-31.1 12c-7 4-16 9-20 9s-14-5-20-9c-11-6-22-12-32.1-12-9 0-20 6-31.1 12-7 4-16 9-20 9s-13-5-20-9c-11-6-22-12-31.1-12-10 0-21 6-32.1 12-6 4-16 9-20 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9s-13-5-20-9c-10-6-20-11-30.1-12v22zm462.9 55.2c-4 0-14-5-21-9-11-6-21-12-31.1-12s-20 6-31.1 12c-7 4-16 9-20 9s-14-5-20-9c-11-6-22-12-32.1-12-9 0-20 6-31.1 12-7 4-16 9-20 9s-13-5-20-9c-11-6-22-12-31.1-12-10 0-21 6-32.1 12-6 4-16 9-20 9s-13-5-20-9c-11-6-21-12-31.1-12s-20 6-31.1 12c-7 4-17 9-21 9s-13-5-20-9c-10-6-20-12-30.1-12v22l19 9c11 6 21 12 31.1 12s21-6 32.1-12c6-4 16-9 20-9s13 5 20 9c11 6 21 12 31.1 12s20-6 31.1-12c7-4 17-9 21-9s13 5 20 9c11 6 21 12 31.1 12s20-6 31.1-12c7-4 16-9 20-9s14 5 21 9c11 6 21 12 31.1 12s20-6 31.1-12c7-4 16-9 20-9s14 5 20 9c11 6 22 12 32.1 12s20-6 31.1-12l19-9v-22c-10 0-20 6-30.1 12-7 3.9-16 9-20 9zm50.1 34c-10 1-20 6-30.1 12-7 4-16 10-20 10s-14-6-21-10c-11-6-21-12-31.1-12s-20 6-31.1 12c-7 4-16 10-20 10s-14-6-20-10c-11-6-22-12-32.1-12s-20 6-31.1 12c-7 4-16 10-20 10s-13-6-20-10c-11-6-22-12-31.1-12s-21 6-32.1 12c-6 4-16 10-20 10s-13-6-20-10c-11-6-21-12-31.1-12s-20 6-31.1 12c-7 4-17 10-21 10s-13-6-20-10c-10-6-20-11-30.1-12v23c4 1 13 5 19 9 11 6 21 12 31.1 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6-31.1 12c-7 4-16 10-20 10s-13-6-20-10c-11-6-22-12-31.1-12s-21 6-32.1 12c-6 4-16 10-20 10s-13-6-20-10c-11-6-21-12-31.1-12s-20 6-31.1 12c-7 4-17 10-21 10s-13-6-20-10c-10-6-20-11-30.1-12v23c4 0 13 5 19 9 11 6 21 12 31.1 12s21-6 32.1-12c6-4 16-9 20-9s13 5 20 9c11 6 21 12 31.1 12s20-6 31.1-12c7-4 17-9 21-9s13 5 20 9c11 6 21 12 31.1 12s20-6 31.1-12c7-4 16-9 20-9s14 5 21 9c11 6 21 12 31.1 12s20-6 31.1-12c7-4 16-9 20-9s14 5 20 9c11 6 22 12 32.1 12s20-6 31.1-12c6-4 15-9 19-9v-23z"></path><path fill="white" d="M0-.3h256v171H0V-.3z"></path><path d="M389.8 119.9H408v78.8h-18.3l.1-78.8zm0 117.8H408v75.1h-18.3l.1-75.1z" fill="#A2001D"></path><g fill="#D80027"><path d="M144-.3h-32v70H0v32h112v69h32v-69h112v-32H144v-70z"></path><path d="M0-.3v15l57 39h23L0-.3zM256-.3v15l-57 39h-23l80-54z"></path><path d="M0-.3v15l57 39h23L0-.3zM256-.3v15l-57 39h-23l80-54zM0 170.7v-15l57-38h23l-80 53zM256 170.7v-15l-57-38h-23l80 53z"></path></g><g fill="#2E52B2"><path d="M0 22.7v31h46l-46-31zm96-23v49L23-.3h73zM256 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249.1h-79.8s-.9-13.4-6-21.8c-6.2-10.4-13.9-28.1-1.4-36.7 15.9-10.9 33.7.8 48.2.8 11.8.1 26.9-14 45-.8 12.2 8.9 3.9 28.2-1.3 36.7-7 11.5-4.7 21.8-4.7 21.8z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">British Indian Ocean Territory +246</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 341.33"><path fill="#FFDA44" d="M0 0h512v341.33H0z"></path><path d="M0 193.74l512 127.19V214.26L0 97.08z"></path><path fill="white" d="M512 234.26v-86.67L0 20.41v86.67"></path><g fill="#D80027" stroke="#231F20" stroke-width="3" stroke-miterlimit="10"><path d="M306.4 134.01a50.28 50.28 0 016.07 24.02c0 21.55-13.51 39.94-32.52 47.19v-59.51c5.7-1.19 10-6.37 10-12.59 6.9 0 12.5-5.75 12.5-12.85h-.42c6.9 0 12.91-5.75 12.91-12.85h-34.99V76.58l-14.99-27.71-15 27.71v30.84h-34.99c0 7.1 6.01 12.85 12.91 12.85h-.42c0 7.1 5.6 12.85 12.5 12.85 0 6.22 4.29 11.4 9.99 12.59v61.37c-22.09-5.39-38.48-25.3-38.48-49.05 0-8.7 2.2-16.88 6.07-24.02-10.96 11.21-17.72 26.53-17.72 43.44 0 34.32 27.82 62.15 62.15 62.15s62.15-27.83 62.15-62.15c0-16.91-6.77-32.24-17.72-43.44z"></path><path d="M198.46 226.81s20.69 27.71 66.5 27.71 66.5-27.71 66.5-27.71l13.47 28.37s-21.03 27.71-79.97 27.71-79.97-27.71-79.97-27.71l13.47-28.37zM129.24 133.18h20.88l24.93 27.26v73.45h-26.28v-68.37zM400 133.18h-20.88l-24.93 27.26v73.45h26.27v-68.37z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Brunei Darussalam +673</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#496E2D" d="M0 85.337h512v341.326H0z"></path><path fill="white" d="M0 85.337h512v113.775H0z"></path><path fill="#D80027" d="M0 312.888h512v113.775H0z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Bulgaria +359</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 341.3"><path fill="#6DA544" d="M0 0h512v341.3H0z"></path><path fill="#D80027" d="M0 0h512v170.7H0z"></path><path fill="#FFDA44" d="M256 66.9l25.8 79.3h83.3l-67.4 49 25.7 79.3-67.4-49-67.4 49 25.7-79.3-67.4-49h83.3z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Burkina Faso +226</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 341.3"><path fill="#D80027" d="M0 0h512v341.3H0z"></path><g fill="#6DA544"><path d="M215.9 170.7L0 314.6V26.8zM512 26.8v287.8L296.1 170.7z"></path></g><path fill="#0052B4" d="M512 26.8L296.1 170.7 512 314.6v26.7h-40.1L256 197.4 40.1 341.3H0v-26.7l215.9-143.9L0 26.8V0h40.1L256 143.9 471.9 0H512z"></path><path fill="white" d="M512 26.8L296.1 170.7 512 314.6v26.7h-40.1L256 197.4 40.1 341.3H0v-26.7l215.9-143.9L0 26.8V0h40.1L256 143.9 471.9 0H512z"></path><circle fill="white" cx="251.6" cy="170.7" r="100.2"></circle><g fill="#D80027"><path d="M251.6 93.3l10.1 17.5h20.2l-10.1 17.5 10.1 17.5h-20.2l-10.1 17.5-10.1-17.5h-20.2l10.1-17.5-10.1-17.5h20.2zM210.3 163.4l10.1 17.5h20.3l-10.1 17.5 10.1 17.5h-20.3l-10.1 17.5-10.1-17.5H180l10.1-17.5-10.1-17.5h20.2zM292.8 163.4l10.1 17.5h20.2L313 198.4l10.1 17.5h-20.2l-10.1 17.5-10.1-17.5h-20.2l10.1-17.5-10.1-17.5h20.2z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Burundi +257</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#D80027" d="M0 85.337h512v341.326H0z"></path><g fill="#0052B4"><path d="M0 85.337h512v113.775H0zM0 312.888h512v113.775H0z"></path></g><path fill="white" d="M303.49 281.971v-17.809h-11.873v-23.745l-11.872-11.872-11.872 11.872v-23.744L256 204.8l-11.873 11.873v23.744l-11.872-11.872-11.872 11.872v23.745H208.51v17.809h-11.872v17.808h118.724v-17.808z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Cambodia +855</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 341.3"><path fill="#D80027" d="M0 0h512v341.3H0z"></path><path fill="#496E2D" d="M0 0h170.7v341.3H0z"></path><g fill="#FFDA44"><path d="M341.3 0H512v341.3H341.3zM256 102.2l17.2 53H329L283.9 188l17.2 53-45.1-32.7-45.1 32.7 17.2-53-45.1-32.8h55.8z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Cameroon +237</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 341.3"><path fill="#0052B4" d="M0 0h512v341.3H0z"></path><path fill="#D80027" d="M0 182.2h512v41.4H0z"></path><path fill="white" d="M0 140.8h512v41.4H0zM0 223.6h512V265H0z"></path><g fill="#FFDA44" stroke="black" stroke-miterlimit="10"><path d="M150.4 70l6.9 21.1h22.2l-18 13.1 6.9 21.1-18-13.1-17.9 13.1 6.8-21.1-17.9-13.1h22.2zM150.4 279.7l6.9 21.1h22.2l-18 13 6.9 21.2-18-13.1-17.9 13.1 6.8-21.2-17.9-13h22.2zM52.8 208.8l6.9 21.1h22.2l-18 13 6.9 21.2-18-13.1-17.9 13.1 6.8-21.2-17.9-13H46zM90.1 91l6.9 21.1h22.2l-18 13 6.9 21.2-18-13.1-17.9 13.1 6.8-21.2-18-13h22.3zM23.8 162H46l6.8-21.1 6.9 21.1h22.2l-18 13.1 6.9 21.1-18-13-17.9 13 6.8-21.1zM72.2 310.9l6.8-21.1-18-13h22.3l6.8-21.2 6.9 21.2h22.2l-18 13 6.9 21.1-18-13zM248 208.8l-6.9 21.1h-22.2l18 13-6.9 21.2 18-13.1 18 13.1-6.9-21.2 18-13h-22.2zM210.7 91l-6.8 21.1h-22.2l17.9 13-6.8 21.2 17.9-13.1 18 13.1-6.9-21.2 18-13h-22.2zM277.1 162h-22.2l-6.9-21.1-6.9 21.1h-22.2l18 13.1-6.9 21.1 18-13 18 13-6.9-21.1zM228.7 310.9l-6.9-21.1 18-13h-22.2l-6.9-21.2-6.8 21.2h-22.2l17.9 13-6.8 21.1 17.9-13z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Cape Verde +238</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#0052B4" d="M0 85.334h512v341.337H0z"></path><circle fill="#6DA544" cx="384" cy="181.79" r="29.682"></circle><path fill="#D80027" d="M332.054 174.377h103.88v44.522h-103.88z"></path><path fill="#496E2D" d="M435.942 255.997v-.001.001z"></path><path fill="#FFDA44" d="M332.058 285.678v29.682h15.616c9.364 9.176 22.18 14.84 36.326 14.84 14.147 0 26.962-5.664 36.326-14.84h15.616v-29.682H332.058z"></path><path fill="#338AF3" d="M332.058 211.475v44.522c0 39.759 51.942 51.942 51.942 51.942s51.942-12.182 51.942-51.942v-44.522H332.058z"></path><g fill="#F3F3F3"><path d="M383.997 235.256c-12.985 0-12.985 11.873-25.97 11.873s-12.985-11.873-25.97-11.873v20.777c12.985 0 12.985 11.873 25.97 11.873s12.985-11.873 25.97-11.873c12.986 0 12.986 11.873 25.973 11.873 12.986 0 12.986-11.873 25.973-11.873v-20.777c-12.986 0-12.986 11.873-25.973 11.873-12.986-.001-12.986-11.873-25.973-11.873zM383.997 193.666c-12.985 0-12.985 11.873-25.97 11.873s-12.985-11.873-25.97-11.873v20.777c12.985 0 12.985 11.873 25.97 11.873s12.985-11.873 25.97-11.873c12.986 0 12.986 11.873 25.973 11.873 12.986 0 12.986-11.873 25.973-11.873v-20.777c-12.986 0-12.986 11.873-25.973 11.873-12.986 0-12.986-11.873-25.973-11.873z"></path></g><path fill="white" d="M256 85.334v22.617l-46.069 30.709H256v64h-46.069L256 233.38v22.617h-22.628L160 207.078v48.919H96v-48.919l-73.372 48.919H0V233.38l46.069-30.72H0v-64h46.069L0 107.951V85.334h22.628L96 134.241V85.334h64v48.907l73.372-48.907z"></path><g fill="#D80027"><path d="M144 85.329h-32v69.334H0v32h112v69.334h32v-69.334h112v-32H144z"></path><path d="M0 85.329v15.082l57.377 38.252H80zM256 85.329v15.082l-57.377 38.252H176z"></path><path d="M0 85.329v15.082l57.377 38.252H80zM256 85.329v15.082l-57.377 38.252H176zM0 255.997v-15.082l57.377-38.252H80zM256 255.997v-15.082l-57.377-38.252H176z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Cayman Islands +1345</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 341.3"><path fill="#D80027" d="M0 0h512v341.3H0z"></path><g fill="#6DA544"><path d="M0 170.7h211.5V256H0zM300.5 170.7H512V256H300.5z"></path></g><path fill="#0052B4" d="M0 0v85.3h211.5V0h89v85.3H512V0z"></path><g fill="white"><path d="M300.5 85.3H512v85.3H300.5zM0 85.3h211.5v85.3H0z"></path></g><g fill="#FFDA44"><path d="M300.5 341.3h-89V256H0v85.3h512V256H300.5zM105.7 8.6l8.6 26.2h27.5L119.5 51l8.6 26.2L105.7 61 83.4 77.2 91.9 51 69.6 34.8h27.6z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Central African Republic +236</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#FFDA44" d="M0 85.331h512v341.337H0z"></path><path fill="#0052B4" d="M0 85.331h170.663v341.337H0z"></path><path fill="#D80027" d="M341.337 85.331H512v341.337H341.337z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Chad +235</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#D80027" d="M0 85.337h512v341.326H0z"></path><path fill="white" d="M256 85.337h256V256H256z"></path><path fill="#0052B4" d="M0 85.337h256V256H0z"></path><path fill="white" d="M128 109.801l15.108 46.498H192l-39.554 28.739 15.108 46.498L128 202.799l-39.554 28.737 15.108-46.498L64 156.299h48.892z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Chile +56</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 341.3"><path fill="#D80027" d="M0 0h512v341.3H0z"></path><g fill="#FFDA44"><path d="M352.3 312.6L328 294.9l-24.4 17.7 9.3-28.6-24.3-17.7h30.1l9.3-28.6 9.3 28.6h30.1L343 284zM415.9 120.9l-24.4 17.7 9.3 28.6-24.3-17.7-24.4 17.7 9.3-28.6-24.3-17.7h30.1l9.3-28.6 9.3 28.6zM367.4 57.4L343 75l9.3 28.7L328 86l-24.4 17.7 9.3-28.7-24.3-17.6h30.1l9.3-28.7 9.3 28.7zM415.9 204.4L391.5 222l9.3 28.7-24.3-17.7-24.4 17.7 9.3-28.7-24.3-17.6h30.1l9.3-28.7 9.3 28.7z"></path></g><path fill="#FFDA44" d="M167.6 64.4l26 80.3h84.5l-68.3 49.6 26.1 80.4-68.3-49.7-68.4 49.7 26.1-80.4L57 144.7h84.5z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">China +86</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 341.3"><path fill="#0052B4" d="M0 0h512v341.3H0z"></path><path fill="#6DA544" d="M0 0h512v341.3"></path><g fill="white"><path d="M77.6 272l5.7 11.9 12.8-3-5.7 11.9 10.3 8.1-12.8 2.9V317l-10.3-8.3-10.2 8.3v-13.2l-12.8-2.9 10.3-8.1-5.8-11.9 12.9 3zM40.5 173.1l5.7 11.9 12.8-3-5.7 11.8 10.3 8.2-12.9 2.9.1 13.2-10.3-8.3-10.3 8.3.1-13.2-12.9-2.9 10.4-8.2L22 182l12.8 3zM77.6 92.2l5.7 11.8 12.8-2.9-5.7 11.8 10.3 8.2-12.8 2.9v13.1l-10.3-8.2-10.2 8.2V124l-12.8-2.9 10.3-8.2-5.8-11.8L72 104zM123.7 155.1l5.7 11.9 12.8-3-5.7 11.9 10.3 8.1-12.8 2.9v13.2l-10.3-8.2-10.2 8.2v-13.2l-12.8-2.9 10.3-8.1-5.7-11.9 12.8 3zM90.8 209.1l4.4 13.7h14.5L98 231.3l4.5 13.7-11.7-8.4-11.7 8.4 4.5-13.7-11.7-8.5h14.4z"></path></g><circle fill="#FFDA44" cx="267.1" cy="170.7" r="74.5"></circle><path fill="#6DA544" d="M267.1 220.3h24.8s10.8-19 0-37.2l24.8-24.8-12.4-24.8h-12.4s-6.2 18.6-31 18.6-31-18.6-31-18.6h-12.4l12.4 24.8-12.4 24.8 12.4 12.4s12.4-24.8 37.2-12.4c0 0 10.5 15.5 0 37.2z"></path><path fill="#FFDA44" d="M464.4 92.2c.6-2.9-.2-17.6-.2-20.7 0-21.3-13.9-39.4-33.2-45.7 5.9 12 9.2 25.4 9.2 39.7 0 4.8-.4 9.5-1.1 14.1-2.9-4.7-6.6-8.9-11.2-12.6-17.1-13.6-40.6-14-57.9-2.5 13.4 2.9 26.3 8.9 37.7 18 9 7.1 16.2 16.8 21.7 26.1 0 0-17.8 10.9-31 15.1s-42.3 7.9-42.3 7.9c72 12 132-36 132-36-6.5-13.4-15.8-4-23.7-3.4z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Christmas Island +61</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 341.3"><path fill="#6DA544" d="M0 0h512v341.3H0z"></path><g fill="#FFDA44"><path d="M422.7 252.4l6.2 12.8 13.8-3.2-6.2 12.8 11.2 8.8-13.9 3.2V301l-11.1-8.9-11.1 8.9v-14.2l-13.8-3.2 11.1-8.8-6.2-12.8 13.9 3.2zM376.1 116.1l6.2 12.9 13.8-3.2-6.2 12.8 11.2 8.8-13.9 3.1v14.3l-11.1-8.9-11.1 8.9.1-14.3-13.9-3.1 11.1-8.8-6.2-12.8L370 129zM413.1 38.3l6.2 12.8 13.8-3.2-6.2 12.8 11.2 8.9-13.9 3.1v14.2L413.1 78 402 86.9l.1-14.2-13.9-3.1 11.1-8.9-6.2-12.8 13.9 3.2zM464.9 96.7l6.2 12.8 13.9-3.2-6.3 12.8 11.2 8.9-13.9 3.1.1 14.2-11.2-8.9-11.1 8.9.1-14.2L440 128l11.2-8.9-6.3-12.8 13.9 3.2zM436.9 164.8l4.9 14.8h15.6l-12.6 9.2 4.8 14.9-12.7-9.2-12.6 9.2 4.8-14.9-12.6-9.2h15.6z"></path></g><path fill="#FFDA44" d="M306.8 254.7c-49.2 0-89.1-39.9-89.1-89.1s39.9-89.1 89.1-89.1c15.3 0 29.8 3.9 42.4 10.7C329.4 67.9 302.3 56 272.5 56c-60.5 0-109.6 49.1-109.6 109.6S212 275.3 272.5 275.3c29.8 0 56.9-11.9 76.6-31.3-12.6 6.8-27 10.7-42.3 10.7zM140.4 59.5C129.7 41 109.7 28.6 86.8 28.6S44 41 33.3 59.5h107.1zM140.6 59.9l-53.8 53.8-53.7-53.8C28 68.9 25 79.3 25 90.5c0 34.2 27.7 61.9 61.9 61.9s61.9-27.7 61.9-61.9c-.1-11.2-3.1-21.6-8.2-30.6z"></path><path fill="#A2001D" d="M71.4 98.2v52.2c4.9 1.3 10.1 1.9 15.5 1.9s10.5-.7 15.5-1.9V98.2h-31z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Cocos (Keeling) Islands +61</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#FFDA44" d="M0 85.337h512v341.326H0z"></path><path fill="#D80027" d="M0 343.096h512v83.567H0z"></path><path fill="#0052B4" d="M0 256h512v87.096H0z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Colombia +57</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#0052B4" d="M0 85.337h512v341.326H0z"></path><path fill="#FFDA44" d="M0 85.337h512v85.337H0z"></path><path fill="white" d="M0 170.663h512V256H0z"></path><path fill="#D80027" d="M0 256h512v85.337H0z"></path><path fill="#6DA544" d="M256 256.006L0 426.668V85.331z"></path><g fill="white"><path d="M68.638 256c0-24.865 17.476-45.638 40.812-50.734a52.059 52.059 0 00-11.13-1.208c-28.688 0-51.942 23.255-51.942 51.942s23.255 51.942 51.942 51.942c3.822 0 7.543-.425 11.13-1.208-23.337-5.096-40.812-25.869-40.812-50.734z"></path><path d="M108.877 211.478l2.762 8.503h8.94l-7.232 5.256 2.762 8.502-7.232-5.255-7.234 5.255 2.764-8.502-7.234-5.256h8.94zM108.877 233.739l2.762 8.503h8.94l-7.232 5.255 2.762 8.503-7.232-5.255-7.234 5.255 2.764-8.503-7.234-5.255h8.94zM108.877 256l2.762 8.503h8.94l-7.232 5.255 2.762 8.503-7.232-5.255-7.234 5.255 2.764-8.503-7.234-5.255h8.94zM108.877 278.261l2.762 8.502h8.94l-7.232 5.256 2.762 8.503-7.232-5.255-7.234 5.255 2.764-8.503-7.234-5.256h8.94z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Comoros +269</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#D80027" d="M0 85.331h512v341.337H0z"></path><path fill="#6DA544" d="M443.726 85.331L102.4 426.657H0V85.331z"></path><path fill="#FFDA44" d="M500.124 85.331L158.798 426.657H11.876L353.202 85.331z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Congo +242</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#0052B4" d="M0 85.332h512v341.337H0z"></path><g fill="white"><path d="M384 156.705l5.283 16.254h17.089l-13.826 10.045 5.281 16.254L384 189.211l-13.825 10.047 5.28-16.254-13.825-10.045h17.089zM313.791 185.786l15.228 7.758 12.084-12.083-2.673 16.879 15.227 7.759-16.879 2.673-2.674 16.88-7.76-15.227-16.878 2.673 12.086-12.084zM284.71 255.995l16.254-5.281.001-17.089 10.044 13.825 16.254-5.282-10.046 13.827 10.046 13.826-16.254-5.28-10.044 13.825v-17.09zM313.791 326.204l7.759-15.229-12.084-12.084 16.881 2.674 7.757-15.227 2.674 16.879 16.879 2.672-15.227 7.759 2.673 16.882-12.084-12.087zM384 355.284l-5.281-16.253h-17.091l13.827-10.045-5.28-16.254L384 322.776l13.827-10.044-5.281 16.254 13.826 10.045h-17.089zM454.209 326.204l-15.229-7.758-12.083 12.084 2.673-16.882-15.227-7.756 16.879-2.675 2.675-16.879 7.756 15.227 16.881-2.674-12.086 12.085zM483.29 255.995l-16.254 5.281v17.09l-10.045-13.826-16.254 5.281 10.046-13.826-10.046-13.827 16.254 5.282 10.045-13.825v17.089zM454.209 185.788l-7.757 15.226 12.082 12.084-16.881-2.673-7.756 15.227-2.675-16.88-16.879-2.675 15.227-7.757-2.673-16.878 12.084 12.082zM0 186.665v16h46.069L0 233.377v7.539l57.377-38.252H80L0 255.998h112v-69.334H0zm96 69.331H22.628L96 207.083v48.913zM176 138.665l80-53.334H144v69.334h112v-16h-46.069L256 107.951v-7.539l-57.377 38.251H176v.002zm-16-53.332h73.372L160 134.246V85.333zM144 255.998h112l-80-53.334h22.623L256 240.917v-7.539l-46.069-30.713H256v-16H144v69.333zm16-48.915l73.372 48.913H160v-48.913zM112 85.331H0l80 53.334H57.377L0 100.413v7.539l46.069 30.712H0v16h112V85.331zm-16 48.915L22.628 85.333H96v48.913z"></path></g><g fill="#D80027"><path d="M144 85.331h-32v69.334H0v32h112v69.333h32v-69.333h112v-32H144z"></path><path d="M80 138.665L0 85.331v15.082l57.377 38.252zM176 138.665h22.623L256 100.413V85.331zM57.377 202.665L0 240.917v15.081l80-53.333zM176 202.665l80 53.333v-15.081l-57.377-38.252z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Cook Islands +682</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.331h512v341.326H0z"></path><path fill="#D80027" d="M0 211.473h512v89.043H0z"></path><g fill="#0052B4"><path d="M0 352.462h512v74.207H0zM0 85.331h512v74.207H0z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Costa Rica +506</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.331h512v341.326H0z"></path><path fill="#6DA544" d="M330.207 85.331H512v341.337H330.207z"></path><path fill="#FF9811" d="M0 85.331h181.793v341.337H0z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Cote d'Ivoire +225</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 513 342"><path fill="white" d="M0 0h513v342H0z"></path><path fill="#D80027" d="M0 0h513v114H0z"></path><path fill="#0052B4" d="M0 228h513v114H0z"></path><g fill="#338AF3"><path d="M309.3 113.2v-44l17.5-14.4 17.7 14.4v44zM203.7 113.2v-44l-17.3-14.4-17.9 14.4v44zM238.9 113.2v-44l17.6-14.4 17.6 14.4v44z"></path></g><g fill="#0052B4"><path d="M309.3 113.2h-35.2v-44l17.5-14.4 17.7 14.4zM238.9 113.2h-35.2v-44l17.5-14.4 17.7 14.4z"></path></g><path stroke="#D80027" fill="white" d="M168.5 113.2v101.9c0 24.3 14.4 46.2 35.4 59.4 21.3 13.4 42.1 14.7 52.6 14.7s31.4-1.7 52.6-14.8c21-13 35.4-35.1 35.4-59.3V113.2h-176z"></path><g fill="#D80027"><path d="M168.5 113.2h35.2v35.2h-35.2zM238.9 113.2h35.2v35.2h-35.2zM309.3 113.2h35.2v35.2h-35.2zM203.7 148.4h35.2v35.2h-35.2zM274.1 148.4h35.2v35.2h-35.2zM168.5 183.6h35.2v35.2h-35.2zM203.7 218.8h35.2V254h-35.2zM238.9 183.6h35.2v35.2h-35.2zM309.3 183.6h35.2v35.2h-35.2zM274.1 218.8h35.2V254h-35.2zM309.3 274.3c8.6-5.4 16.2-12.3 22-20.3h-22v20.3zM181.7 254c5.8 8 13.3 14.9 22 20.4V254h-22zM238.9 254v33.7c7.2 1.2 13.3 1.5 17.6 1.5 4.3 0 10.4-.3 17.6-1.6V254h-35.2z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Croatia +385</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 341.3"><path fill="#FF9811" d="M0-40.8v422.9-211.4z"></path><path fill="white" d="M0 0h512v341.3H0z"></path><g fill="#0052B4"><path d="M0 0h512v68.3H0zM0 136.5h512v68.3H0zM0 273.1h512v68.3H0z"></path></g><path fill="#D80027" d="M256 170.7L0 341.3V0z"></path><path fill="white" d="M81.5 94.8l16.9 51.9H153l-44.2 32.1 16.9 52-44.2-32.1-44.2 32.1 16.9-52L10 146.7h54.6z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Cuba +53</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 341.3"><path fill="white" d="M0 0h512v341.3H0z"></path><path fill="#6DA544" d="M371.5 275.9l-11.1-15c-22.4 16.1-67.7 35.8-104.3 35.8-35.8 0-79.6-17.1-104.3-35.8l-11.1 15c10 10.3 46.9 27 88.4 38.4-3.9 6-1.6 6.1 2.6 10.8 8.5-6.6 17.4-1.5 24.9-7.3 7.5 5.8 16.3.7 24.9 7.3 5.4-5.6 5.4-5.6 2.5-11.1 41-11.7 77-27.6 87.5-38.1z"></path><path fill="#DB7D00" d="M113.7 168.7s.2 79.9 89 77.8L208 263h10.6s-8.9-49 71.7-49.4c0 0 0-32.9 32.9-32.9h49.4S294 119 442.8 40.1l2.2-15.6s-154.8 84.6-237 68.1c0 0 12.7 50.7-12.9 50.7-12.8 0-11.6-9.6-38.4-9.6-22.3 0-20.6 23.5-31.3 23.2S103 142.3 102 144.8s11.7 23.9 11.7 23.9z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Cyprus +357</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#0052B4" d="M0 85.337h512v341.326H0z"></path><path fill="#D80027" d="M512 256v170.663H0L215.185 256z"></path><path fill="white" d="M512 85.337V256H215.185L0 85.337z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Czech Republic +420</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 341.3"><path fill="#338AF3" d="M0 0h512v341.3H0z"></path><path fill="#FFDA44" d="M512 66.9V0H411.7L0 274.4v66.9h100.3z"></path><path fill="#D80027" d="M512 0v40.1L60.2 341.3H0v-40.1L451.8 0z"></path><path fill="#FFDA44" d="M93.6 31.2l16.3 50.4H163l-42.9 31.2 16.4 50.5-42.9-31.2-43 31.2L67 112.8 24.1 81.6h53.1z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Democratic Republic of the Congo +243</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 513 342"><path fill="#D80027" d="M0 0h513v342H0z"></path><path fill="white" d="M190 0h-60v140H0v60h130v142h60V200h323v-60H190z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Denmark +45</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 341.3"><path fill="#6DA544" d="M0 0h512v341.3H0z"></path><path fill="#338AF3" d="M512 0v166.7L0 170.8V0z"></path><path fill="white" d="M256 170.7L0 341.3V0z"></path><path fill="#D80027" d="M89.8 92.5l17 52.4H162l-44.6 32.5 17 52.4-44.6-32.4-44.6 32.4 17-52.4-44.6-32.5h55.2z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Djibouti +253</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 341.3"><path fill="#496E2D" d="M0 0h512v341.3H0z"></path><path d="M0 110.7v120h512v-120z"></path><path fill="#FFDA44" d="M0 110.7h512v40H0z"></path><path fill="white" d="M0 190.7h512v40H0z"></path><path d="M196 0h120v341.3H196z"></path><path fill="#FFDA44" d="M196 0h40v341.3h-40z"></path><path fill="white" d="M274.7 0h40v341.3h-40z"></path><circle fill="#D80027" cx="256" cy="170.7" r="123.1"></circle><g fill="#496E2D"><path d="M256 58.6l4.6 14.2h15l-12.1 8.9 4.6 14.2-12.1-8.8-12.1 8.8 4.6-14.2-12.1-8.9h15zM190.1 80l12.2 8.8 12.1-8.8-4.6 14.3 12.1 8.8h-15l-4.6 14.2-4.7-14.2h-15l12.1-8.8zM149.4 136h15l4.6-14.2 4.7 14.2h15l-12.2 8.8 4.7 14.3-12.2-8.8-12.1 8.8 4.6-14.3zM149.4 205.3l12.1-8.8-4.6-14.3L169 191l12.2-8.8-4.7 14.3 12.2 8.8h-15l-4.7 14.3-4.6-14.3zM190.1 261.4l4.6-14.3-12.1-8.8h15l4.7-14.3 4.6 14.3h15l-12.1 8.8 4.6 14.3-12.1-8.9zM256 282.8l-4.6-14.3h-15l12.1-8.8-4.6-14.3 12.1 8.8 12.1-8.8-4.6 14.3 12.1 8.8h-15zM321.9 261.4l-12.2-8.9-12.1 8.9 4.6-14.3-12.1-8.8h15l4.6-14.3 4.7 14.3h15l-12.1 8.8zM362.6 205.3h-15l-4.6 14.3-4.7-14.3h-15l12.2-8.8-4.7-14.3L343 191l12.1-8.8-4.6 14.3zM362.6 136l-12.1 8.8 4.6 14.3-12.1-8.8-12.2 8.8 4.7-14.3-12.2-8.8h15l4.7-14.2 4.6 14.2zM321.9 80l-4.6 14.3 12.1 8.8h-15l-4.7 14.2-4.6-14.2h-15l12.1-8.8-4.6-14.3 12.1 8.8z"></path></g><path fill="#496E2D" d="M279.3 168.7c-11-21.1-14.5-25.1-14.5-25.1s.4-9.7.4-15.6c0-8.8-7.4-15.8-16.5-15.8-8.6 0-15.7 2.9-16.5 11-4.2.9-8.6 4.1-8.6 10.7 0 4.8 1 7.3 5.2 9.3 2.1-4.6 4.3-4.8 9.3-6.4.8.6 1.7 3 2.6 3.4l.3 1s-13.3 6.6-13.3 30.9c0 29.5 22 45.4 22 45.4l-1.8.3-1.9 7.1h22v-7.2l11 17.5c.3-.3 10.2-47.6.3-66.5z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Dominica +1767</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 341.3"><path fill="white" d="M0 0h512v341.3H0z"></path><path fill="#D80027" d="M0 215.2h211.5v126.1H0z"></path><path fill="#0052B4" d="M0 0h211.5v126.2H0z"></path><path fill="#D80027" d="M300.5 0H512v126.2H300.5z"></path><path fill="#0052B4" d="M300.5 215.2H512v126.1H300.5z"></path><g stroke="white" stroke-width="5" stroke-miterlimit="10"><path fill="#0052B4" d="M256 130h-49.9v49.4s19.5 6 49.9 6V130z"></path><path fill="#D80027" d="M206.1 179.4v6c0 27.5 22.3 49.9 49.9 49.9v-49.9c-30.4 0-49.9-6-49.9-6z"></path><path fill="#0052B4" d="M256 235.3c27.5 0 49.9-22.3 49.9-49.9v-6s-19.5 6-49.9 6v49.9z"></path><path fill="#D80027" d="M256 130v55.4c30.4 0 49.9-6 49.9-6V130H256z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Dominican Republic +1849</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 341.3"><path fill="#FFDA44" d="M0 0h512v341.3H0z"></path><path fill="#0052B4" d="M0 170.7h512V256H0z"></path><path fill="#D80027" d="M0 256h512v85.3H0z"></path><circle fill="#FFDA44" cx="256" cy="170.7" r="59.4"></circle><path fill="#4C1F00" d="M369.2 79.9s-27.2-13.8-33.9-16c-6.7-2.2-49.1-13.2-49.1-7 0 10.3-13.5 12-15.5 12s-2-5.3-14.8-5.3-13.7 4.8-15.8 4.8c-2.2 0-14.5-1-14.5-11.5 0-5.2-42.9 4-49.1 7-6.1 3.1-33.9 16-33.9 16s45.8 2.7 53.9 6.2 43.8 16.5 43.8 16.5l-2.8 13.3h37.8l-3.8-13.3s35.1-12.7 43.8-16.5 53.9-6.2 53.9-6.2z"></path><path fill="#57BA17" d="M217.7 171.7c0 21.1 17.2 38.3 38.3 38.3 21.1 0 38.3-17.2 38.3-38.3v-11.5h-76.5v11.5z"></path><path fill="#338AF3" d="M256 110.5c-21.1 0-38.3 17.2-38.3 38.3v11.5h76.5v-11.5c.1-21.1-17.1-38.3-38.2-38.3z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Ecuador +593</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 341.3"><path fill="white" d="M0 0h512v341.3H0z"></path><path fill="#D80027" d="M0 0h512v113.8H0z"></path><path d="M0 227.6h512v113.8H0z"></path><path fill="#C09300" d="M220.3 204.4s0-58.4 4.5-64.7c3.1-4.3 16.8 5.2 22.7 4.5 0 0 4.2-7.5 4.5-12 .3-4.6-1.1-7.6-4.9-6.2 0 0-1.2-2.1.5-3.3 1.6-1.2 5.6.1 5.6.1s-.5-1 1.6-.9c2.9.2 7.2 1.4 7.4 5.6.2 3.1.3 7.7.4 8.7.7 6.8 2.7 8.7 2.7 8.7s18.4-9.2 22-5.2c3.3 3.8 4.5 64.7 4.5 64.7l-18.1-16.8 12.1 29.5s-14.4 2.4-28.9 2.4c-14.5 0-31.1-4.2-31.1-4.2l13.8-28.2-19.3 17.3z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Egypt +20</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.337h512v341.326H0z"></path><g fill="#0052B4"><path d="M0 85.337h512v113.775H0zM0 312.888h512v113.775H0z"></path></g><path fill="#FFDA44" d="M228.582 261.936L256 214.447l27.418 47.489z"></path><path fill="#6DA544" d="M291.616 277.616L256 295.425l-35.616-17.809v-23.744h71.232z"></path><path fill="#FFDA44" d="M289.579 216.485l-12.592 12.592c5.37 5.372 8.693 12.791 8.693 20.988 0 16.392-13.289 29.68-29.68 29.68-16.392 0-29.68-13.289-29.68-29.68 0-8.195 3.322-15.616 8.693-20.988l-12.592-12.592c-8.594 8.594-13.91 20.466-13.91 33.579 0 26.228 21.261 47.489 47.489 47.489s47.489-21.261 47.489-47.489c0-13.114-5.316-24.987-13.91-33.579z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">El Salvador +503</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 513 342"><path fill="white" d="M0 0h513v342H0z"></path><path fill="#6DA544" d="M0 0h513v113.8H0z"></path><path fill="#D80027" d="M0 227.6h513V342H0z"></path><path fill="#0070C8" d="M126 170.7L0 341.3V0z"></path><path fill="none" stroke="black" stroke-miterlimit="10" d="M233.8 139.4v40.4c0 35.6 35.6 35.6 35.6 35.6s35.6 0 35.6-35.6v-40.4h-71.2z"></path><path fill="#786145" d="M264.5 179.8h9.8l4 25.8h-17.8z"></path><path fill="#6DA544" d="M287.2 162c0-9.8-8-14.8-17.8-14.8s-17.8 5-17.8 14.8c-4.9 0-8.9 4-8.9 8.9s4 8.9 8.9 8.9h35.6c4.9 0 8.9-4 8.9-8.9s-4-8.9-8.9-8.9z"></path><g fill="#FFDA00" stroke="black" stroke-miterlimit="10"><path d="M230.7 120l1.9 3.3h3.8l-1.9 3.3 1.9 3.2h-3.8l-1.9 3.3-1.9-3.3H225l1.9-3.2-1.9-3.3h3.8zM246 120l1.9 3.3h3.7l-1.9 3.3 1.9 3.2h-3.7l-1.9 3.3-1.9-3.3h-3.8l1.9-3.2-1.9-3.3h3.8zM261.3 120l1.9 3.3h3.7l-1.9 3.3 1.9 3.2h-3.7l-1.9 3.3-1.9-3.3h-3.8l1.9-3.2-1.9-3.3h3.8zM277.1 120l1.9 3.3h3.8l-1.9 3.3 1.9 3.2H279l-1.9 3.3-1.9-3.3h-3.7l1.8-3.2-1.8-3.3h3.7zM293.1 120l1.9 3.3h3.8l-1.9 3.3 1.9 3.2H295l-1.9 3.3-1.9-3.3h-3.7l1.8-3.2-1.8-3.3h3.7zM308.1 120l1.9 3.3h3.7l-1.9 3.3 1.9 3.2H310l-1.9 3.3-1.9-3.3h-3.8l1.9-3.2-1.9-3.3h3.8z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Equatorial Guinea +240</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 341.3"><path fill="#338AF3" d="M0 0h512v341.3H0z"></path><path fill="#56AF35" d="M0 0h512v170.7H0z"></path><path fill="#D80027" d="M0 341.3l512-170.7L0 0v341.3z"></path><g fill="#ffc945"><path d="M134.7 231.5c33.6 0 60.8-27.2 60.8-60.8s-27.2-60.8-60.8-60.8-60.8 27.2-60.8 60.8 27.2 60.8 60.8 60.8zm0 24.3c-47 0-85.2-38.1-85.2-85.2s38.1-85.2 85.2-85.2 85.2 38.1 85.2 85.2-38.2 85.2-85.2 85.2z"></path><circle cx="119.5" cy="148.3" r="17.5"></circle><circle cx="148.9" cy="158.5" r="17.5"></circle><circle cx="134.7" cy="135.2" r="17.5"></circle><circle cx="119.5" cy="172.7" r="17.5"></circle><circle cx="149.9" cy="182.8" r="17.5"></circle><circle cx="122.5" cy="198" r="17.5"></circle><circle cx="145.9" cy="205.2" r="17.5"></circle></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Eritrea +291</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#111" d="M0 85.337h512v341.326H0z"></path><path fill="#368FD8" d="M0 85.337h512v113.775H0z"></path><path fill="white" d="M0 312.888h512v113.775H0z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Estonia +372</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 900 600"><path fill="#2B5DEA" d="M0 0h900v600H0V0z"></path><path fill="#FFDF29" d="M0 100h900v400H0V100z"></path><path fill="#D70000" d="M0 150h900v300H0V150z"></path><path fill="white" d="M450 171.4v257.2c114.3 0 171.4-85.7 214.3-128.6-42.9-42.9-100-128.6-214.3-128.6z"></path><path d="M450 171.4c-100 0-171.4 85.7-214.3 128.6C278.6 342.9 350 428.6 450 428.6V171.4z"></path><path fill="white" d="M346.3 254.3h21v91.3h-21zM398.2 254.3h21v91.3h-21z"></path><path d="M477.8 254.3h21v91.3h-21zM529.7 254.3h21v91.3h-21z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Eswatini +268</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 22.5 15"><path fill="#20AA46" d="M0 0h22.5v5H0V0z"></path><path fill="#E92F3B" d="M0 10h22.5v5H0v-5z"></path><path fill="#FADF50" d="M0 5h22.5v5H0V5z"></path><circle fill="#205CCA" cx="11.3" cy="7.5" r="5.2"></circle><path fill="#FFDB3D" d="M11.2 9.2L8.8 11l.9-2.9-2.4-1.8h3l1-2.8 1 2.9h3l-2.4 1.8.9 2.9-2.6-1.9zm0-1l.9.6-.3-1.1.9-.7h-1.1l-.4-1.1-.4 1.1H9.7l.9.7-.3 1.1c0 .1.9-.6.9-.6z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Ethiopia +251</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 341.3"><path fill="#0052B4" d="M0 0h512v341.3H0z"></path><path fill="white" d="M256 0v30.6l-45.2 25.1H256V115h-59.1l59.1 32.8v22.9h-26.7l-73.5-40.9v40.9h-55.6v-48.6l-87.5 48.6H0v-30.6L45.2 115H0V55.7h59.1L0 22.8V0h26.7l73.5 40.8V0h55.6v48.6L243.3 0z"></path><path fill="#D80027" d="M144 0h-32v69.3H0v32h112v69.4h32v-69.4h112v-32H144z"></path><path fill="#0052B4" d="M155.8 115L256 170.7v-15.8L184.2 115z"></path><path fill="white" d="M155.8 115L256 170.7v-15.8L184.2 115z"></path><g fill="#D80027"><path d="M155.8 115L256 170.7v-15.8L184.2 115zM71.8 115L0 154.9v15.8L100.2 115z"></path></g><path fill="#0052B4" d="M100.2 55.6L0 0v15.7l71.8 39.9z"></path><path fill="white" d="M100.2 55.6L0 0v15.7l71.8 39.9z"></path><g fill="#D80027"><path d="M100.2 55.6L0 0v15.7l71.8 39.9zM184.2 55.6L256 15.7V0L155.8 55.6z"></path></g><path fill="#1F8BDE" d="M312.2 194.2v-90c0-8.5 6.5-15.3 15-15.3h120.5c8.3 0 15 6.8 15 15.3v90c0 75.2-75.2 105.3-75.2 105.3s-75.3-30.1-75.3-105.3z"></path><path fill="white" d="M312.2 194.2v-90c0-8.5 6.5-15.3 15-15.3h120.5c8.3 0 15 6.8 15 15.3v90c0 75.2-75.2 105.3-75.2 105.3s-75.3-30.1-75.3-105.3zm79.6 86.3c7.9-4.5 15.9-10 23.2-16.7 20.5-18.5 32.6-41.4 32.6-69.7v-90c0-.3-120.4-.3-120.4-.3v90.3c0 28.3 12.1 51.2 32.6 69.7 8.3 7.5 17.6 13.9 27.6 19 1.4-.6 2.8-1.4 4.4-2.3z"></path><path fill="#187536" d="M347.1 193.4c-2.6-7.9 1.7-14.3 10.1-14.3h60.5c8.2 0 12.8 6.3 10.1 14.3l-5.5 16.5c-2.6 7.9-8.9 9.2-15.8 4 0 0 2.6-4.8-19.1-4.8-21.7 0-19.1 4.8-19.1 4.8-6.1 5.7-13.1 4-15.8-4 .1.1-5.4-16.5-5.4-16.5z"></path><path fill="white" d="M357.4 179.1c8.1 1.6 17.8-15 30.1-15 13.1 0 21.8 17.1 30.1 15 7.4-1.8 15-22.2 15-30.1 0-16.6-20.2-30.1-45.1-30.1-24.9 0-45.1 13.5-45.1 30.1-.1 8.5 6.6 28.5 15 30.1zM356 270.7c6.2.4 12.5-1.8 17.2-6.5l9-9c2.9-2.9 7.5-2.9 10.4 0l9 9c4.7 4.7 11 6.9 17.1 6.5 5.3-.3 32.5-33.5 25.7-32.6-4.6.6-9.1 2.8-12.7 6.3l-.1.1-9 9c-2.9 2.9-7.5 2.9-10.4 0l-9-9c-8.7-8.8-22.9-8.8-31.7-.1l-.1.1-9 9c-2.9 2.9-7.5 2.9-10.4 0l-9-9c-3.5-3.5-7.8-5.6-12.3-6.3-6.7-1.1 20.1 32.2 25.3 32.5zM322.1 210c2.9-2.9 7.5-2.9 10.4 0l9 9c8.8 8.7 22.9 8.7 31.7 0l9-9c2.9-2.9 7.5-2.9 10.4 0l9 9c8.8 8.7 22.9 8.7 31.7 0l9-9c2.9-2.9 7.5-2.9 10.4 0 0 0 5.5-14.8 2.5-15.9-7.9-2.9-17.2-1.2-23.5 5.2l-.1.1-9 9c-2.9 2.9-7.5 2.9-10.4 0l-9-9c-8.7-8.8-22.9-8.8-31.7-.1l-.1.1-9 9c-2.9 2.9-7.5 2.9-10.4 0l-9-9c-6.2-6.2-15.1-8-22.8-5.5-3.1 1.1 1.9 16.1 1.9 16.1z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Falkland Islands (Malvinas) +500</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 341.3"><path fill="white" d="M0 0h512v341.3H0z"></path><path fill="#0F61A5" d="M512 214.5H206.2v126.8H118.4V214.5H0v-87.7h118.4V0H206.2v126.8H512V192z"></path><path fill="#E50E3D" d="M512 149.3V192H183.7v149.3H141V192H0v-42.7h141V0h42.7v149.3z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Faroe Islands +298</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 341.3"><path fill="#2E52B2" d="M0 0h512v341.3H0z"></path><path fill="white" d="M256 0v22.6l-46.1 30.7H256v64h-46.1L256 148v22.7h-22.6l-73.4-49v49H96v-49l-73.4 49H0V148l46.1-30.7H0v-64h46.1L0 22.6V0h22.6L96 48.9V0h64v48.9L233.4 0z"></path><g fill="#D80027"><path d="M144 0h-32v69.3H0v32h112v69.4h32v-69.4h112v-32H144z"></path><path d="M0 0v15.1l57.4 38.2H80zM256 0v15.1l-57.4 38.2H176z"></path><path d="M0 0v15.1l57.4 38.2H80zM256 0v15.1l-57.4 38.2H176zM0 170.7v-15.1l57.4-38.3H80zM256 170.7v-15.1l-57.4-38.3H176z"></path></g><path fill="#F3F3F3" d="M307.1 127.1v92c0 61.6 80.5 80.5 80.5 80.5s80.4-19 80.4-80.6v-92l-80.5-23-80.4 23.1z"></path><path fill="#D80027" d="M468 132.8V98.3H307.1v34.5h69v69h-69v23h69V296c6.9 2.5 11.5 3.5 11.5 3.5s4.6-1.1 11.5-3.5v-71.2h69v-23h-69v-69H468z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Fiji +679</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 341.3"><path fill="white" d="M0 0h512v341.3H0z"></path><path fill="#2E52B2" d="M512 129.3V212H203.7v129.3H121V212H0v-82.7h121V0h82.7v129.3z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Finland +358</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.331h512v341.337H0z"></path><path fill="#0052B4" d="M0 85.331h170.663v341.337H0z"></path><path fill="#D80027" d="M341.337 85.331H512v341.337H341.337z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">France +33</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 90 60"><path fill="#FDEB01" d="M0 0l90 60H0z"></path><path fill="#58A846" d="M90 0v60L0 0z"></path><path fill="#ED3D24" stroke="#A02021" stroke-miterlimit="10" d="M54.1 35.3l14.7-10.7H50.6L45 7.3l-5.6 17.3H21.2l14.7 10.7-5.6 17.4L45 42l14.7 10.7z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">French Guiana +594</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.337h512v341.326H0z"></path><g fill="#D80027"><path d="M0 85.337h512v113.775H0zM0 312.888h512v113.775H0z"></path></g><path fill="#FFDA44" d="M293.991 256c0 20.982-17.01 33.243-37.992 33.243S218.008 276.982 218.008 256s17.01-37.992 37.992-37.992 37.991 17.01 37.991 37.992z"></path><path fill="#0052B4" d="M293.991 256c0 20.982-17.01 37.992-37.992 37.992s-37.992-17.01-37.992-37.992"></path><g fill="#D80027"><path d="M232.259 246.506h9.498v19h-9.498zM270.247 246.506h9.498v19h-9.498zM251.247 232.259h9.498v33.243h-9.498z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">French Polynesia +689</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#FFDA44" d="M0 85.337h512v341.326H0z"></path><path fill="#6DA544" d="M0 85.337h512v113.775H0z"></path><path fill="#0052B4" d="M0 312.888h512v113.775H0z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Gabon +241</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.337h512v341.326H0z"></path><path fill="#1a7e25" d="M0 322.783h512v103.88H0z"></path><path fill="#cf0d19" d="M0 85.337h512v104.515H0z"></path><path fill="#0052B4" d="M0 210.877h512v89.656H0z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Gambia +220</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 22.5 15"><path fill="white" d="M.8 0h21v15H.8V0z"></path><path fill="#eb000e" d="M9.8 6H0v3h9.8v6h3V9h9.8V6h-9.8V0h-3v6z"></path><path fill="#eb000e" d="M17.3 2.7l-.2-1.2h1l-.2 1.2 1.2-.2v1l-1.2-.2.2 1.2h-1l.2-1.2-1.2.2v-1l1.2.2zm-12.7 0l-.2-1.2h1l-.2 1.2 1.2-.2v1l-1.2-.2.2 1.2h-1l.2-1.2-1.2.2v-1l1.2.2zm0 9l-.2-1.2h1l-.2 1.2 1.2-.2v1l-1.2-.2.2 1.2h-1l.2-1.2-1.2.2v-1l1.2.2zm12.7 0l-.2-1.2h1l-.2 1.2 1.2-.2v1l-1.2-.2.2 1.2h-1l.2-1.2-1.2.2v-1l1.2.2z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Georgia +995</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#FFDA44" d="M0 85.337h512v341.326H0z"></path><path fill="#D80027" d="M0 85.337h512v113.775H0z"></path><path fill="#496E2D" d="M0 312.888h512v113.775H0z"></path><path d="M255.883 199.111l14.119 43.458 40.366 3.2-36.969 26.861 19.453 40.259-36.969-26.859-36.97 26.859 14.123-43.459-36.969-26.861h45.696z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Ghana +233</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 513 342"><path fill="white" d="M0 0h513v342H0z"></path><path fill="#D80027" d="M0 230h513v112H0z"></path><path fill="#D80027" stroke="black" stroke-miterlimit="10" d="M363.1 131.8V99.1H374V77.3h-21.9v10.9h-21.8V77.3h-21.8v21.8h10.9v32.7h-21.8V55.5h10.9V33.7h-21.8v10.9h-10.9V33.7H254v10.9h-10.9V33.7h-21.8v21.8h10.9v76.3h-21.8V99.1h10.9V77.3h-21.8v10.9h-21.8V77.3h-21.8v21.8h10.9v32.7H145V219h239.9v-87.2z"></path><path fill="#FFDA44" stroke="black" stroke-miterlimit="10" d="M264.9 235.5l-24.2 18.2 19.1 14.3v31.3h-23.2v9h23v7.9h-23v9.3H270V268l19.1-14.3-24.2-18.2zm0 25.3l-10.1-7.1 10.1-7.1 10.1 7.1-10.1 7.1z"></path><path d="M239.6 209.7v-27.9s.1-22.3 25-22.3c24.8 0 25.7 22 25.7 22v28.2h-50.7zM170.5 209.7v-24.3s.1-18.7 19.6-18.7 20.2 18.4 20.2 18.4v24.5h-39.8z"></path><path d="M169.1 209.7v-24.3s.1-18.7 19.6-18.7 20.2 18.4 20.2 18.4v24.5h-39.8zM320.9 209.7v-24.3s.1-18.7 19.6-18.7 20.2 18.4 20.2 18.4v24.5h-39.8zM329.3 132v-15.7s.1-12.1 11.3-12.1c11.3 0 11.7 11.9 11.7 11.9V132h-23zM250.5 132v-23.7s.1-18.3 14.3-18.3c14.2 0 14.7 18 14.7 18v24h-29zM177.5 132v-15.7s.1-12.1 11.3-12.1 11.7 11.9 11.7 11.9V132h-23z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Gibraltar +350</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 513 342"><path fill="white" d="M0 0h513v342H0z"></path><g fill="#1571CC"><path d="M0 0h513v38H0zM0 76h513v38H0zM0 152h513v38H0zM0 228h513v38H0zM0 304h513v38H0z"></path></g><path fill="#1571CC" d="M0 0h190v190H0z"></path><g fill="white"><path d="M0 76h190v38H0z"></path><path d="M76 0h38v190H76z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Greece +30</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 513 342"><path fill="#D80027" d="M0 0h513v342H0z"></path><path fill="white" d="M513 0v171H0V0z"></path><circle fill="white" cx="185.8" cy="171.2" r="117.8"></circle><path fill="#D80027" d="M68 171c0-65.1 52.8-117.8 117.8-117.8 65.1 0 117.8 52.8 117.8 117.8"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Greenland +299</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 341.3"><path fill="#c60a0a" d="M0 0h512v341.3H0z"></path><path fill="#3E8446" d="M256 170.7L44.5 296.8V44.5z"></path><g fill="#FFDA44"><path d="M256 170.7l211.5 126.1h-423zM467.5 44.5L256 170.7 44.5 44.5z"></path></g><path fill="#3E8446" d="M467.5 44.5v252.3L256 170.7z"></path><g fill="#FFDA44"><path d="M256 10.4l3.3 10.2H270l-8.6 6.3 3.3 10.2-8.7-6.3-8.7 6.3 3.3-10.2-8.6-6.3h10.7zM170.1 10.4l3.3 10.2h10.7l-8.6 6.3 3.3 10.2-8.7-6.3-8.7 6.3 3.3-10.2-8.6-6.3h10.7zM341.9 10.4l3.3 10.2H356l-8.7 6.3 3.3 10.2-8.7-6.3-8.7 6.3 3.3-10.2-8.6-6.3h10.7zM256 304.2l3.3 10.2H270l-8.6 6.3 3.3 10.2-8.7-6.3-8.7 6.3 3.3-10.2-8.6-6.3h10.7zM170.1 304.2l3.3 10.2h10.7l-8.6 6.3 3.3 10.2-8.7-6.3-8.7 6.3 3.3-10.2-8.6-6.3h10.7zM341.9 304.2l3.3 10.2H356l-8.7 6.3 3.3 10.2-8.7-6.3-8.7 6.3 3.3-10.2-8.6-6.3h10.7z"></path></g><circle fill="#c60a0a" cx="244.5" cy="170.7" r="76.2"></circle><path fill="#FFDA44" d="M244.5 110.1l13.6 41.8h44l-35.6 25.8 13.6 41.8-35.6-25.8-35.5 25.8 13.6-41.8-35.6-25.8h44zM107.7 167.8c4.4 6.9 2.3 16.1-4.6 20.5s-16.1 2.3-20.5-4.6c-7.9-12.5-3.3-33-3.3-33s20.4 4.6 28.4 17.1z"></path><circle fill="#A2001D" cx="99.1" cy="182.1" r="7.4"></circle></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Grenada +1473</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.331h512v341.337H0z"></path><path fill="#0052B4" d="M0 85.331h170.663v341.337H0z"></path><path fill="#D80027" d="M341.337 85.331H512v341.337H341.337z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Guadeloupe +590</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 513 342"><path fill="#D80027" d="M0 0h512v341.3H0z"></path><path fill="#0052B4" d="M11.1 11.1h489.7v319.1H11.1z"></path><path fill="#7DBEF1" d="M256 285.3s76.4-51.3 76.4-114.6S256 56 256 56s-76.4 51.3-76.4 114.6S256 285.3 256 285.3z"></path><path fill="#1C8AE6" d="M179.8 180.7h152.6l-29.3 64.9h-95.2z"></path><path fill="#FFF042" d="M192.3 205.9s40.5 38.2 51 38.2c12.4 0 12.6-18.4 25.5-25.5 20.2-11.1 51-12.7 51-12.7L297 248.7l-41 36.6-46.8-39.7-16.9-39.7z"></path><path fill="#259C7B" d="M256 157.5l-22.5 15.6 7.9-26.2-21.8-16.5 27.4-.5 9-25.9 9 25.9 27.4.5-21.8 16.6 7.9 26.2-22.5-15.7z"></path><path fill="#8E5715" d="M249.7 144.6c-.9 9.2-1.5 18.4-1.7 27.6-.3 11.9.3 20.7 2 26 2.2 6.6 7.2 12.9 14.2 18.9 5.3 4.6 10.6 8.1 14.2 10.1 3.1 1.7 7 .6 8.7-2.4 1.7-3.1.6-7-2.4-8.7-4.3-2.5-8.4-5.4-12.2-8.7-5.4-4.6-9.1-9.2-10.4-13.3-1.1-3.4-1.6-11.3-1.4-21.7.2-8.9.8-17.8 1.7-26.6.4-3.5-2.2-6.6-5.7-7-3.6-.3-6.7 2.3-7 5.8z"></path><path fill="white" d="M217.8 170.7l25.5 38.2h-25.5v-38.2z"></path><path fill="none" stroke="#D80027" stroke-width="12" stroke-miterlimit="10" d="M256 285.3s76.4-51.3 76.4-114.6S256 56 256 56s-76.4 51.3-76.4 114.6S256 285.3 256 285.3z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Guam +1671</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 513 342"><path fill="white" d="M0 0h513v342H0z"></path><g fill="#338AF3"><path d="M0 0h171v342H0zM342 0h171v342H342z"></path></g><circle fill="#DCC26D" cx="256" cy="155.8" r="25.5"></circle><path fill="#628A40" d="M194.2 155.9c0 22.1 11.8 42.5 30.8 53.5 5.9 3.4 13.5 1.4 16.9-4.5 3.4-5.9 1.4-13.5-4.5-16.9-11.5-6.6-18.5-18.9-18.5-32.1 0-6.8-5.5-12.4-12.4-12.4s-12.3 5.5-12.3 12.4zm95.1 52.1c17.8-11.4 28.6-31 28.5-52.1 0-6.8-5.5-12.4-12.4-12.4-6.8 0-12.4 5.5-12.4 12.4 0 12.7-6.5 24.5-17.1 31.3-5.8 3.6-7.7 11.2-4.1 17 3.6 5.8 11.2 7.7 17 4.1.2-.1.3-.2.5-.3z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Guatemala +502</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 513 342"><path fill="white" d="M0 0h513v342H0z"></path><path fill="#D80027" d="M308 0H204v118.7H0v104h204V342h104V222.7h205v-104H308z"></path><path fill="#FFDA44" d="M368.6 188l26 17.3V136l-26 17.3h-95.3V58.1l17.3-26h-69.2l17.3 26v95.2h-95.3l-26-17.3v69.3l26-17.3h95.3v95.2l-17.3 26h69.2l-17.3-26V188z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Guernsey +44</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 513 342"><path fill="#FFDA44" d="M0 0h512v342H0z"></path><path fill="#6DA544" d="M342 0h171v342H342z"></path><path fill="#D80027" d="M0 0h171v342H0z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Guinea +224</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#6DA544" d="M0 85.331h512v341.337H0z"></path><path fill="#FFDA44" d="M0 85.331h512v170.663H0z"></path><path fill="#D80027" d="M0 85.331h181.793v341.337H0z"></path><path d="M98.32 195.127l15.107 46.497h48.894l-39.555 28.74 15.108 46.498-39.554-28.737-39.556 28.737 15.111-46.498-39.554-28.74h48.891z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Guinea-Bissau +245</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 900 600"><path fill="#009E49" d="M0 0h900v600H0V0z"></path><path fill="white" d="M0 0l947 300L0 600V0z"></path><path fill="#FFD00D" d="M0 26.1L870 300 0 573.9V26.1z"></path><path fill="#2D2D2D" d="M0 0l450 300L0 600V0z"></path><path fill="#D3132F" d="M0 35l397.5 265L0 565V35z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Guyana +592</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 513 342"><path fill="#A2001D" d="M0 0h513v172H0z"></path><path fill="#0052B4" d="M0 172h513v172H0z"></path><path fill="white" d="M381.4 251.5l-110.7-13.8-110.8 13.8V85.4h221.5z"></path><circle fill="#0052B4" cx="270.7" cy="182.3" r="55.4"></circle><circle fill="#A2001D" cx="270.7" cy="182.3" r="27.7"></circle><path fill="#6DA544" d="M229.1 113.1h83.1l-41.5 41.5z"></path><path fill="#FFDA44" d="M256.8 140.8h27.7v83h-27.7z"></path><path fill="#6DA544" d="M314.9 215.5h-88.5l-66.5 36h221.5z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Haiti +509</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#FFDA44" d="M0 85.331h512v341.326H0z"></path><path fill="white" d="M256 85.331h256v341.337H256z"></path><path fill="#ACABB1" d="M321.353 233.837l32.073 42.43c-5.053 7.651-5.026 17.961.817 25.692 7.414 9.807 21.374 11.748 31.182 4.335 9.807-7.414 11.748-21.374 4.334-31.182-5.843-7.731-15.756-10.568-24.495-7.795l-49.988-66.129-11.838 8.949-17.759 13.424 17.899 23.677 17.775-13.401zm46.175 48.78a7.421 7.421 0 118.95 11.84 7.421 7.421 0 01-8.95-11.84z"></path><path fill="#FFDA44" d="M376.367 247.24l17.899-23.677-17.759-13.424-11.838-8.949-49.988 66.129c-8.74-2.775-18.651.063-24.495 7.795-7.414 9.808-5.473 23.768 4.334 31.182 9.808 7.414 23.768 5.473 31.182-4.335 5.845-7.731 5.871-18.041.817-25.692l32.073-42.43 17.775 13.401zm-62.504 45.771a7.42 7.42 0 11-11.84-8.95 7.42 7.42 0 0111.84 8.95z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Holy See (Vatican City State) +379</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 513 342"><path fill="white" d="M0 0h513v342H0z"></path><g fill="#338AF3"><path d="M0 0h513v114H0zM0 228h513v114H0zM203.5 117.9l6.7 16.6 17.6 1-14 10.9 4.7 17.7-15-9.9-15 9.9 4.7-17.7-14-10.9 17.6-1zM308.5 117.9l6.7 16.6 17.6 1-14 10.9 4.7 17.7-15-9.9-15 9.9 4.7-17.7-14-10.9 17.6-1zM256 147.6l6.7 16.6 17.6 1-14 10.9 4.7 17.7-15-9.9-15 9.9 4.7-17.7-14-10.9 17.6-1zM203.5 177.3l6.7 16.6 17.6 1-14 10.9 4.7 17.6-15-9.9-15 9.9 4.7-17.6-14-10.9 17.6-1zM308.5 177.3l6.7 16.6 17.6 1-14 10.9 4.7 17.6-15-9.9-15 9.9 4.7-17.6-14-10.9 17.6-1z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Honduras +504</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.337h512v341.326H0z"></path><path fill="#D80027" d="M0 85.337h512v113.775H0z"></path><path fill="#6DA544" d="M0 312.888h512v113.775H0z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Hungary +36</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#0052B4" d="M0 85.334h512v341.337H0z"></path><path fill="white" d="M512 295.883H202.195v130.783H122.435V295.883H0V216.111h122.435V85.329H202.195v130.782H512V277.329z"></path><path fill="#D80027" d="M512 234.666v42.663H183.652v149.337h-42.674V277.329H0v-42.663h140.978V85.329h42.674v149.337z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Iceland +354</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.337h512v341.326H0z"></path><path fill="#A2001D" d="M0 85.337h512V256H0z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Indonesia +62</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 513 342"><path fill="white" d="M0 0h512v342H0z"></path><path fill="#6DA544" d="M0 0h513v114H0z"></path><g fill="#D80027"><path d="M0 227.9h513v114H0zM278.8 134.8c.1 2 8.7 26.2 4.4 39.4-6.6 20.3-15.8 21.8-19.8 24.5V134l-6.9-4.2-6.9 4.2v64.7c-4-2.7-12.4-2.4-19.8-24.5-4.3-12.7 5.7-37.3 5.8-39.2 0 0-9.5 8.1-15.8 24-5.9 14.8 1.9 49.6 29.5 54.8 2.3.4 4.7 5.6 7.2 5.6 2.1 0 4.1-5.2 6-5.5 28.4-4.6 35-41.7 29.9-55.6-5.4-14.6-13.6-23.5-13.6-23.5z"></path></g><g fill="white" opacity=".5"><path d="M44.6 98.9h22.3v24.4H44.6zM0 98.9h22.3v24.4H0zM89.2 98.9h22.3v24.4H89.2zM133.8 98.9h22.3v24.4h-22.3zM178.4 98.9h22.3v24.4h-22.3zM223 98.9h22.3v24.4H223zM267.7 98.9H290v24.4h-22.3zM312.3 98.9h22.3v24.4h-22.3zM356.9 98.9h22.3v24.4h-22.3zM401.5 98.9h22.3v24.4h-22.3zM446.1 98.9h22.3v24.4h-22.3zM490.7 98.9H513v24.4h-22.3zM44.6 216.9h22.3v25.5H44.6zM0 216.9h22.3v25.5H0zM89.2 216.9h22.3v25.5H89.2zM133.8 216.9h22.3v25.5h-22.3zM178.4 216.9h22.3v25.5h-22.3zM223 216.9h22.3v25.5H223zM267.7 216.9H290v25.5h-22.3zM312.3 216.9h22.3v25.5h-22.3zM356.9 216.9h22.3v25.5h-22.3zM401.5 216.9h22.3v25.5h-22.3zM446.1 216.9h22.3v25.5h-22.3zM490.7 216.9H513v25.5h-22.3z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Iran +98</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 513 342"><path fill="white" d="M0 0h513v342H0z"></path><path fill="#CE1126" d="M0 0h513v114H0z"></path><path d="M0 228h513v114H0z"></path><g fill="#547C31"><path d="M219.2 160.7h-29.3c1.5-5.7 6.6-9.9 12.8-9.9v-19.9c-18.3 0-33.1 14.9-33.1 33.1v16.5h49.6c1.8 0 3.3 1.5 3.3 3.3v6.6h-66.2v19.9h86.1v-26.5c0-12.7-10.4-23.1-23.2-23.1zM268.8 190.5v-59.6H249v79.5h33.1v-19.9zM335 190.5v-59.6h-19.8v59.6h-6.6v-19.8h-19.9v39.7h59.6v-19.9z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Iraq +964</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 513 342"><path fill="#E52D42" d="M0 0h513v342H0z"></path><path fill="white" d="M393.3 68.2h-45.8l-33.8 80.2-34.4-22.9s-24.7-59.1-34.4-68.2c-9.7-9.7-18.7-.6-48.9 7.8-29.6 8.4-30.8 18.7-42.2 18.7-4.8 0-19.9-17.5-27.7-22.3-12.1-7.8-16.9-4.2-13.9 7.2 1.2 4.8 10.9 10.9 16.9 19.9 7.8 11.5 12.7 25.9 12.7 25.9s10.9-10.3 16.9-12.1c9-2.4 19.3 1.8 31.4 0 15.1-2.4 31.4-10.9 31.4-10.9l4.2 43.4s-54.3 50.7-49.5 70.6 56.1 44.6 68.2 62.7c12.1 17.5-7.2 24.1-7.2 32.6s-1.8 19.9 7.2 16.3c9-3.6 10.3-18.1 18.7-31.4 6-9 10.3-13.9 11.5-17.5 1.8-9-23.5-32-37.4-48.9-6.6-7.8-19.9-18.7-19.9-18.7l39.2-29.6s67.6 27.7 82.6 18.7c15.1-9 19.3-98.3 19.3-98.3l47-11.5-12.1-11.7z"></path><path fill="#F8DD4E" d="M279.3 262.4c-6 0-11.5-4.8-11.5-11.5s4.8-11.5 11.5-11.5c6 0 11.5 4.8 11.5 11.5s-5.5 11.5-11.5 11.5zm45.8-182.8c-6 0-11.5-4.8-11.5-11.5s4.8-11.5 11.5-11.5c6 0 11.5 4.8 11.5 11.5s-5.5 11.5-11.5 11.5zm0 91.1c-6 0-11.5-4.8-11.5-11.5 0-6 4.8-11.5 11.5-11.5 6 0 11.5 4.8 11.5 11.5-.6 6.7-5.5 11.5-11.5 11.5zm-136.9 45.8c-6 0-11.5-4.8-11.5-11.5 0-6 4.8-11.5 11.5-11.5 6.6 0 11.5 4.8 11.5 11.5s-5.5 11.5-11.5 11.5zm45.2-136.9c-6 0-11.5-4.8-11.5-11.5s4.8-11.5 11.5-11.5c6 0 11.5 4.8 11.5 11.5s-4.8 11.5-11.5 11.5zm22.9 91.1c-6 0-11.5-10.3-11.5-22.9s4.8-22.9 11.5-22.9c6 0 11.5 10.3 11.5 22.9s-4.8 22.9-11.5 22.9zm-114-45.2c-6 0-11.5-4.8-11.5-11.5 0-6.6 4.8-11.5 11.5-11.5 6.6 0 11.5 4.8 11.5 11.5 0 6.6-4.8 11.5-11.5 11.5z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Isle of Man +44</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 513 342"><path fill="white" d="M0 0h513v342H0z"></path><g fill="#2E52B2"><path d="M340.6 122.4h-56.1l-28-48.6-28 48.6h-56.1l28 48.6-28 48.6h56.1l28 48.6 28-48.6h56.1l-28-48.6 28-48.6zM293.2 171L276 204.2h-38.9L219.8 171l17.2-33.2h38.9l17.3 33.2zm-36.7-71.8l11.9 23.3h-23.9l12-23.3zm-58.3 38.6h23.9l-10.8 21-13.1-21zm0 66.4l13-22.1 11.9 22.1h-24.9zm58.3 37.5l-11.9-22.1h23.9l-12 22.1zm59.4-37.5h-25l11.9-22.1 13.1 22.1zm-26.1-66.4h26.1l-13 22.1-13.1-22.1zM0 21.3h512V64H0zM0 277.3h512V320H0z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Israel +972</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M341.334 85.33H0v341.332h512V85.33z"></path><path fill="#6DA544" d="M0 85.333h170.663V426.67H0z"></path><path fill="#D80027" d="M341.337 85.333H512V426.67H341.337z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Italy +39</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#6DA544" d="M0 85.337h512v341.326H0z"></path><path d="M215.864 256.006L0 399.911V112.089zM512 112.089v287.822L296.136 256.006z"></path><path fill="#0052B4" d="M512 112.089L296.136 256.006 512 399.911v26.757h-40.125L256 282.752 40.125 426.668H0v-26.757l215.864-143.905L0 112.089V85.331h40.125L256 229.248 471.875 85.331H512z"></path><path fill="#FFDA44" d="M512 112.089L296.136 256.006 512 399.911v26.757h-40.125L256 282.752 40.125 426.668H0v-26.757l215.864-143.905L0 112.089V85.331h40.125L256 229.248 471.875 85.331H512z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Jamaica +1876</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.331h512v341.337H0z"></path><circle fill="#D80027" cx="256" cy="255.994" r="96"></circle></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Japan +81</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 513 342"><path fill="white" d="M0 0h513v342H0z"></path><path fill="#D80027" d="M301.8 171L513 30.2V0h-45.3L256.5 140.8 45.3 0H0v30.2L211.2 171 0 311.8V342h45.3l211.2-140.8L467.7 342H513v-30.2z"></path><path fill="#FFDA44" d="M233.7 44.6l22.3 5.6 22.3-5.6 4-20.9-14.9 6.5L256 14.8l-11.4 15.4-14.9-6.5z"></path><path fill="#D80027" d="M233.7 44.6s-4 12.9-4 29.9c0 27.9 26.3 41.3 26.3 41.3s26.3-15.5 26.3-41.3c0-15.4-4-29.9-4-29.9s-8.1-5-22.3-5-22.3 5-22.3 5z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Jersey +44</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.339h512v341.326H0z"></path><path d="M0 85.339h512v113.775H0z"></path><path fill="#6DA544" d="M0 312.89h512v113.775H0z"></path><path fill="#D80027" d="M256 256.006L0 426.669V85.331z"></path><path fill="white" d="M77.913 224.802l7.876 16.469 17.786-4.11-7.965 16.426 14.303 11.343-17.808 4.014.049 18.255-14.241-11.421-14.241 11.421.05-18.255-17.809-4.014 14.303-11.343-7.965-16.426 17.786 4.11z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Jordan +962</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 513 342"><path fill="#36B6CC" d="M0 0h513v342H0V0z"></path><circle fill="#FFD400" cx="256.5" cy="170.9" r="68.4"></circle><path fill="#FFD400" d="M256.5 251.5l-27.9 41.7-7.1-49.7-43.2 25.5 15.2-47.8-50 4.2 34.4-36.5-46.9-18 46.8-18-34.4-36.5 50 4.2-15.2-47.8 43.2 25.4 7.1-49.7 27.9 41.7 27.9-41.7 7.1 49.7 43.2-25.4-15.2 47.8 50-4.2-34.3 36.6 46.8 17.9-46.8 18 34.4 36.5-50-4.2 15.2 47.8-43.2-25.4-7.1 49.7c0-.1-27.9-41.8-27.9-41.8zm0-.8c44.1 0 79.9-35.8 79.9-79.9S300.6 91 256.5 91s-79.9 35.8-79.9 79.9 35.8 79.8 79.9 79.8zM22.8 28.3c0-3.2 2.4-5.7 5.7-5.7h11.3c3.2 0 5.7 2.4 5.7 5.7v11.3c.1 3.1-2.4 5.7-5.6 5.7H28.5c-3.1 0-5.7-2.5-5.7-5.6v-.1-11.3zm0 45.7c0-3.2 2.4-5.7 5.7-5.7h11.3c3.2 0 5.7 2.4 5.7 5.7v11.3c.1 3.1-2.4 5.7-5.6 5.7H28.5c-3.1 0-5.7-2.5-5.7-5.6V74zm0 45.6c0-3.2 2.4-5.7 5.7-5.7h11.3c3.2 0 5.7 2.4 5.7 5.7v11.3c.1 3.1-2.4 5.7-5.6 5.7H28.5c-3.1 0-5.7-2.5-5.7-5.6v-.1-11.3zm0 45.6c0-3.2 2.4-5.7 5.7-5.7h11.3c3.2 0 5.7 2.4 5.7 5.7v11.3c.1 3.1-2.4 5.7-5.6 5.7H28.5c-3.1 0-5.7-2.5-5.7-5.6v-.1-11.3zm0 45.7c0-3.2 2.4-5.7 5.7-5.7h11.3c3.2 0 5.7 2.4 5.7 5.7v11.3c.1 3.1-2.4 5.7-5.6 5.7H28.5c-3.1 0-5.7-2.5-5.7-5.6v-11.4zm0 45.6c0-3.2 2.4-5.7 5.7-5.7h11.3c3.2 0 5.7 2.4 5.7 5.7v11.3c.1 3.1-2.4 5.7-5.6 5.7H28.5c-3.1 0-5.7-2.5-5.7-5.6v-11.4zm0 45.6c0-3.2 2.4-5.7 5.7-5.7h11.3c3.2 0 5.7 2.4 5.7 5.7v11.3c.1 3.1-2.4 5.7-5.6 5.7H28.5c-3.1 0-5.7-2.5-5.7-5.6v-11.4zm22.8-22.8c0-3.2 2.4-5.7 5.7-5.7h11.3c3.2 0 5.7 2.4 5.7 5.7v11.3c.1 3.1-2.4 5.7-5.6 5.7H51.3c-3.1 0-5.7-2.5-5.7-5.6v-11.4zm0-45.6c0-3.2 2.4-5.7 5.7-5.7h11.3c3.2 0 5.7 2.4 5.7 5.7V245c.1 3.1-2.4 5.7-5.6 5.7H51.3c-3.1 0-5.7-2.5-5.7-5.6v-11.4zm0-45.7c0-3.2 2.4-5.7 5.7-5.7h11.3c3.2 0 5.7 2.4 5.7 5.7v11.3c.1 3.1-2.4 5.7-5.6 5.7H51.3c-3.1 0-5.7-2.5-5.7-5.6V188zm0-45.6c0-3.2 2.4-5.7 5.7-5.7h11.3c3.2 0 5.7 2.4 5.7 5.7v11.3c.1 3.1-2.4 5.7-5.6 5.7H51.3c-3.1 0-5.7-2.5-5.7-5.6v-.1-11.3zm0-45.6c0-3.2 2.4-5.7 5.7-5.7h11.3c3.2 0 5.7 2.4 5.7 5.7v11.3c.1 3.1-2.4 5.7-5.6 5.7H51.3c-3.1 0-5.7-2.5-5.7-5.6v-.1-11.3zm0-45.6c0-3.2 2.4-5.7 5.7-5.7h11.3c3.2 0 5.7 2.4 5.7 5.7v11.3c.1 3.1-2.4 5.7-5.6 5.7H51.3c-3.1 0-5.7-2.5-5.7-5.6V51.2z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Kazakhstan +77</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.331h512v341.337H0z"></path><path d="M0 85.331h512v90.579H0z"></path><path fill="#496E2D" d="M0 336.089h512v90.568H0z"></path><path fill="#A2001D" d="M0 198.606h512v114.799H0z"></path><g fill="white"><path d="M323.265 139.803l-25.583-11.809L256 222.376l-41.682-94.382-25.583 11.809 51.749 116.191-51.749 116.192 25.583 11.808L256 289.613l41.682 94.381 25.583-11.808-51.749-116.192z"></path><path d="M273.376 150.931C263.472 140.115 256 133.898 256 133.898s-7.472 6.216-17.376 17.032v210.127C248.528 371.873 256 378.091 256 378.091s7.472-6.216 17.376-17.033V150.931z"></path></g><g fill="#A2001D"><path d="M209.04 191.226v129.535c10.465 18.542 23.274 33.742 32.872 43.818V147.408c-9.599 10.076-22.408 25.275-32.872 43.818zM302.96 191.226c-10.465-18.543-23.274-33.742-32.872-43.818V364.58c9.599-10.077 22.407-25.276 32.872-43.818V191.226z"></path></g><path d="M302.96 191.226v129.535c10.594-18.774 18.784-40.973 18.784-64.767s-8.19-45.993-18.784-64.768zM209.04 191.226v129.535c-10.594-18.774-18.784-40.973-18.784-64.767s8.19-45.993 18.784-64.768z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Kenya +254</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 450 300"><path fill="#CE1126" d="M0 0h450v300H0V0z"></path><g fill="#FCD116"><circle cx="227.6" cy="161.2" r="56.2"></circle><path d="M254.1 73.4l-23.7 26 28.6 6.5zM202.6 73.6l-4.8 33.1 28.5-8zM296.9 100.3l-34.7 8.5 20.1 23.7zM158.6 98.5l15.5 32.7 20.2-22.7zM317.6 143.8l-34.4-9.9 5.6 29.5zM135.6 141.2l31.9 19.8 5.2-27.7z"></path></g><path fill="#003F87" d="M0 175h450v125H0V175z"></path><path fill="white" d="M0 267c15 0 30 13 45 13s30-13 45-13 30 13 45 13 30-13 45-13 30 13 45 13 30-13 45-13 30 13 45 13 30-13 45-13 30 13 45 13 30-13 45-13v-21c-15 0-30 13-45 13s-30-13-45-13-30 13-45 13-30-13-45-13-30 13-45 13-30-13-45-13-30 13-45 13-30-13-45-13-30 13-45 13-30-13-45-13v21zm0-43c15 0 30 13 45 13s30-13 45-13 30 13 45 13 30-13 45-13 30 13 45 13 30-13 45-13 30 13 45 13 30-13 45-13 30 13 45 13 30-13 45-13v-21c-15 0-30 13-45 13s-30-13-45-13-30 13-45 13-30-13-45-13-30 13-45 13-30-13-45-13-30 13-45 13-30-13-45-13-30 13-45 13-30-13-45-13v21zm0-43c15 0 30 13 45 13s30-13 45-13 30 13 45 13 30-13 45-13 30 13 45 13 30-13 45-13 30 13 45 13 30-13 45-13 30 13 45 13 30-13 45-13v-21c-15 0-30 13-45 13s-30-13-45-13-30 13-45 13-30-13-45-13-30 13-45 13-30-13-45-13-30 13-45 13-30-13-45-13-30 13-45 13-30-13-45-13v21z"></path><path fill-rule="evenodd" clip-rule="evenodd" fill="#FCD116" d="M183.2 48.3l-1.1-5.3 22.4-3.7s-30.1-7.1-40-10.7c-14.3-5.1-16.3-12.1-16.3-12.1s44.7 11 64.8 11c4.3 0 12.8 10.7 12.8 10.7s14.8-14.9 21.9-15.4c32.1-2.3 66.6-6.4 66.6-6.4s-10 6.7-16 8.5c-16.2 4.9-50.6 11.7-50.6 11.7l-4.8 7.5H277l-14.4 4.3 7.4 6.9s-7.8-4.1-18.1-2.1c-7.1 1.3-15.4 6-22.9 8-18.7 4.8-29.9-12.8-29.9-12.8l-15.9-.1z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Kiribati +686</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#91DC5A" d="M0 85.331h512v341.337H0z"></path><path fill="white" d="M0 85.331h512v341.337H0z"></path><g fill="#0052B4"><path d="M0 85.331h512v57.188H0zM0 369.48h512v57.177H0z"></path></g><path fill="#D80027" d="M0 165.215h512v181.582H0z"></path><circle fill="white" cx="190.33" cy="255.994" r="65.668"></circle><path fill="#D80027" d="M190.332 190.332l14.734 45.346h47.757l-38.65 28.028 14.849 45.481-38.69-28.16-38.631 28.107 14.79-45.428-38.616-28.028h47.722z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Korea, Democratic People's Republic of Korea +850</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 900 600"><path fill="white" d="M0 0h900v600H0z"></path><g transform="rotate(-56.31)"><g stroke="black" stroke-width="25"><path d="M-75 228.3H75m-150 37.5H75m-150 37.5H75M-75 778.3H75m-150 37.5H75m-150 37.5H75"></path></g><path stroke="white" stroke-width="12.5" d="M0 753.3v125"></path><circle fill="#ca163a" cy="540.8" r="150"></circle><path fill="#0e4896" d="M0 390.8c-41.4 0-75 33.6-75 75s33.6 75 75 75 75 33.6 75 75-33.6 75-75 75c-82.8 0-150-67.2-150-150s67.2-150 150-150z"></path></g><g stroke="black" stroke-width="25"><path d="M231.56 535.73l-83.205-124.808M262.76 514.928l-83.205-124.807m114.407 104.006l-83.205-124.808M689.187 230.644l-83.205-124.807M720.39 209.843L637.184 85.036m114.407 104.006L668.386 64.234"></path></g><path stroke="white" stroke-width="12.5" d="M205.6 462.897l31.202-20.8m389.981-259.989l36.444-24.296m31.202-20.801l31.202-20.801"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Korea, Republic of South Korea +82</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 341.33"><path fill="#0052B4" d="M0 0h512v341.34H0z"></path><g fill="white"><path d="M220.72 42.63l7.95 16.11 17.77 2.58-12.86 12.54 3.04 17.7-15.9-8.36-15.9 8.36 3.03-17.7-12.86-12.54 17.78-2.58zM291.28 42.57l7.95 16.1 17.78 2.59-12.86 12.53 3.03 17.71-15.9-8.36-15.9 8.36 3.04-17.71-12.86-12.53 17.77-2.59zM353.36 53.93l7.95 16.11 17.77 2.58-12.86 12.54 3.04 17.7-15.9-8.35-15.9 8.35 3.04-17.7-12.87-12.54 17.78-2.58zM416.37 72.23l7.95 16.11 17.77 2.59-12.86 12.53 3.04 17.71-15.9-8.36-15.9 8.36 3.03-17.71-12.86-12.53 17.78-2.59zM158.64 53.93l7.95 16.11 17.78 2.58-12.87 12.54 3.04 17.7-15.9-8.35-15.9 8.35 3.04-17.7-12.86-12.54 17.77-2.58zM95.63 72.23l7.95 16.11 17.78 2.59-12.86 12.53 3.03 17.71-15.9-8.36-15.9 8.36 3.04-17.71-12.86-12.53 17.77-2.59z"></path></g><path fill="#FFDA44" d="M217.53 259.33l-27.22-13.61-27.22-54.43h27.22l27.22-27.22 13.61-27.22 27.22-13.61 13.61 13.61 27.22 13.61v13.61l13.61 13.61 40.83 27.22L340 245.73l-40.83 40.83-13.61-27.22-40.83 27.22v27.22l-13.61-13.61-13.59-40.84z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Kosovo +383</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 342"><g fill="#D80027"><path d="M0 0h513v342H0z"></path><circle cx="256" cy="170.7" r="170.7"></circle></g><path fill="#FFDA44" d="M382.4 170.7L330.8 195l27.5 50-56.1-10.7-7.1 56.6-39.1-41.7-39.1 41.7-7.1-56.6-56.1 10.7 27.5-50-51.6-24.3 51.6-24.3-27.5-50.1 56.1 10.8 7.1-56.7L256 92.1l39.1-41.7 7.1 56.7 56.1-10.8-27.5 50.1z"></path><circle fill="#D80027" cx="257.4" cy="170.7" r="71.6"></circle><g fill="#FFDA44"><path d="M214.2 170.7c-2.1 0-4.1.1-6.2.3.1 12 4.4 22.9 11.6 31.5 3.8-10.3 9.5-19.6 16.7-27.7-6.9-2.7-14.3-4.1-22.1-4.1zM240.8 217.2c5.2 1.9 10.8 2.9 16.6 2.9 5.8 0 11.4-1 16.6-2.9-2.8-11.1-8.7-21-16.6-28.8-7.9 7.8-13.8 17.7-16.6 28.8zM300.2 146c-8.5-14.8-24.5-24.7-42.8-24.7-18.3 0-34.2 9.9-42.8 24.7 15.6.1 30.2 4.3 42.8 11.6 12.6-7.3 27.2-11.6 42.8-11.6zM278.5 174.8c7.2 8 12.9 17.4 16.7 27.7 7.2-8.5 11.5-19.5 11.6-31.5-2-.2-4.1-.3-6.2-.3-7.7 0-15.2 1.4-22.1 4.1z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Kyrgyzstan +996</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 513 342"><path fill="#0052B4" d="M0 0h513v342H0z"></path><g fill="#D80027"><path d="M0 .1h513v90.7H0zM0 251.3h513V342H0z"></path></g><circle fill="white" cx="256.5" cy="171" r="65.9"></circle></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Laos +856</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 513 342"><path fill="white" d="M0 0h513v342H0z"></path><g fill="#A2001D"><path class="prefix__st1" d="M0 0h513v127.6H0zM0 214.4h513V342H0z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Latvia +371</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 513 342"><path fill="white" d="M0 0h513v342H0z"></path><g fill="#D80027"><path d="M0 .2h513v90.7H0zM.5 251.3H513V342H.5z"></path></g><path fill="#6DA544" d="M290.3 193.5L256 130.7l-34.3 62.8h25.7v17.2h17.2v-17.2z"></path><path fill="#14AF5A" d="M241.3 213.1c4.4-4.4 4.4-11.6-.1-16l4.7 4.7c-5.2-4.7-12.2-6.6-19.1-5.3l-23.5 5.9c-6.1 1.5-6.8-.4-1.8-4.2l27.1-20.3c5.1-3.8 4.2-6.9-2.3-6.9h-11c-6.4 0-7-2.3-1.5-5.1l25.3-12.7c5.6-2.8 5.1-5.1-1.5-5.1h-11c-6.4 0-7.4-3.1-2.3-6.9l27.1-20.3c5.6-3.8 12.9-3.8 18.5 0l27.1 20.3c5.1 3.8 4.2 6.9-2.3 6.9h-11c-6.4 0-7 2.3-1.5 5.1l25.3 12.7c5.6 2.8 5.1 5.1-1.5 5.1h-11c-6.4 0-7.4 3.1-2.3 6.9l27.1 20.3c5.1 3.8 4.4 5.7-1.8 4.2l-23.5-5.9c-6.8-1.3-13.9.6-19.1 5.3l4.7-4.7c-4.4 4.4-4.5 11.5-.1 16l6.8 6.8c4.4 4.4 3.1 8-3.3 8h-45.8c-6.2 0-7.7-3.6-3.3-8 .1.1 6.9-6.8 6.9-6.8z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Lebanon +961</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 513 342"><path fill="white" d="M0 0h513v342H0z"></path><path fill="#0052B4" d="M0 0h513v114H0z"></path><path fill="#6DA544" d="M0 227.6h513v114H0z"></path><path d="M245.2 171l7.7-23.1c2-5.9 5.1-6 7.1 0l7.7 23.1 19.4 29.1c1.7 2.6 1.3 6.3-1.2 8 0 0-6.9 8-29.5 8s-29.5-8-29.5-8c-2.4-2-2.9-5.4-1.2-8l19.5-29.1z"></path><path d="M256.5 171c-12.5 0-22.6-10.1-22.6-22.6 0-12.5 10.1-22.6 22.6-22.6s22.6 10.1 22.6 22.6c0 12.5-10.2 22.6-22.6 22.6zm0 0c6.2 0 11.3-16.3 11.3-22.6 0-6.2-5.1-11.3-11.3-11.3-6.2 0-11.3 5.1-11.3 11.3 0 6.3 5 22.6 11.3 22.6z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Lesotho +266</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 91.476h512v341.337H0z"></path><g fill="#D80027"><path d="M0 91.476h512v31.031H0zM0 153.539h512v31.031H0zM0 215.603h512v31.031H0zM0 277.666h512v31.031H0zM0 339.729h512v31.031H0zM0 401.793h512v31.031H0z"></path></g><path fill="#0052B4" d="M0 79.177h256v167.457H0z"></path><path fill="white" d="M127.999 118.382l11.05 34.01h35.764l-28.932 21.021 11.05 34.012-28.932-21.021-28.933 21.021 11.053-34.012-28.932-21.021h35.762z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Liberia +231</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path d="M0 85.337h512v341.326H0z"></path><path fill="#D80027" d="M0 85.337h512v113.775H0z"></path><path fill="#496E2D" d="M0 312.888h512v113.775H0z"></path><g fill="white"><path d="M281.424 236.026l8.962 12.35 14.513-4.706-8.975 12.339 8.961 12.349-14.509-4.724-8.976 12.34.01-15.258-14.51-4.725 14.514-4.706z"></path><path d="M256.965 286.868c-17.048 0-30.868-13.821-30.868-30.868s13.821-30.868 30.868-30.868a30.742 30.742 0 0114.684 3.71c-6.851-6.698-16.218-10.833-26.556-10.833-20.982 0-37.992 17.01-37.992 37.992s17.01 37.992 37.992 37.992c10.338 0 19.706-4.135 26.556-10.833a30.738 30.738 0 01-14.684 3.708z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Libya +218</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 513 342"><path fill="#D80027" d="M0 0h513v342H0z"></path><path fill="#0052B4" d="M0 0h513v171H0z"></path><path fill="#FFDA44" d="M149.3 98.1c0-14-11.3-25.3-25.3-25.3-6.5 0-12.4 2.4-16.9 6.4V64.4h8.4V47.5h-8.4v-8.4H90.3v8.4h-8.4v16.9h8.4v14.9c-4.5-4-10.4-6.4-16.9-6.4-14 0-25.3 11.3-25.3 25.3 0 7.5 3.3 14.2 8.4 18.8v14.9h84.3V117c5.3-4.7 8.5-11.5 8.5-18.9z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Liechtenstein +423</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#6DA544" d="M0 85.337h512v341.326H0z"></path><path fill="#FFDA44" d="M0 85.337h512v113.775H0z"></path><path fill="#D80027" d="M0 312.888h512v113.775H0z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Lithuania +370</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.337h512v341.326H0z"></path><path fill="#D80027" d="M0 85.337h512v113.775H0z"></path><path fill="#338AF3" d="M0 312.888h512v113.775H0z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Luxembourg +352</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#496E2D" d="M0 85.331h512v341.337H0z"></path><path fill="white" d="M285.682 248.878c-4.19 0-8.166.836-11.861 2.164 2.023-4.509 3.379-9.527 3.379-14.885 0-21.201-21.201-37.101-21.201-37.101s-21.201 15.901-21.201 37.101c0 5.357 1.356 10.375 3.379 14.885-3.693-1.328-7.671-2.164-11.861-2.164-21.201 0-37.101 21.201-37.101 21.201s15.901 21.201 37.101 21.201c12.429 0 23.031-7.286 29.682-13.315 6.65 6.03 17.251 13.315 29.682 13.315 21.201 0 37.101-21.201 37.101-21.201s-15.899-21.201-37.099-21.201z"></path><g fill="#FFDA44"><path d="M256 152.111l4.38 13.476h14.171l-11.464 8.332 4.376 13.476-11.463-8.33-11.463 8.33 4.376-13.476-11.464-8.332h14.171zM202.112 175.683l8.425 7.585 9.818-5.667-4.61 10.355 8.423 7.588-11.274-1.185-4.611 10.355-2.358-11.088-11.275-1.185 9.818-5.669zM162.662 215.132l11.09 2.358 5.668-9.818 1.186 11.274 11.089 2.358-10.357 4.61 1.186 11.274-7.587-8.423-10.357 4.61 5.669-9.818zM309.889 175.683l-8.425 7.585-9.818-5.667 4.611 10.355-8.425 7.588 11.275-1.185 4.61 10.355 2.359-11.088 11.275-1.185-9.818-5.669zM349.338 215.132l-11.089 2.358-5.669-9.818-1.186 11.274-11.088 2.358 10.357 4.61-1.185 11.274 7.586-8.423 10.357 4.61-5.669-9.818z"></path></g><g fill="white"><path d="M256 350.642c16.84 0 32.363-5.619 44.816-15.073h-89.63c12.451 9.454 27.974 15.073 44.814 15.073zM187.977 306.12a74.138 74.138 0 008.85 15.073h118.345a74.13 74.13 0 008.85-15.073H187.977z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Macau +853</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#6DA544" d="M512 426.666V85.329H0v341.337h512z"></path><path fill="#D80027" d="M512 85.331H0v170.666h512V85.331z"></path><path fill="white" d="M0 85.334h181.793v341.337H0z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Madagascar +261</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#D80027" d="M0 85.337h512v341.326H0z"></path><path d="M0 85.337h512v113.775H0z"></path><path fill="#496E2D" d="M0 312.888h512v113.775H0z"></path><path fill="#D80027" d="M307.01 166.957l-20.842-9.804 11.099-20.186-22.634 4.329-2.868-22.864L256 135.248l-15.764-16.816-2.869 22.864-22.633-4.329 11.099 20.186-20.843 9.804z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Malawi +265</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 341.3"><path fill="white" d="M0 0h512v341.3H0z"></path><g fill="#D80027"><path d="M0 42.7h512v42.7H0zM0 128h512v42.7H0zM0 213.3h512V256H0zM0 298.7h512v42.7H0z"></path></g><path fill="#0052B4" d="M0 0h256v170.7H0z"></path><g fill="#FFDA44"><path d="M141.1 134.8c-28 0-45.9-24.8-45.9-49.5 0-24.8 17.9-49.5 45.9-49.5 8.7 0 18.1 1 25.3 4.9-11.2-11-26.6-17.8-43.6-17.8-34.4 0-62.4 27.9-62.4 62.4s27.9 62.4 62.4 62.4c17 0 32.3-6.8 43.6-17.8-7.1 3.9-16.5 4.9-25.3 4.9z"></path><path d="M171 49.7l9 18.8 20.3-4.7-9.1 18.8 16.4 12.9-20.4 4.6.1 20.9-16.3-13.1-16.2 13.1v-20.9l-20.3-4.6 16.3-12.9-9.1-18.8 20.3 4.7z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Malaysia +60</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#D80027" d="M0 85.331h512v341.333H0z"></path><path fill="#6DA544" d="M144.696 174.375h222.609v163.25H144.696z"></path><path fill="white" d="M283.484 304.226c-26.637 0-48.232-21.594-48.232-48.232s21.594-48.232 48.232-48.232c8.306 0 16.12 2.1 22.943 5.797-10.703-10.467-25.341-16.927-41.494-16.927-32.784 0-59.362 26.577-59.362 59.362s26.578 59.362 59.362 59.362c16.154 0 30.791-6.461 41.494-16.927-6.822 3.698-14.636 5.797-22.943 5.797z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Maldives +960</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#FFDA44" d="M0 85.331h512v341.337H0z"></path><path fill="#6DA544" d="M0 85.331h170.663v341.337H0z"></path><path fill="#D80027" d="M341.337 85.331H512v341.337H341.337z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Mali +223</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.331h512v341.326H0z"></path><path fill="#D80027" d="M256 85.331h256v341.337H256z"></path><path fill="#ACABB1" d="M208.231 138.671v-21.334h-21.332v21.334h-21.334v21.332h21.334v21.334h21.332v-21.334h21.334v-21.332z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Malta +356</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#0052B4" d="M0 85.337h512v341.326H0z"></path><g fill="white"><path d="M233.839 185.115l-20.844 9.803 11.1 20.187-22.633-4.33-2.868 22.864-15.765-16.816-15.766 16.816-2.867-22.864-22.634 4.33 11.1-20.187-20.843-9.803 20.843-9.805-11.1-20.185 22.633 4.328 2.869-22.864 15.765 16.816 15.765-16.816 2.868 22.864 22.634-4.328-11.1 20.186zM426.917 85.337L0 421.52v3.762L503.756 85.337z"></path></g><path fill="#FF9811" d="M512 85.337h-8.244L0 425.282v1.381h3.723L512 136.998z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Marshall Islands +692</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#0052B4" d="M0 85.331h512v341.337H0z"></path><g fill="white"><path d="M512 233.734v44.521H278.261v148.402h-44.522V278.255H0v-44.521h233.739V85.331h44.522v148.403z"></path><path d="M386.607 175.885a4.119 4.119 0 014.115-4.114h8.816c13.936 0 25.274-11.337 25.274-25.273 0-13.935-11.337-25.273-25.274-25.273h-8.372c-2.733-2.052-6.399-3.318-10.443-3.318-8.436 0-15.273 5.471-15.273 12.219 0 6.683 6.707 12.104 15.029 12.209l-.003.049h19.062c2.27 0 4.115 1.845 4.115 4.115s-1.845 4.114-4.115 4.114h-8.816c-13.936 0-25.273 11.337-25.273 25.273 0 13.935 11.336 25.273 25.273 25.273h34.09V180h-34.09a4.12 4.12 0 01-4.115-4.115zM108.346 175.885a4.119 4.119 0 014.115-4.114h8.816c13.936 0 25.274-11.337 25.274-25.273 0-13.935-11.337-25.273-25.274-25.273h-8.372c-2.733-2.052-6.399-3.318-10.443-3.318-8.436 0-15.273 5.471-15.273 12.219 0 6.683 6.707 12.104 15.029 12.209l-.003.049h19.062c2.27 0 4.115 1.845 4.115 4.115s-1.845 4.114-4.115 4.114h-8.816c-13.936 0-25.273 11.337-25.273 25.273 0 13.935 11.336 25.273 25.273 25.273h34.09V180h-34.09a4.12 4.12 0 01-4.115-4.115zM386.607 368.809a4.119 4.119 0 014.115-4.114h8.816c13.936 0 25.274-11.337 25.274-25.273 0-13.935-11.337-25.273-25.274-25.273h-8.372c-2.733-2.052-6.399-3.318-10.443-3.318-8.436 0-15.273 5.471-15.273 12.219 0 6.683 6.707 12.104 15.029 12.209l-.003.049h19.062c2.27 0 4.115 1.845 4.115 4.115s-1.845 4.114-4.115 4.114h-8.816c-13.936 0-25.273 11.337-25.273 25.273 0 13.935 11.336 25.273 25.273 25.273h34.09v-21.159h-34.09a4.119 4.119 0 01-4.115-4.115zM108.346 368.809a4.119 4.119 0 014.115-4.114h8.816c13.936 0 25.274-11.337 25.274-25.273 0-13.935-11.337-25.273-25.274-25.273h-8.372c-2.733-2.052-6.399-3.318-10.443-3.318-8.436 0-15.273 5.471-15.273 12.219 0 6.683 6.707 12.104 15.029 12.209l-.003.049h19.062c2.27 0 4.115 1.845 4.115 4.115s-1.845 4.114-4.115 4.114h-8.816c-13.936 0-25.273 11.337-25.273 25.273 0 13.935 11.336 25.273 25.273 25.273h34.09v-21.159h-34.09a4.119 4.119 0 01-4.115-4.115z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Martinique +596</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#496E2D" d="M0 85.331h512v341.337H0z"></path><g fill="#FFDA44"><path d="M256 298.851c-45.956 0-84.348-32.298-93.767-75.429A96.288 96.288 0 00160 243.994c0 53.02 42.979 96 96 96s96-42.98 96-96c0-7.066-.785-13.942-2.233-20.572-9.419 43.131-47.811 75.429-93.767 75.429z"></path><path d="M255.999 171.994l8.935 27.502h28.918l-23.394 16.996 8.936 27.503-23.395-16.998-23.394 16.998 8.937-27.503-23.394-16.996h28.915z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Mauritania +222</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#FFDA44" d="M0 85.331h512v341.326H0z"></path><path fill="#D80027" d="M0 85.331h512v85.337H0z"></path><path fill="#0052B4" d="M0 170.657h512v85.337H0z"></path><path fill="#6DA544" d="M0 341.331h512v85.337H0z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Mauritius +230</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 90 60"><path fill="white" d="M0 0h90v60H0z"></path><path stroke="#7f7f7f" stroke-width=".25" fill="#ABABAB" d="M12.8 38.5s4 1.6 1.2-.5c-2.4-1.7-5 2.4-5 5.1s1.2 7 7.5 7c7.6 0 11.4-5.7 11.4-11.4 0-4.8-3.7-13.5-6.5-14.6-3.1-1.2-6.7-3.5-6.8-5 0-.5 1.4-.1 3.3.9 3.1 1.7 6.6 2.5 6.6 1.4s-2.9-3.1-4-4.6c-1.2-1.6-.9-5.5-3-5.5-7.6 0-9.9 7.7-7 11.7 1.9 2.6-4.3 1-4.3 1s0 5.3 3.2 7.3c3 1.8 4.8 3.9 4.8 3.9s-.2-4.6.5-3.9c.6.7 11.1 4.5 10.3 12-.3 3-4.5 5.4-8.5 5.2-4-.2-6.8-2.4-6.4-5.4.2-4.2 2.7-4.6 2.7-4.6zM77.2 38.5s-4 1.6-1.2-.5c2.4-1.8 5.1 2.3 5.1 5.1s-1.2 7-7.5 7c-7.6 0-11.4-5.7-11.4-11.4 0-4.8 3.7-13.5 6.5-14.6 3.1-1.2 6.7-3.5 6.8-5 0-.5-1.4-.1-3.3.9-3.1 1.7-6.6 2.5-6.6 1.4s2.9-3.1 4-4.6c1.2-1.6.9-5.5 3-5.5 7.6 0 9.9 7.7 7 11.7-1.9 2.6 4.3 1 4.3 1s0 5.3-3.2 7.3c-3 1.8-4.8 3.9-4.8 3.9s.2-4.6-.5-3.9c-.6.7-11.1 4.5-10.3 12 .3 3 4.5 5.4 8.5 5.2 4-.2 6.8-2.4 6.4-5.4-.3-4.2-2.8-4.6-2.8-4.6z"></path><path fill="#DE393A" d="M31 28.8v14c0 1.9 2.1 1.6 2.1 1.6h9.3c1.2 0 2.6 2.3 2.6 2.3s1.4-2.3 2.5-2.3h9.6s2 .2 2-1.8V28.7H31z"></path><path fill="#3951A3" d="M31 13.1h28v15.7H31z"></path><path fill="white" d="M50.1 16.5c-.4 2.4-2.5 4.2-5.1 4.2-2.5 0-4.6-1.8-5.1-4.2-.5.9-.8 1.9-.8 3 0 3.3 2.6 5.9 5.9 5.9 3.3 0 5.9-2.6 5.9-5.9 0-1.1-.3-2.1-.8-3z"></path><circle fill="#FEE05F" cx="39.1" cy="36.5" r="3"></circle><circle fill="#FEE05F" cx="50.9" cy="36.5" r="3"></circle></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Mayotte +262</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#D80027" d="M341.334 85.33H0v341.332h512V85.33z"></path><path fill="#6DA544" d="M0 85.333h170.663V426.67H0z"></path><path fill="white" d="M170.663 85.333h170.663V426.67H170.663z"></path><path fill="#6DA544" d="M208 255.996c0 26.509 21.491 48 48 48s48-21.491 48-48v-16h-96v16z"></path><path fill="#FF9811" d="M320 223.996h-48c0-8.836-7.164-16-16-16s-16 7.164-16 16h-48c0 8.836 7.697 16 16.533 16H208c0 8.836 7.164 16 16 16 0 8.836 7.164 16 16 16h32c8.836 0 16-7.164 16-16 8.836 0 16-7.164 16-16h-.533c8.836 0 16.533-7.163 16.533-16z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Mexico +52</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 341.3"><path fill="#338AF3" d="M0 0h512v341.3H0z"></path><g fill="white"><path d="M256 37.9l10.1 31.2H299l-26.6 19.3 10.2 31.2-26.6-19.3-26.6 19.3 10.2-31.2L213 69.1h32.9zM123.2 170.7l31.2-10.2v-32.8l19.3 26.6 31.2-10.2-19.3 26.6 19.3 26.5-31.2-10.1-19.3 26.5v-32.8zM256 303.5l-10.1-31.2H213l26.6-19.3-10.2-31.3L256 241l26.6-19.3-10.2 31.3 26.6 19.3h-32.9zM388.8 170.7l-31.2 10.1v32.8l-19.3-26.5-31.2 10.1 19.3-26.5-19.3-26.6 31.2 10.2 19.3-26.6v32.8z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Micronesia, Federated States of Micronesia +691</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 513 342"><path fill="#FFDA44" d="M0 0h513v342H0z"></path><path fill="#D80027" d="M342 0h171v342H342z"></path><path fill="#0052B4" d="M0 0h171v342H0z"></path><path fill="#AF7F59" d="M206.2 129.1h33.2L256 79.3l16.6 49.8h33.2v99.6L256 262l-49.8-33.2v-99.7zm33.2 33.3v49.8h33.2v-49.8h-33.2z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Moldova +373</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.34h512v341.326H0z"></path><path fill="#D80027" d="M512 85.334v166.69L0 256.175V85.334z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Monaco +377</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#0052B4" d="M0 85.331h512v341.326H0z"></path><g fill="#A2001D"><path d="M330.207 85.331H512v341.337H330.207zM0 85.331h181.793v341.337H0z"></path></g><g fill="#FFDA44"><path d="M113.163 267.125h14.84v59.359h-14.84zM53.793 267.125h14.84v59.359h-14.84z"></path><circle cx="90.902" cy="289.386" r="14.84"></circle><circle cx="90.902" cy="237.44" r="7.421"></circle><path d="M76.054 311.647h29.682v14.84H76.054zM76.054 252.288h29.682v14.84H76.054zM90.897 185.502l5.255 16.173h17.006l-13.757 9.996 5.252 16.173-13.756-9.996-13.756 9.996 5.251-16.173-13.756-9.996h17.005z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Mongolia +976</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#FFDA44" d="M0 85.337h512v341.326H0z"></path><path fill="#A2001D" d="M0 115.011h512v281.978H0z"></path><g fill="#FFDA44"><path d="M218.899 211.478h74.202v-29.681l-14.84 7.42L256 166.957l-22.261 22.26-14.84-7.42zM322.783 256h-37.088a17 17 0 002.3-8.543c0-9.458-7.668-17.124-17.124-17.124-6.534 0-12.209 3.661-15.096 9.041-2.887-5.38-8.562-9.041-15.096-9.041-9.456 0-17.124 7.666-17.124 17.124 0 3.114.846 6.026 2.3 8.543h-36.636c0 11.349 9.885 20.549 21.232 20.549h-.685c0 9.31 6.192 17.168 14.68 19.694l-16.678 16.678 15.741 15.741 22.329-22.329c.875.321 1.78.577 2.714.752l-13.492 30.464c6.466 2.629 13.531 4.088 20.941 4.088s14.475-1.46 20.941-4.088l-13.492-30.464a17.108 17.108 0 002.714-.752l22.329 22.329 15.741-15.741-16.678-16.678c8.488-2.526 14.68-10.385 14.68-19.694h-.685c11.347 0 21.232-9.2 21.232-20.549z"></path></g><path fill="#6DA544" d="M256 267.13l-24.116 11.131v22.261L256 315.362l24.116-14.84v-22.261z"></path><path fill="#0052B4" d="M231.88 256h48.228v29.682H231.88z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Montenegro +382</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#0052B4" d="M0 85.333h512V426.67H0z"></path><path fill="#338AF3" d="M334.222 191.996v78.221c0 38.103 49.777 49.779 49.777 49.779s49.778-11.675 49.778-49.779v-78.221h-99.555z"></path><path fill="#A2001D" d="M334.222 270.217c0 38.103 49.777 49.779 49.777 49.779s49.778-11.675 49.778-49.779h-99.555z"></path><path d="M405.334 227.552H391.11v-14.223h-14.222v14.223h-14.222v14.223h14.222v42.665h14.222v-42.665h14.224z"></path><path fill="white" d="M256 85.333v30.553l-45.167 25.099H256v59.359h-59.103L256 233.179v22.817h-26.68l-73.494-40.826v40.826h-55.652v-48.573l-87.43 48.573H0v-30.554l45.167-25.098H0v-59.359h59.103L0 108.139V85.333h26.68l73.494 40.825V85.333h55.652v48.572l87.43-48.572z"></path><path fill="#D80027" d="M144 85.33h-32v69.332H0v32h112v69.334h32v-69.334h112v-32H144z"></path><path fill="#0052B4" d="M155.826 200.344L256 255.996v-15.737l-71.847-39.915z"></path><path fill="white" d="M155.826 200.344L256 255.996v-15.737l-71.847-39.915z"></path><g fill="#D80027"><path d="M155.826 200.344L256 255.996v-15.737l-71.847-39.915zM71.846 200.344L0 240.259v15.737l100.174-55.652z"></path></g><path fill="#0052B4" d="M100.174 140.982L0 85.33v15.737l71.847 39.915z"></path><path fill="white" d="M100.174 140.982L0 85.33v15.737l71.847 39.915z"></path><g fill="#D80027"><path d="M100.174 140.982L0 85.33v15.737l71.847 39.915zM184.154 140.982L256 101.067V85.33l-100.174 55.652z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Montserrat +1664</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#D80027" d="M0 85.337v341.326h512V85.337z"></path><path fill="#20661b" d="M352 226.484h-73.337L256 156.738l-22.663 69.748H160l59.331 43.107-22.663 69.749L256 296.232l59.332 43.107-22.663-69.749L352 226.484zm-116.063 37.711l7.663-23.585h24.8l7.663 23.585v.001L256 278.772l-20.063-14.577zm27.873-37.711h-15.619L256 202.447l7.81 24.037zm24.269 28.982l-4.827-14.856h25.274l-20.447 14.856zm-59.331-14.856l-4.827 14.856-20.447-14.856h25.274zm-5.211 61.748l7.81-24.036 12.636 9.181-20.446 14.855zm44.479-14.856l12.636-9.181 7.81 24.036-20.446-14.855z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Morocco +212</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.337h512v341.326H0z"></path><path fill="#FFDA44" d="M0 322.783h512v103.88H0z"></path><path fill="#496E2D" d="M0 85.337h512v104.515H0z"></path><path d="M0 210.877h512v89.656H0z"></path><path fill="#A2001D" d="M256 256.006L0 426.668V85.331z"></path><path fill="#FFDA44" d="M83.477 195.132l15.107 46.498h48.894l-39.554 28.739 15.107 46.499-39.554-28.738-39.555 28.738 15.11-46.499-39.554-28.739H68.37z"></path><path fill="white" d="M39.268 256h88.42v40.578h-88.42z"></path><path d="M144.443 209.479l-14.347-14.347-46.618 46.618-46.617-46.618-14.347 14.347 46.658 46.577-46.658 46.658 14.347 14.154 46.617-46.534 46.618 46.534 14.347-14.154-46.659-46.658z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Mozambique +258</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#6DA544" d="M0 85.337h512v341.326H0z"></path><path fill="#FFDA44" d="M0 85.337h512v113.775H0z"></path><path fill="#D80027" d="M0 312.888h512v113.775H0z"></path><path fill="white" d="M384 227.261h-97.783L256 134.265l-30.217 92.997H128l79.108 57.475-30.217 92.998L256 320.925l79.108 56.81-30.217-92.998L384 227.261z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Myanmar +95</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#496E2D" d="M0 85.337h512v341.326H0z"></path><path fill="#0052B4" d="M0 426.663V85.337h512"></path><path fill="white" d="M512 152.222V85.337H411.67L0 359.778v66.885h100.33z"></path><path fill="#A2001D" d="M512 85.337v40.125L60.193 426.663H0v-40.125L451.807 85.337z"></path><path fill="#FFDA44" d="M187.737 189.212l-22.741 10.696 12.11 22.024-24.693-4.724-3.129 24.945-17.199-18.347-17.2 18.347-3.129-24.945-24.693 4.723 12.109-22.023-22.739-10.696 22.74-10.697-12.11-22.022 24.693 4.722 3.13-24.944 17.199 18.347 17.2-18.347 3.128 24.944 24.693-4.722-12.108 22.024z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Namibia +264</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#0052B4" d="M0 85.337h512v341.326H0z"></path><path fill="#FFDA44" d="M0 239.994h512v32H0z"></path><path fill="white" d="M174.802 341.329l-19.124 8.996 10.184 18.521-20.767-3.973-2.631 20.978L128 370.422l-14.465 15.429-2.63-20.978-20.767 3.973 10.183-18.521-19.123-8.996 19.124-8.995-10.184-18.52 20.766 3.971 2.632-20.978L128 312.236l14.465-15.429 2.63 20.978 20.767-3.971-10.183 18.521z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Nauru +674</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.337h512v341.326H0z"></path><path fill="#0052B4" d="M0 426.663V85.337l280.419 174.75H87.61l183.576 166.576z"></path><path fill="#D80027" d="M244.769 249.888L10.199 103.71v312.754h234.57L61.193 249.888z"></path><g fill="white"><path d="M98.003 324.433l-14.589-6.863 7.77-14.13-15.844 3.03-2.008-16.005-11.035 11.772-11.036-11.772-2.008 16.005-15.843-3.031 7.77 14.131-14.591 6.863 14.591 6.862-7.77 14.13 15.844-3.029 2.007 16.004 11.036-11.772L73.332 358.4l2.008-16.004 15.843 3.03-7.769-14.13zM88.268 191.662l-10.612-4.991 5.651-10.278-11.523 2.205-1.461-11.641-8.026 8.561-8.026-8.561-1.46 11.641-11.525-2.205 5.652 10.278-10.613 4.991 25.972 5.194z"></path><path d="M93.462 191.662c0 17.212-13.953 31.165-31.165 31.165s-31.165-13.953-31.165-31.165"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Nepal +977</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.337h512v341.326H0z"></path><path fill="#A2001D" d="M0 85.337h512v113.775H0z"></path><path fill="#0052B4" d="M0 312.888h512v113.775H0z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Netherlands +31</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 640 426.7"><path fill="#009543" d="M0 293h640v133.7H0V293z"></path><path fill="#ED4135" d="M0 132h640v161.3H0V132z"></path><path fill="#0035AD" d="M0 0h640v133.3H0V0z"></path><circle fill="#FAE600" stroke="black" stroke-width="5.3" cx="240" cy="213.3" r="157.3"></circle><path d="M307.9 354.5l-31.8 12-36.1 4.2-37.8-2.4-35.9-15.5s28.6-29.3 40.7-33.5c8.6-3 22.4-3.7 22.4-3.7V122l-.3-66H246l-.5 67.5v191.7s15.3 1.2 22.1 4.1c11.3 4.9 40.3 35.2 40.3 35.2z"></path><path d="M212.727 102.375l42.955-21.418 5.577 11.187-42.955 21.417z"></path><ellipse cx="237.8" cy="280.5" rx="16.8" ry="26.5"></ellipse><circle cx="237.4" cy="143.4" r="20.9"></circle><ellipse cx="238.4" cy="211.1" rx="19.9" ry="12.1"></ellipse><path d="M213.8 177h47v10h-47zM213.8 234h47v10h-47z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">New Caledonia +687</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.337h512v341.326H0z"></path><g fill="#338AF3"><path d="M0 85.337h512v113.775H0zM0 312.888h512v113.775H0z"></path></g><path fill="#FFDA44" d="M256 214.447c-22.949 0-41.553 18.603-41.553 41.553S233.05 297.553 256 297.553c22.949 0 41.553-18.603 41.553-41.553S278.949 214.447 256 214.447zm0 65.298c-13.114 0-23.745-10.631-23.745-23.745s10.631-23.745 23.745-23.745 23.745 10.631 23.745 23.745-10.631 23.745-23.745 23.745z"></path><path fill="#0052B4" d="M276.563 261.936L256 256l-20.563 5.936-6.855 11.873h54.836z"></path><path fill="#338AF3" d="M256 226.32l-13.709 23.744L256 256l13.709-5.936z"></path><path fill="#6DA544" d="M235.437 261.936h41.126l-6.854-11.872h-27.418z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Nicaragua +505</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.337h512v341.326H0z"></path><path fill="#FF9811" d="M0 85.337h512v113.775H0z"></path><path fill="#6DA544" d="M0 312.888h512v113.775H0z"></path><circle fill="#FF9811" cx="256" cy="256" r="32"></circle></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Niger +227</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.331h512v341.337H0z"></path><g fill="#6DA544"><path d="M0 85.331h170.663v341.337H0zM341.337 85.331H512v341.337H341.337z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Nigeria +234</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#FFDA44" d="M0 85.334h512v341.337H0z"></path><path fill="white" d="M0 85.334h256v170.663H0z"></path><g fill="#D80027"><path d="M144 85.33h-32v69.333H0v32h112v69.334h32v-69.334h112v-32H144z"></path><path d="M0 85.329v15.083l57.377 38.251H80z"></path></g><g fill="#2E52B2"><path d="M0 107.951v30.712h46.069zM96 85.331v48.913L22.628 85.331z"></path></g><path fill="#D80027" d="M256 85.329v15.083l-57.377 38.251H176z"></path><g fill="#2E52B2"><path d="M256 107.951v30.712h-46.069zM160 85.331v48.913l73.372-48.913z"></path></g><path fill="#D80027" d="M0 85.329v15.083l57.377 38.251H80z"></path><g fill="#2E52B2"><path d="M0 107.951v30.712h46.069zM96 85.331v48.913L22.628 85.331z"></path></g><path fill="#D80027" d="M256 85.329v15.083l-57.377 38.251H176z"></path><g fill="#2E52B2"><path d="M256 107.951v30.712h-46.069zM160 85.331v48.913l73.372-48.913z"></path></g><path fill="#D80027" d="M0 255.997v-15.082l57.377-38.252H80z"></path><g fill="#2E52B2"><path d="M0 233.376v-30.713h46.069zM96 255.994v-48.912l-73.372 48.912z"></path></g><path fill="#D80027" d="M256 255.997v-15.082l-57.377-38.252H176z"></path><g fill="#2E52B2"><path d="M256 233.376v-30.713h-46.069zM160 255.994v-48.912l73.372 48.912z"></path><circle cx="128" cy="170.66" r="22.627"></circle></g><g fill="#FFDA44"><path d="M128 154.663l3.97 12.222h12.854l-10.398 7.556 3.971 12.222L128 179.109l-10.398 7.554 3.972-12.222-10.398-7.556h12.853zM128 219.803l2.364 7.278h7.653l-6.19 4.498 2.364 7.278-6.191-4.498-6.191 4.498 2.364-7.278-6.19-4.498h7.652zM128 102.469l2.364 7.278h7.653l-6.19 4.498 2.364 7.278-6.191-4.498-6.191 4.498 2.364-7.278-6.19-4.498h7.652zM197.931 161.136l2.365 7.277h7.653l-6.192 4.499 2.365 7.279-6.191-4.498-6.191 4.498 2.365-7.279-6.191-4.499h7.652zM58.069 161.136l2.364 7.277h7.653l-6.191 4.499 2.364 7.279-6.19-4.498-6.191 4.498 2.365-7.279-6.192-4.499h7.653z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Niue +683</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.331h512v341.337H0z"></path><g fill="#6DA544"><path d="M0 85.331h170.663v341.337H0zM341.337 85.331H512v341.337H341.337zM304 311.995l-48-152.001-48 152.001h36v39.999h24v-39.999z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Norfolk Island +672</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#FFDA44" d="M0 85.333h512V426.67H0z"></path><g fill="#D80027"><path d="M383.875 426.662L256 252.286l26.827 174.376zM133.565 85.33L256 252.286 230.314 85.33zM229.171 426.662L256 252.286 128.124 426.662zM0 85.33V212.9l256 39.386L28.333 85.33zM0 426.662h18.212L256 252.286 0 291.67zM256 252.286L512 212.9V85.33h-28.331zM281.686 85.33L256 252.286 378.434 85.33zM512 426.662V291.671l-256-39.385 237.787 174.376z"></path><circle cx="256" cy="252.29" r="59.359"></circle></g><circle fill="#FFDA44" cx="256" cy="252.29" r="44.522"></circle></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">North Macedonia +389</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 750 500"><path fill="#0071BC" d="M0 0h750v500H0V0z"></path><g fill="white" stroke="black" stroke-width="1.9"><circle cx="375" cy="245" r="225" fill="white"></circle><circle cx="375" cy="245" r="165" fill="#0071BC"></circle></g><g stroke="black"><path fill="#8C8A8C" stroke-width="1.9" d="M444.7 450c.7 11-7.8 20-18.8 20H323.6c-11 0-19.5-9-19-20l16.7-325c.6-11 10-20 21-20h61.4c11 0 20.5 9 21.2 20l19.8 325z"></path><path fill="white" stroke-width="2" stroke-linejoin="round" d="M373 114l30 93h97l-78 56 29 92-78-56-78 57 30-93-79-57h97l30-92z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Northern Mariana Islands +1670</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#D80027" d="M0 85.334h512v341.337H0z"></path><path fill="white" d="M512 295.883H202.195v130.783H122.435V295.883H0V216.111h122.435V85.329H202.195v130.782H512V277.329z"></path><path fill="#2E52B2" d="M512 234.666v42.663H183.652v149.337h-42.674V277.329H0v-42.663h140.978V85.329h42.674v149.337z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Norway +47</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><g fill="#D80027"><path d="M0 85.331h512v341.326H0z"></path><path d="M0 85.331h512v341.337H0z"></path></g><g fill="white"><path d="M189.746 160.439l-15.739-15.741-10.494 10.494-10.493-10.494-15.741 15.741 10.494 10.493-10.495 10.494 15.74 15.741 10.494-10.494 10.495 10.494 15.739-15.741-10.494-10.494zM211.478 85.331H512v111.315H211.478z"></path></g><path fill="#6DA544" d="M211.478 315.353H512v111.304H211.478z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Oman +968</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><g fill="white"><path d="M393.508 170.516l17.512 18.875 23.363-10.821-12.541 22.487 17.513 18.876-25.263-4.978-12.539 22.488-3.073-25.564-25.263-4.978 23.363-10.82z"></path><path d="M0 85.343h512v341.326H0z"></path></g><path fill="#496E2D" d="M128 85.331h384v341.337H128z"></path><g fill="white"><path d="M361.909 298.793c-31.037 22.426-74.378 15.446-96.804-15.592-22.427-31.038-15.446-74.379 15.593-96.804 9.677-6.992 20.55-11.125 31.613-12.563-21.283-3.183-43.777 1.613-62.598 15.211-38.2 27.602-46.792 80.944-19.191 119.145 27.601 38.199 80.944 46.792 119.145 19.189 18.82-13.598 30.436-33.448 34.096-54.655-4.839 10.05-12.176 19.076-21.854 26.069zM360.58 172.889l17.484 18.842 23.322-10.802-12.519 22.447 17.483 18.844-25.219-4.968-12.519 22.45-3.067-25.521-25.22-4.969 23.323-10.802z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Pakistan +92</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#338AF3" d="M0 85.331h512v341.337H0z"></path><circle fill="#FFDA44" cx="218.902" cy="255.994" r="74.207"></circle></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Palau +680</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.337h512v341.326H0z"></path><path d="M0 85.337h512v113.775H0z"></path><path fill="#6DA544" d="M0 312.888h512v113.775H0z"></path><path fill="#D80027" d="M256 256.006L0 426.668V85.331z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Palestine +970</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path d="M0 85.333h512V426.67H0z"></path><path fill="#A2001D" d="M0 85.33h512v341.332"></path><g fill="white"><path d="M204.631 326.488l2.762 8.504h8.941l-7.233 5.255 2.763 8.502-7.233-5.254-7.233 5.254 2.762-8.502-7.233-5.255h8.94zM181.797 244.866l4.605 14.172h14.901l-12.056 8.757 4.605 14.172-12.055-8.759-12.055 8.759 4.606-14.172-12.056-8.757h14.901zM181.797 348.749l4.604 14.173h14.902l-12.057 8.757 4.606 14.173-12.055-8.759-12.055 8.759 4.604-14.173-12.054-8.757h14.899zM225.363 281.967l4.606 14.172h14.901l-12.056 8.758 4.605 14.172-12.056-8.759-12.054 8.759 4.606-14.172-12.056-8.758h14.901zM138.23 281.967l4.606 14.172h14.899l-12.054 8.758 4.603 14.172-12.054-8.759-12.055 8.759 4.605-14.172-12.055-8.758h14.9z"></path></g><path fill="#FFDA44" d="M376.526 204.163c-7.628-7.628-17.538-12.133-28.189-12.908l31.88-24.795c-12.698-12.698-29.714-18.431-46.319-17.218a44.31 44.31 0 00-11.396-19.511l-12.593 25.186a18.47 18.47 0 00-3.148-4.197c-7.245-7.245-18.991-7.244-26.234 0s-7.245 18.99 0 26.234a18.536 18.536 0 004.197 3.148l-25.186 12.593a44.303 44.303 0 0019.519 11.399c-1.217 16.606 4.511 33.619 17.209 46.317L324.12 214.6a11.053 11.053 0 017.807-3.202c2.973 0 5.768 1.158 7.87 3.26a11.055 11.055 0 013.26 7.87c0 2.974-1.158 5.768-3.26 7.87l10.494 10.494c4.905-4.905 7.607-11.428 7.607-18.364 0-5.675-1.81-11.071-5.153-15.534a29.492 29.492 0 0113.288 7.662c11.573 11.572 11.573 30.403 0 41.975l10.494 10.494c8.409-8.409 13.039-19.59 13.039-31.481-.001-11.892-4.632-23.072-13.04-31.481z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Papua New Guinea +675</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.337h512v341.326H0z"></path><path fill="#D80027" d="M0 85.337h512v113.775H0z"></path><path fill="#0052B4" d="M0 312.888h512v113.775H0z"></path><path fill="#6DA544" d="M289.579 216.738l-12.592 12.592c5.37 5.372 8.693 12.792 8.693 20.988 0 16.392-13.289 29.68-29.68 29.68-16.392 0-29.68-13.289-29.68-29.68 0-8.195 3.322-15.616 8.693-20.988l-12.592-12.592c-8.594 8.594-13.91 20.466-13.91 33.579 0 26.228 21.261 47.489 47.489 47.489s47.489-21.261 47.489-47.489c0-13.112-5.316-24.985-13.91-33.579z"></path><path fill="#FFDA44" d="M256 232.51l4.421 13.605h14.304l-11.573 8.408 4.421 13.604L256 259.719l-11.573 8.408 4.421-13.604-11.573-8.408h14.304z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Paraguay +595</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.331h512v341.326H0z"></path><g fill="#D80027"><path d="M0 85.331h170.663v341.337H0zM341.337 85.331H512v341.337H341.337z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Peru +51</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.337h512v341.326H0z"></path><path fill="#0052B4" d="M512 85.337V256H256L0 85.337z"></path><path fill="#D80027" d="M512 256v170.663H0L256 256z"></path><g fill="#FFDA44"><path d="M161.908 256l-27.288-12.835 14.532-26.428-29.632 5.668-3.755-29.933-20.64 22.015-20.639-22.015-3.755 29.933-29.631-5.669 14.531 26.428L28.343 256l27.288 12.835L41.1 295.263l29.633-5.668 3.753 29.933 20.639-22.015 20.64 22.015 3.755-29.933 29.631 5.669-14.532-26.427zM21.789 117.607l9.081 12.696 14.879-4.714-9.268 12.56 9.081 12.694-14.809-4.932-9.268 12.559.117-15.608-14.809-4.934 14.88-4.712zM21.789 353.53l9.081 12.696 14.879-4.714-9.268 12.56 9.081 12.695-14.809-4.933-9.268 12.558.117-15.607-14.809-4.934 14.88-4.712zM210.395 235.569l-9.081 12.695-14.879-4.713 9.268 12.559-9.081 12.696 14.809-4.933 9.268 12.558-.117-15.607 14.809-4.934-14.88-4.713z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Philippines +63</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#0052B4" d="M0 85.333h512V426.67H0z"></path><path fill="#ACABB1" d="M400.696 219.822L384 225.387l-16.696-5.565-5.565-13.913 5.565-13.913h33.392l-5.566 13.913z"></path><path fill="#338AF3" d="M345.043 219.822v61.217c0 29.821 38.957 38.957 38.957 38.957s38.957-9.137 38.957-38.957v-61.217h-77.914z"></path><path fill="#6DA544" d="M348.555 295.541C358.131 313.927 384 319.996 384 319.996s25.869-6.069 35.445-24.455L384 236.518l-35.445 59.023z"></path><path fill="#FFDA44" d="M422.957 280.421L384 219.822l-38.957 60.599v.618c0 5.518 1.337 10.328 3.512 14.503L384 240.405l35.445 55.137c2.175-4.175 3.512-8.983 3.512-14.503v-.618z"></path><path fill="white" d="M256 85.333v30.553l-45.167 25.099H256v59.359h-59.103L256 233.179v22.817h-26.68l-73.494-40.826v40.826h-55.652v-48.573l-87.43 48.573H0v-30.554l45.167-25.098H0v-59.359h59.103L0 108.139V85.333h26.68l73.494 40.825V85.333h55.652v48.572l87.43-48.572z"></path><path fill="#D80027" d="M144 85.33h-32v69.332H0v32h112v69.334h32v-69.334h112v-32H144z"></path><path fill="#0052B4" d="M155.826 200.344L256 255.996v-15.737l-71.847-39.915z"></path><path fill="white" d="M155.826 200.344L256 255.996v-15.737l-71.847-39.915z"></path><g fill="#D80027"><path d="M155.826 200.344L256 255.996v-15.737l-71.847-39.915zM71.846 200.344L0 240.259v15.737l100.174-55.652z"></path></g><path fill="#0052B4" d="M100.174 140.982L0 85.33v15.737l71.847 39.915z"></path><path fill="white" d="M100.174 140.982L0 85.33v15.737l71.847 39.915z"></path><g fill="#D80027"><path d="M100.174 140.982L0 85.33v15.737l71.847 39.915zM184.154 140.982L256 101.067V85.33l-100.174 55.652z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Pitcairn +872</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><g fill="white"><path d="M0 85.337h512v341.326H0z"></path><path d="M0 85.337h512V256H0z"></path></g><path fill="#D80027" d="M0 256h512v170.663H0z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Poland +48</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#D80027" d="M0 85.337h512v341.326H0z"></path><path fill="#6DA544" d="M196.641 85.337v341.326H0V85.337z"></path><circle fill="#FFDA44" cx="196.641" cy="256" r="64"></circle><path fill="#D80027" d="M160.638 224v40.001c0 19.882 16.118 36 36 36s36-16.118 36-36V224h-72z"></path><path fill="white" d="M196.638 276c-6.617 0-12-5.383-12-12v-16h24.001v16c-.001 6.616-5.385 12-12.001 12z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Portugal +351</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.337h512v341.326H0z"></path><g fill="#D80027"><path d="M0 85.337h512V153.6H0zM0 221.863h512v68.263H0zM0 358.4h512v68.263H0z"></path></g><path fill="#0052B4" d="M256 256.006L0 426.668V85.331z"></path><path fill="white" d="M83.477 195.132l15.107 46.498h48.894l-39.554 28.739 15.107 46.499-39.554-28.738-39.555 28.738 15.11-46.499-39.554-28.739H68.37z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Puerto Rico +1939</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#751A46" d="M2.216 86.076H512v339.848H2.216z"></path><path fill="white" d="M209.455 154.969l-50.236 25.267 50.236 25.257-50.236 25.267 50.236 25.257-50.236 25.266 50.236 25.257-50.236 25.268 50.236 25.257-50.236 25.267 50.236 25.268-36.45 18.33H0V86.07h172.939l36.516 18.364-50.236 25.267z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Qatar +974</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 26.666 640 426.666"><g fill-rule="evenodd" stroke-width="1pt"><path fill="white" d="M0 0h640v480H0z"></path><path fill="#00267f" d="M0 0h213.3v480H0z"></path><path fill="#f31830" d="M426.7 0H640v480H426.7z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Reunion +262</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#FFDA44" d="M0 85.331h512v341.326H0z"></path><path fill="#0052B4" d="M0 85.331h170.663v341.337H0z"></path><path fill="#D80027" d="M341.337 85.331H512v341.337H341.337z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Romania +40</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.33v341.332h512V85.33z"></path><path fill="#0052B4" d="M0 85.333h512V426.67H0z"></path><path fill="white" d="M0 85.333h512v113.775H0z"></path><path fill="#D80027" d="M0 312.884h512v113.775H0z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Russia +7</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#338AF3" d="M0 85.331h512v341.337H0z"></path><path fill="#FFDA44" d="M0 255.994h512v81.619H0z"></path><path fill="#496E2D" d="M0 337.614h512v89.043H0z"></path><path fill="#FFDA44" d="M278.261 185.209l20.844 9.804-11.099 20.186 22.632-4.33 2.868 22.865 15.765-16.816 15.766 16.816 2.867-22.865 22.633 4.33-11.099-20.186 20.843-9.804-20.844-9.805 11.1-20.185-22.633 4.329-2.868-22.864-15.765 16.816-15.766-16.816-2.867 22.864-22.634-4.329 11.1 20.187z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Rwanda +250</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 341.33"><path fill="white" d="M0 0h512v341.33H0z"></path><path fill="#E6BC00" d="M157.31 199.76s-9.04 43.93-19.31 40.39c-10.62-3.54-17.53-18.76-17.53-18.76l-14.52 21.24s38.18 8.48 41.01 5.47c1.22-1.14 8.21-15.1 10.34-26.05v-22.29zm-56.13 60.57s-2.48 20.18-1.06 22.66c1.24 2.3 39.48 11.33 39.48 11.33s-24.96 16.46-29.74 20.54L91.8 284.94l-.71-24.61h10.09zM112.51 94.64s39.65 41.6 40.36 45.5c.71 3.72-4.25 3.19-4.25 3.19s-44.79-37.53-49.92-41.07c-5.31-3.55 13.81-7.62 13.81-7.62z"></path><path fill="#ADADAD" d="M99.41 104.73s16.99-.71 16.64-11.51c-.35-10.62-11.15-14.87-19.12-12.39-7.97 2.3-23.01 13.45-13.63 35.05 9.38 21.42 23.37 29.39 26.2 47.8 0 0-5.46 9.86-19.12.35-16.9-11.77-6.2-38.24-10.44-44.96-4.25-7.08-40.95-38.92-40.95-38.92s-30.24 39.37-18 74.92c16.95 49.21 51.74 31.98 64.61 36.76 0 0-42.13 61.96-49.57 67.09 0 0 24.08 8.32 47.8-18.76 0 0 5.84 9.74 7.08 20.18h10.27c4.78-26.2 51.51-64.26 49.92-82.32-1.77-21.25-49.21-49.39-51.69-73.29z"></path><path fill="#E6BC00" d="M359.17 201.27s8.96 42.43 19.23 38.89c10.62-3.54 17.53-18.76 17.53-18.76l14.52 21.24s-37 8.48-39.83 5.47c-1.21-1.14-9.32-13.79-11.52-24.66l.07-22.18zm56.05 59.06s2.48 20.18 1.06 22.66c-1.24 2.3-39.48 11.33-39.48 11.33s24.96 16.46 29.74 20.54l18.06-29.92.71-24.61h-10.09zM403.89 94.64s-39.65 41.6-40.36 45.5c-.71 3.72 4.25 3.19 4.25 3.19s44.79-37.53 49.92-41.07c5.14-3.55-13.81-7.62-13.81-7.62z"></path><path fill="#125ECC" d="M157.31 87.06H359.1v145.46c0 16.06-9.69 21.39-21.91 31.85l-45.92 39.41c-18.25 15.62-47.91 15.57-66.07 0l-46.01-39.43c-12.08-10.35-21.88-15.71-21.88-31.82V87.06z"></path><path fill="#FFE600" d="M200.55 147.71c-7.96 0-14.41-6.45-14.41-14.41s6.45-14.41 14.41-14.41 14.41 6.45 14.41 14.41-6.45 14.41-14.41 14.41zm57.65-3c-7.96 0-14.41-6.45-14.41-14.41s6.45-14.41 14.41-14.41 14.41 6.45 14.41 14.41-6.45 14.41-14.41 14.41zm57.65 3c-7.96 0-14.41-6.45-14.41-14.41s6.45-14.41 14.41-14.41 14.41 6.45 14.41 14.41-6.45 14.41-14.41 14.41zM214.96 274.43c-7.96 0-14.41-6.45-14.41-14.41s6.45-14.41 14.41-14.41 14.41 6.45 14.41 14.41c.01 7.96-6.45 14.41-14.41 14.41zm43.24 14.42c-7.96 0-14.41-6.45-14.41-14.41s6.45-14.41 14.41-14.41 14.41 6.45 14.41 14.41c0 7.95-6.45 14.41-14.41 14.41zm43.24-14.42c-7.96 0-14.41-6.45-14.41-14.41s6.45-14.41 14.41-14.41 14.41 6.45 14.41 14.41-6.45 14.41-14.41 14.41z"></path><path fill="#D60537" d="M157.31 175.36H359.1v57.65H157.31v-57.65z"></path><path fill="#EACE00" d="M142.9 43.82s57.65-14.41 115.31-14.41 115.31 14.41 115.31 14.41l-14.41 57.65s-50.45-14.41-100.89-14.41-100.89 14.41-100.89 14.41L142.9 43.82z"></path><path fill="#7A6920" d="M258.2 72.65c-7.96 0-14.41-6.45-14.41-14.41s6.45-14.41 14.41-14.41 14.41 6.45 14.41 14.41-6.45 14.41-14.41 14.41zm57.65 5c-7.96 0-14.41-6.45-14.41-14.41s6.45-14.41 14.41-14.41 14.41 6.45 14.41 14.41-6.45 14.41-14.41 14.41zm-115.3 0c-7.96 0-14.41-6.45-14.41-14.41s6.45-14.41 14.41-14.41 14.41 6.45 14.41 14.41-6.45 14.41-14.41 14.41z"></path><path fill="#ADADAD" d="M365.08 178.02c-1.59 18.06 45.14 56.12 49.92 82.32h10.27c1.24-10.44 7.08-20.18 7.08-20.18 23.72 27.09 47.8 18.76 47.8 18.76-7.44-5.13-49.57-67.09-49.57-67.09 12.88-4.78 47.67 12.45 64.61-36.76 12.24-35.55-18-74.92-18-74.92s-36.7 31.84-40.95 38.92c-4.25 6.73 6.46 33.2-10.44 44.96-13.66 9.51-19.12-.35-19.12-.35 2.83-18.41 16.82-26.38 26.2-47.8 9.38-21.6-5.66-32.75-13.63-35.05-7.97-2.48-18.76 1.77-19.12 12.39-.35 10.8 16.64 11.51 16.64 11.51-2.48 23.9-49.92 52.04-51.69 73.29z"></path><circle fill="white" cx="258.2" cy="204.19" r="16.93"></circle></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Saint Barthelemy +590</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 341.3"><path fill="#0052B4" d="M0 0h512v341.3H0z"></path><path fill="white" d="M256 0v117.4h-46.1l46.1 30.7v22.6h-22.6L160 121.8v48.9H96v-48.9l-73.4 48.9H0v-22.6l46.1-30.7H0v-64h46.1L0 22.7V0h22.6L96 48.9V0h64v48.9L233.4 0z"></path><g fill="#D80027"><path d="M144 0h-32v69.4H0v32h112v69.3h32v-69.3h112v-32H144z"></path><path d="M0 0v15.1l57.4 38.3H80zM256 0v15.1l-57.4 38.3H176z"></path></g><path fill="#2E52B2" d="M256 22.7v30.7h-46.1z"></path><g fill="#D80027"><path d="M0 0v15.1l57.4 38.3H80zM256 0v15.1l-57.4 38.3H176z"></path></g><path fill="#2E52B2" d="M256 22.7v30.7h-46.1z"></path><g fill="#D80027"><path d="M0 170.7v-15.1l57.4-38.2H80zM256 170.7v-15.1l-57.4-38.2H176z"></path></g><path fill="#29DBFF" d="M449 139.7c-.1 44.4-7.2 92.1-65 114.9-57.8-22.8-64.9-70.5-65-114.9h130z"></path><path fill="#ffda44" d="M449 139.7c0-16.7-.9-32.9-.5-47.1C426.9 83 398.4 81 383.9 81s-42.9 2-64.6 11.6c.4 14.2-.5 30.4-.5 47.1H449z"></path><path fill="#BF521B" d="M369.5 204.5l.3 10.3-12.8.2 4.9 13.2h-17.3c-18-20.2-23.4-42.4-24.9-68.1l9.1-9.7 8.3 14.3 10.8-12.8 7 7.8.8 15.7 13.8 29.1z"></path><path fill="#474747" d="M436.6 192.5l-8.6 18.3h-47l-29.2-19.5 25.7 10.5h25.1l3.7-6.5 7.2.2 2-3z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Saint Helena, Ascension and Tristan Da Cunha +290</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 513 342"><path fill="#D80027" d="M0 0h513v342H0z"></path><path fill="#6DA544" d="M512 0H0v342"></path><path fill="#FFDA44" d="M307.7 0L0 194.5V342h206.9L513 148.5V0z"></path><path d="M513 0H385.2L0 249.4V341l126.2 1L513 91.6z"></path><g fill="white"><path d="M141.1 187l31.2 24 32.3-22.2-13.1 37 31.1 23.9-39.2-1.1-13.2 37-11.1-37.6-39.2-1.1 32.3-22.2zM310.6 70.8l31.2 23.9 32.3-22.2-13.1 37 31.1 23.9-39.2-1.1-13.2 37-11.1-37.6-39.2-1.1 32.4-22.2z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Saint Kitts and Nevis +1869</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 513 342"><path fill="#55B2FF" d="M0 0h513v342H0z"></path><path fill="#F3F3F3" d="M148.5 298.1h216l-108-254.2z"></path><path fill="#333" d="M186 272.7l70.5-160.3L327 272.7z"></path><path fill="#FFDA44" d="M148.5 298.1h216l-108-101.7z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Saint Lucia +1758</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 108 72"><path d="M0 0h108v72H0z" fill="#003787"></path><path d="M0 0h108L60 48v24H48V48z" fill="white"></path><circle cx="54" cy="30" r="8" fill="#f9d90f"></circle><path d="M44 30h20L54 48z" fill="white"></path><path d="M54 48L38 33h32z" fill="#cf142b"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Saint Martin +590</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 26.666 640 426.666"><g fill-rule="evenodd" stroke-width="1pt"><path fill="white" d="M0 0h640v480H0z"></path><path fill="#00267f" d="M0 0h213.3v480H0z"></path><path fill="#f31830" d="M426.7 0H640v480H426.7z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Saint Pierre and Miquelon +508</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#FFDA44" d="M0 85.331h512v341.337H0z"></path><path fill="#338AF3" d="M0 85.331h170.663v341.337H0z"></path><g fill="#6DA544"><path d="M341.337 85.331H512v341.337H341.337zM214.261 283.82l-33.393-50.086 33.392-50.087 33.392 50.087zM297.739 283.82l-33.391-50.086 33.391-50.087 33.393 50.087zM256 350.603l-33.391-50.087L256 250.429l33.391 50.087z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Saint Vincent and the Grenadines +1784</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#D80027" d="M0 85.331h512v341.337H0z"></path><path fill="#0052B4" d="M0 85.331h256v170.663H0z"></path><g fill="white"><path d="M165.483 181.79l2.764 8.504h8.939l-7.232 5.254 2.763 8.503-7.234-5.255-7.233 5.255 2.763-8.503-7.233-5.254h8.94zM120.579 115.007l4.606 14.173h14.9l-12.055 8.757 4.605 14.171-12.056-8.758-12.054 8.758 4.605-14.171-12.056-8.757h14.901zM165.101 129.848l4.606 14.172h14.9l-12.055 8.757 4.604 14.173-12.055-8.76-12.054 8.76 4.604-14.173-12.055-8.757h14.9zM129.909 189.211l4.606 14.172h14.9l-12.055 8.758 4.604 14.171-12.055-8.759-12.054 8.759 4.604-14.171-12.055-8.758h14.9zM90.899 152.108l4.605 14.173h14.9l-12.055 8.757 4.604 14.173-12.054-8.76-12.055 8.76 4.604-14.173-12.055-8.757h14.9z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Samoa +685</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#338AF3" d="M0 85.34h512v341.326H0z"></path><path fill="white" d="M512 85.334v166.69L0 256.175V85.334z"></path><path fill="#6DA544" d="M323.744 203.099L256 270.843l-67.744-67.744a81.156 81.156 0 00-13.879 45.483v22.261c0 35.744 23.097 66.193 55.148 77.213-4.277 8.385-3.556 18.848 2.712 26.671l24.258-19.439 24.258 19.439c6.342-7.915 7.011-18.534 2.564-26.968 31.614-11.261 54.308-41.485 54.308-76.916v-22.261a81.174 81.174 0 00-13.881-45.483z"></path><path fill="#FFDA44" d="M256 330.206c-32.732 0-59.362-26.63-59.362-59.362v-22.261c0-32.733 26.63-59.363 59.362-59.363s59.362 26.63 59.362 59.362v22.261c0 32.733-26.63 59.363-59.362 59.363z"></path><path fill="#338AF3" d="M293.101 270.843v-22.261c0-20.458-16.643-37.101-37.101-37.101s-37.101 16.643-37.101 37.101v22.261L256 278.264l37.101-7.421z"></path><path fill="#6DA544" d="M218.899 270.843c0 20.458 16.643 37.101 37.101 37.101s37.101-16.643 37.101-37.101h-74.202z"></path><path fill="#FFDA44" d="M300.522 189.22c0-12.295-9.966-22.261-22.261-22.261a22.173 22.173 0 00-14.84 5.672v-13.093h7.421v-14.84h-7.421v-7.421h-14.84v7.421h-7.421v14.84h7.421v13.093a22.177 22.177 0 00-14.841-5.672c-12.295 0-22.261 9.966-22.261 22.261 0 6.591 2.867 12.512 7.421 16.589v13.093h74.203v-13.093c4.552-4.077 7.419-9.997 7.419-16.589z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">San Marino +378</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#FFDA44" d="M0 85.337h512v341.326H0z"></path><g fill="#6DA544"><path d="M0 85.337h512v113.775H0zM0 312.888h512v113.775H0z"></path></g><path fill="#D80027" d="M256 256.006L0 426.668V85.331z"></path><path d="M302.049 226.318l7.368 22.674h23.842l-19.288 14.016 7.366 22.674-19.288-14.015-19.287 14.015 7.366-22.674-19.288-14.016h23.842zM376.252 226.318l7.367 22.674h23.842l-19.288 14.016 7.367 22.674-19.288-14.015-19.288 14.015 7.367-22.674-19.288-14.016h23.842z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Sao Tome and Principe +239</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#6DA544" d="M0 85.331h512v341.337H0z"></path><g fill="white"><path d="M183.548 289.386c0 12.295 9.731 22.261 21.736 22.261h65.208c0 10.244 8.11 18.551 18.114 18.551h21.736c10.004 0 18.114-8.306 18.114-18.551v-22.261H183.548zM330.264 181.791v51.942c0 8.183-6.5 14.84-14.491 14.84v22.261c19.976 0 36.226-16.643 36.226-37.101v-51.942h-21.735zM174.491 233.734c0 8.183-6.5 14.84-14.491 14.84v22.261c19.976 0 36.226-16.643 36.226-37.101v-51.942H174.49v51.942z"></path><path d="M297.661 181.788h21.736v51.942h-21.736zM265.057 211.473c0 2.046-1.625 3.71-3.623 3.71-1.998 0-3.623-1.664-3.623-3.71v-29.682h-21.736v29.682c0 2.046-1.625 3.71-3.623 3.71s-3.623-1.664-3.623-3.71v-29.682h-21.736v29.682c0 14.32 11.376 25.971 25.358 25.971 5.385 0 10.38-1.733 14.491-4.677 4.11 2.944 9.106 4.677 14.491 4.677 1.084 0 2.15-.078 3.2-.215-1.54 6.499-7.255 11.345-14.068 11.345v22.261c19.976 0 36.226-16.643 36.226-37.101v-51.943h-21.736l.002 29.682z"></path><path d="M207.093 248.57h32.601v22.261h-32.601z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Saudi Arabia +966</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#FFDA44" d="M0 85.331h512v341.326H0z"></path><path fill="#D80027" d="M330.207 85.331H512v341.337H330.207z"></path><g fill="#496E2D"><path d="M0 85.331h181.793v341.337H0zM255.999 196.632l14.733 45.347h47.685l-38.576 28.029 14.734 45.348-38.576-28.026-38.577 28.026 14.737-45.348-38.576-28.029h47.681z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Senegal +221</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#0052B4" d="M0 85.331h512v341.337H0z"></path><path fill="#D80027" d="M0 85.331h512v113.775H0z"></path><path fill="white" d="M0 312.882h512v113.775H0z"></path><path fill="#D80027" d="M129.468 181.793v85.136c0 48.429 63.267 63.267 63.267 63.267S256 315.356 256 266.929v-85.136H129.468z"></path><g fill="#FFDA44"><path d="M155.634 196.634h74.201v-29.681l-14.841 7.42-22.261-22.26-22.259 22.26-14.84-7.42zM241.16 278.782l-48.231-48.231-48.231 48.231 15.741 15.74 32.49-32.49 32.49 32.49z"></path></g><path fill="white" d="M241.16 233.734h-22.504a14.74 14.74 0 002.001-7.418c0-8.196-6.645-14.84-14.84-14.84-5.663 0-10.581 3.172-13.083 7.836-2.502-4.663-7.421-7.836-13.083-7.836-8.195 0-14.84 6.644-14.84 14.84 0 2.706.736 5.235 2.001 7.418h-22.114c0 8.196 7.139 14.84 15.334 14.84h-.494c0 8.196 6.644 14.84 14.84 14.84 0 7.257 5.211 13.286 12.094 14.576l-11.694 26.401a48.075 48.075 0 0018.149 3.544 48.079 48.079 0 0018.149-3.544l-11.694-26.401c6.883-1.29 12.094-7.319 12.094-14.576 8.196 0 14.84-6.644 14.84-14.84h-.494c8.199 0 15.338-6.644 15.338-14.84z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Serbia +381</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.337h512v341.326H0z"></path><path fill="#FFDA44" d="M235.454 85.337L0 426.663 427.345 85.337z"></path><path fill="#6DA544" d="M512 329.393L0 426.663h512z"></path><path fill="#D80027" d="M512 85.337h-84.655L0 426.663l512-204.512z"></path><path fill="#0052B4" d="M0 85.337v341.326L235.454 85.337z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Seychelles +248</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.337h512v341.326H0z"></path><path fill="#6DA544" d="M0 85.337h512v113.775H0z"></path><path fill="#338AF3" d="M0 312.888h512v113.775H0z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Sierra Leone +232</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#0052B4" d="M0 85.337h512v341.326H0z"></path><path fill="#D80027" d="M512 85.331v166.69L0 256.173V85.331z"></path><path fill="white" d="M256 256.006L0 426.668V85.331z"></path><g fill="#FFDA44"><path d="M59.621 256a59.546 59.546 0 00-.193 4.57c0 32.821 26.607 59.429 59.429 59.429s59.429-26.607 59.429-59.429c0-1.539-.078-3.061-.193-4.57H59.621z"></path><circle cx="118.862" cy="210.287" r="18.286"></circle></g><path fill="#D80027" d="M77.715 205.714v59.429c0 31.494 41.144 41.143 41.144 41.143s41.144-9.649 41.144-41.143v-59.429H77.715z"></path><path fill="#338AF3" d="M118.877 287.148c-7.632-2.746-22.876-9.767-22.876-22.006v-41.144h45.715v41.144c-.001 12.28-15.244 19.283-22.839 22.006z"></path><path fill="#F3F3F3" d="M128.001 246.856v-9.142l-9.144-4.571-9.142 4.571v9.142l-4.571 4.573v18.285h27.428v-18.285z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Sint Maarten +1721</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.337h512v341.326H0z"></path><path fill="#0052B4" d="M0 196.641h512v118.717H0z"></path><path fill="#D80027" d="M0 315.359h512v111.304H0z"></path><path fill="white" d="M129.468 181.799v85.136c0 48.429 63.267 63.267 63.267 63.267S256 315.362 256 266.935v-85.136H129.468z"></path><path fill="#D80027" d="M146.126 184.294v81.941c0 5.472 1.215 10.64 3.623 15.485h85.97c2.408-4.844 3.623-10.012 3.623-15.485v-81.941h-93.216z"></path><path fill="white" d="M221.301 241.427h-21.425v-14.283h14.284v-14.283h-14.284v-14.284h-14.283v14.284h-14.282v14.283h14.282v14.283h-21.426v14.284h21.426v14.283h14.283v-14.283h21.425z"></path><path fill="#0052B4" d="M169.232 301.658c9.204 5.783 18.66 9.143 23.502 10.636 4.842-1.494 14.298-4.852 23.502-10.636 9.282-5.833 15.79-12.506 19.484-19.939a24.878 24.878 0 00-14.418-4.583c-1.956 0-3.856.232-5.682.657-3.871-8.796-12.658-14.94-22.884-14.94-10.227 0-19.013 6.144-22.884 14.94a25.048 25.048 0 00-5.682-.657 24.88 24.88 0 00-14.418 4.583c3.691 7.433 10.198 14.106 19.48 19.939z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Slovakia +421</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.337h512v341.326H0z"></path><path fill="#0052B4" d="M0 199.112h512v113.775H0z"></path><path fill="#D80027" d="M0 312.888h512v113.775H0z"></path><path fill="white" d="M233.606 196.639v14.837c0 34.081-44.522 44.522-44.522 44.522s-44.522-10.44-44.522-44.522v-14.837l-.145-44.188 89.043-.266.146 44.454z"></path><path fill="#0052B4" d="M233.606 196.639v14.837c0 34.081-44.522 44.522-44.522 44.522s-44.522-10.44-44.522-44.522v-14.837l-.145-44.188 89.043-.266.146 44.454z"></path><path fill="white" d="M233.606 196.639v14.837c0 34.081-44.522 44.522-44.522 44.522s-44.522-10.44-44.522-44.522v-14.837l14.848 14.837 29.674-22.261 29.685 22.261 14.837-14.837z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Slovenia +386</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#496E2D" d="M0 85.334h512v341.337H0z"></path><path fill="#0052B4" d="M0 426.663V85.329h512"></path><path fill="#FFDA44" d="M0 396.494v30.169h45.255L512 115.499v-30.17h-45.255z"></path><g fill="white"><path d="M85.688 108.787l5.12 15.756h16.566l-13.403 9.737 5.12 15.757-13.403-9.738-13.405 9.738 5.12-15.757L64 124.543h16.567zM170.312 108.787l5.121 15.756H192l-13.403 9.737 5.12 15.757-13.405-9.738-13.403 9.738 5.12-15.757-13.403-9.737h16.566zM85.688 191.289l5.12 15.756h16.566l-13.403 9.738 5.12 15.757-13.403-9.739-13.405 9.739 5.12-15.757L64 207.045h16.567zM170.312 191.289l5.121 15.756H192l-13.403 9.738 5.12 15.757-13.405-9.739-13.403 9.739 5.12-15.757-13.403-9.738h16.566zM128 150.037l5.12 15.756h16.568l-13.405 9.738 5.12 15.758L128 181.55l-13.403 9.739 5.12-15.758-13.405-9.738h16.568z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Solomon Islands +677</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#338AF3" d="M0 85.331h512v341.337H0z"></path><path fill="white" d="M256 157.273l22.663 69.748H352l-59.332 43.106 22.664 69.749L256 296.769l-59.332 43.107 22.664-69.749L160 227.021h73.337z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Somalia +252</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.337h512v341.326H0z"></path><path d="M114.024 256.001L0 141.926v228.17z"></path><path fill="#FFDA44" d="M161.192 256L0 94.7v47.226l114.024 114.075L0 370.096v47.138z"></path><path fill="#6DA544" d="M509.833 289.391c.058-.44.804-.878 2.167-1.318v-65.464H222.602L85.33 85.337H0V94.7L161.192 256 0 417.234v9.429h85.33l137.272-137.272h287.231z"></path><path fill="#0052B4" d="M503.181 322.783H236.433l-103.881 103.88H512v-103.88z"></path><path fill="#D80027" d="M503.181 189.217H512V85.337H132.552l103.881 103.88z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">South Africa +27</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 341.3"><path fill="#0052B4" d="M0 0h512v341.3H0z"></path><path fill="white" d="M256 0v117.4h-46.1l46.1 30.7v22.6h-22.6L160 121.8v48.9H96v-48.9l-73.4 48.9H0v-22.6l46.1-30.7H0v-64h46.1L0 22.7V0h22.6L96 48.9V0h64v48.9L233.4 0z"></path><path fill="#D80027" d="M144 0h-32v69.4H0v32h112v69.3h32v-69.3h112v-32H144z"></path><path fill="#2E52B2" d="M256 22.7v30.7h-46.1z"></path><path fill="#D80027" d="M0 170.7v-11l62.5-42.3h22.6L7.3 170.7zM7.3.1l77.8 53.2H62.5L0 11.1V.1zM256 .1v11l-62.5 42.3h-22.6L248.7.1zM248.7 170.7l-77.8-53.3h22.6l62.5 42.3v11z"></path><g><ellipse fill="white" cx="443.4" cy="233.6" rx="29" ry="43.5"></ellipse><ellipse fill="#FFCE00" cx="406.9" cy="317.7" rx="22" ry="9.3"></ellipse><ellipse fill="#FFCE00" cx="364" cy="317.7" rx="22" ry="9.3"></ellipse><path fill="#39B200" d="M342 190.1l43.4 86.9 43.5-86.9z"></path><ellipse fill="#9B9B9B" cx="327.5" cy="233.6" rx="29" ry="43.5"></ellipse><path fill="#757575" d="M371 175.6l-14.5 14.5h57.9l-14.5-14.5 14.5-43.5s-13-29-29-29-29 29-29 29l14.6 43.5z"></path><circle fill="#C6B56F" cx="385.4" cy="67" r="29"></circle><circle fill="#A54A00" cx="386" cy="88.7" r="29"></circle><circle fill="white" cx="443.4" cy="117.7" r="29"></circle><circle fill="#0049FF" cx="342.2" cy="146.7" r="29"></circle><circle fill="#0041F9" cx="429.8" cy="146.7" r="29"></circle><circle fill="#F7D71E" cx="386" cy="233.6" r="29"></circle><circle fill="#CEC851" cx="457.9" cy="190.1" r="29"></circle><circle fill="white" cx="385.4" cy="289.5" r="29"></circle><path fill="#7C0B29" d="M371 135.7l14.5-3.5 14.5 3.5c0 7.5-14.5 11-14.5 11s-14.5-3.5-14.5-11z"></path><circle fill="white" cx="327.5" cy="117.4" r="29"></circle></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">South Georgia and the South Sandwich Islands +500</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.337h512v341.326H0z"></path><path fill="#496E2D" d="M0 322.783h512v103.88H0z"></path><path d="M0 85.337h512v104.515H0z"></path><path fill="#A2001D" d="M0 210.877h512v89.656H0z"></path><path fill="#0052B4" d="M256 256.006L0 426.668V85.331z"></path><path fill="#FFDA44" d="M73.178 209.188l20.831 29.067 34.084-10.83-21.207 28.795 20.83 29.069-33.939-11.271-21.208 28.794.234-35.762-33.94-11.273 34.083-10.83z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">South Sudan +211</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#FFDA44" d="M0 85.331h512v341.337H0z"></path><g fill="#D80027"><path d="M0 85.331h512v113.775H0zM0 312.882h512v113.775H0z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Spain +34</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#FFDA44" d="M0 85.329v341.337h512V85.329H0zm489.739 319.076h-267.13V107.59h267.13v296.815z"></path><path fill="#A2001D" d="M222.609 107.595h267.13V404.41h-267.13z"></path><path fill="#D80027" d="M22.261 107.595h200.348V404.41H22.261z"></path><path fill="#FFDA44" d="M200.348 85.334h22.261v341.337h-22.261z"></path><path fill="#6DA544" d="M22.261 107.595h89.043V404.41H22.261z"></path><path fill="#FF9811" d="M111.304 107.595h89.043V404.41h-89.043z"></path><g fill="#FFDA44"><path d="M358.675 250.438v-44.522c0-7.424-11.13-14.848-11.13-14.848s-11.13 7.424-11.13 14.848h-44.522v44.522h22.261v22.261c0 4.875.979 9.539 2.76 13.768l-10.184 8.493h-29.674V157.677c-12.299 0-22.261 9.973-22.261 22.261v96.467a22.19 22.19 0 007.413 16.584v35.361h14.848v-18.554h66.783v29.685H328.99v14.837h29.685v-29.685l13.601-14.837h44.288v29.685h-14.848v14.837h29.685v-29.685l13.601-14.837 12.552-40.259-11.038-19.1h-38.945c-14.169-.122-40.637.09-48.896.001z"></path><path d="M370.551 211.844v25.229h71.513v13.365h4.452v-17.817h-71.513v-16.325h75.965v-4.452zM222.609 107.595h22.261v22.261h-22.261zM467.478 107.595h22.261v22.261h-22.261zM222.609 382.138h22.261v22.261h-22.261zM467.478 382.138h22.261v22.261h-22.261z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Sri Lanka +94</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.337h512v341.326H0z"></path><path fill="#D80027" d="M0 85.337h512v113.775H0z"></path><path d="M0 312.888h512v113.775H0z"></path><path fill="#496E2D" d="M0 426.668V85.331l256 170.675z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Sudan +249</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.331h512v341.337H0z"></path><path fill="#A2001D" d="M0 196.636h512v118.728H0z"></path><g fill="#6DA544"><path d="M0 352.462h512v74.207H0zM0 85.331h512v74.207H0z"></path></g><path fill="#FFDA44" d="M256.742 218.003l9.43 29.021h30.518L272 264.963l9.431 29.023-24.689-17.937-24.689 17.937 9.431-29.023-24.69-17.939h30.518z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Suriname +597</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#D80027" d="M0 85.334h512v341.337H0z"></path><path fill="white" d="M512 295.883H202.195v130.783H122.435V295.883H0V216.111h122.435V85.329H202.195v130.782H512V277.329z"></path><path fill="#2E52B2" d="M512 234.666v42.663H183.652v149.337h-42.674V277.329H0v-42.663h140.978V85.329h42.674v149.337z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Svalbard and Jan Mayen +47</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#0052B4" d="M0 85.333h512V426.67H0z"></path><path fill="#FFDA44" d="M192 85.33h-64v138.666H0v64h128v138.666h64V287.996h320v-64H192z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Sweden +46</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#D80027" d="M0 85.337h512v341.326H0z"></path><path fill="white" d="M356.174 222.609h-66.783v-66.783h-66.782v66.783h-66.783v66.782h66.783v66.783h66.782v-66.783h66.783z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Switzerland +41</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.331h512v341.337H0z"></path><path fill="#D80027" d="M0 85.331h512v113.775H0z"></path><path d="M0 312.882h512v113.775H0z"></path><g fill="#6DA544"><path d="M187.31 215.184l9.208 28.341h29.802l-24.11 17.518 9.209 28.342-24.109-17.516-24.11 17.516 9.209-28.342-24.109-17.518h29.801zM324.69 215.184l9.209 28.341H363.7l-24.109 17.518 9.209 28.342-24.11-17.516-24.109 17.516 9.209-28.342-24.11-17.518h29.802z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Syrian Arab Republic +963</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#D80027" d="M0 85.337h512v341.326H0z"></path><path fill="#0052B4" d="M0 85.337h256V256H0z"></path><path fill="white" d="M186.435 170.669L162.558 181.9l12.714 23.125-25.927-4.961-3.286 26.192L128 206.993l-18.06 19.263-3.285-26.192-25.927 4.96 12.714-23.125-23.877-11.23 23.877-11.231-12.714-23.125 25.927 4.96 3.286-26.192L128 134.344l18.06-19.263 3.285 26.192 25.928-4.96-12.715 23.125z"></path><circle fill="#0052B4" cx="128" cy="170.674" r="29.006"></circle><path fill="white" d="M128 190.06c-10.692 0-19.391-8.7-19.391-19.391 0-10.692 8.7-19.391 19.391-19.391 10.692 0 19.391 8.7 19.391 19.391 0 10.691-8.699 19.391-19.391 19.391z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Taiwan +886</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.337h512v341.326H0z"></path><path fill="#D80027" d="M0 85.337h512v113.775H0z"></path><path fill="#6DA544" d="M0 312.888h512v113.775H0z"></path><g fill="#FFDA44"><path d="M226.318 300.522h59.364v-25.23l-11.873 5.937L256 263.421l-17.809 17.808-11.873-5.937zM192.355 270.84l2.763 8.504h8.94l-7.233 5.255 2.763 8.502-7.233-5.255-7.234 5.255 2.763-8.502-7.233-5.255h8.94zM200.921 241.16l2.763 8.502h8.94l-7.233 5.255 2.763 8.504-7.233-5.256-7.234 5.256 2.763-8.504-7.233-5.255h8.94zM225.409 218.899l2.763 8.502h8.94l-7.233 5.255 2.763 8.504-7.233-5.256-7.234 5.256 2.763-8.504-7.233-5.255h8.94zM319.645 270.84l-2.763 8.504h-8.94l7.233 5.255-2.763 8.502 7.233-5.255 7.234 5.255-2.763-8.502 7.233-5.255h-8.94zM311.079 241.16l-2.763 8.502h-8.94l7.233 5.255-2.763 8.504 7.233-5.256 7.234 5.256-2.763-8.504 7.233-5.255h-8.94zM286.591 218.899l-2.763 8.502h-8.94l7.233 5.255-2.763 8.504 7.233-5.256 7.234 5.256-2.763-8.504 7.233-5.255h-8.94zM256 207.767l2.763 8.503h8.941l-7.234 5.256 2.763 8.502-7.233-5.254-7.233 5.254 2.763-8.502-7.234-5.256h8.941z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Tajikistan +992</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#338AF3" d="M0 85.337h512v341.326H0z"></path><path fill="#6DA544" d="M0 426.663V85.337h512"></path><path fill="#FFDA44" d="M512 152.222V85.337H411.67L0 359.778v66.885h100.33z"></path><path d="M512 85.337v40.125L60.193 426.663H0v-40.125L451.807 85.337z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Tanzania, United Republic of Tanzania +255</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.334h512V426.66H0z"></path><path fill="#0052B4" d="M0 194.056h512v123.882H0z"></path><g fill="#D80027"><path d="M0 85.334h512v54.522H0zM0 372.143h512v54.522H0z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Thailand +66</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#D80027" d="M0 85.337h512v341.326H0z"></path><path fill="#FFDA44" d="M256 256L0 90.691v44.242L155.826 256 0 377.067v44.242z"></path><path d="M0 90.691v330.618L189.217 256z"></path><path fill="white" d="M44.184 213.36l24.912 23.577 30.121-16.41-14.723 30.98 24.911 23.575-34.012-4.43L60.67 301.63l-6.296-33.716-34.012-4.43 30.119-16.408z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Timor-Leste +670</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#FFDA44" d="M0 85.337h512v341.326H0z"></path><g fill="#496E2D"><path d="M0 85.337h512V153.6H0zM0 358.4h512v68.263H0zM0 221.863h512v68.263H0z"></path></g><path fill="#D80027" d="M0 85.337h204.054v204.054H0z"></path><path fill="white" d="M102.026 133.938l13.26 40.812h42.916l-34.718 25.226 13.26 40.814-34.718-25.224-34.719 25.224 13.263-40.814-34.718-25.226h42.913z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Togo +228</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#0052B4" d="M0 85.337h512v341.326H0z"></path><g fill="white"><path d="M210.715 174.377l3.684 11.338h11.919l-9.643 7.006 3.684 11.337-9.644-7.007-9.644 7.007 3.684-11.337-9.645-7.006h11.921zM116.816 281.971l4.605 14.172h14.9l-12.055 8.757 4.606 14.173-12.056-8.76-12.055 8.76 4.604-14.173-12.054-8.757h14.899zM144.696 119.679l4.604 14.172h14.901l-12.056 8.758 4.606 14.171-12.055-8.759-12.056 8.759 4.606-14.171-12.055-8.758h14.9zM69.539 175.331l4.604 14.172h14.9l-12.055 8.758 4.606 14.171-12.055-8.758-12.056 8.758 4.606-14.171-12.055-8.758h14.9z"></path></g><g fill="#FFDA44"><path d="M483.386 354.503H117.801s109.234-88.562 310.593-220.938c.001 0-88.443 128.935 54.992 220.938zM117.801 366.089c-11.177 0-11.195 17.37 0 17.37h365.585c11.177 0 11.195-17.37 0-17.37H117.801z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Tokelau +690</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#D80027" d="M0 85.331h512v341.337H0z"></path><path fill="white" d="M0 85.331h256v170.663H0z"></path><path fill="#D80027" d="M141.357 157.303V130.59h-26.714v26.713H87.93v26.713h26.713v26.713h26.714v-26.713h26.713v-26.713z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Tonga +676</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#D80027" d="M0 85.337h512v341.326H0z"></path><path fill="white" d="M6.066 85.337l207.961 212.636 131.584 128.69h160.323L297.973 214.027 166.389 85.337z"></path><path d="M43.364 85.337L384.69 426.663h83.946L127.31 85.337z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Trinidad and Tobago +1868</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#D80027" d="M0 85.331h512v341.337H0z"></path><circle fill="white" cx="256" cy="255.994" r="96"></circle><g fill="#D80027"><path d="M267.826 219.291l16.47 22.695 26.673-8.649-16.496 22.676 16.468 22.695-26.664-8.681-16.495 22.676.017-28.04-26.664-8.682 26.674-8.648z"></path><path d="M277.818 312.724c-31.33 0-56.727-25.397-56.727-56.727s25.397-56.727 56.727-56.727c9.769 0 18.96 2.47 26.985 6.819-12.589-12.31-29.804-19.909-48.803-19.909-38.558 0-69.818 31.259-69.818 69.818s31.26 69.818 69.818 69.818c18.999 0 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items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Turkey +90</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#496E2D" d="M0 85.337h512v341.326H0z"></path><g fill="white"><path d="M357.208 183.679c8.397-23.404-1.036-48.858-21.281-61.536a52.131 52.131 0 0110.884 2.621c27.002 9.688 41.038 39.428 31.35 66.431s-39.428 41.038-66.431 31.35a52.182 52.182 0 01-10.069-4.895c23.686 3.084 47.15-10.566 55.547-33.971zM310.637 115.729l-7.297 9.427-11.22-4.026 6.712 9.852-7.296 9.427 11.443-3.338 6.712 9.852.361-11.914 11.444-3.339-11.221-4.025z"></path><path d="M330.338 146.448l-7.296 9.427-11.221-4.026 6.712 9.852-7.296 9.427 11.443-3.339 6.712 9.853.36-11.915 11.445-3.34-11.221-4.024zM275.9 126.916l-7.296 9.427-11.219-4.024 6.711 9.851-7.296 9.426 11.443-3.338 6.712 9.852.361-11.915 11.444-3.337-11.221-4.027zM275.101 162.105l-7.296 9.427-11.221-4.026 6.712 9.852-7.296 9.427 11.444-3.338 6.711 9.852.362-11.915 11.443-3.338-11.22-4.026zM308.585 174.118l-7.296 9.427-11.22-4.026 6.712 9.853-7.297 9.426 11.444-3.338 6.712 9.852.36-11.915 11.443-3.338-11.219-4.025z"></path></g><path fill="#D80027" d="M83.478 85.337h89.043v341.326H83.478z"></path><path fill="white" d="M117.458 175.191l-14.908-11.105v-15.705l14.908-11.105h21.084l14.908 11.105v15.705l-14.908 11.105z"></path><g fill="#FF9811"><path d="M128 137.276h-10.542l-14.908 11.105v7.678H128zM128 175.191h10.542l14.908-11.105v-8.012H128z"></path></g><path fill="white" d="M117.458 374.725l-14.908-11.106v-15.704l14.908-11.105h21.084l14.908 11.105v15.704l-14.908 11.106z"></path><g fill="#FF9811"><path d="M128 336.81h-10.542l-14.908 11.105v7.678H128zM128 374.725h10.542l14.908-11.106v-8.011H128z"></path></g><g fill="#496E2D"><path d="M117.458 274.957l-14.908-11.105v-15.703l14.908-11.106h21.084l14.908 11.106v15.703l-14.908 11.105zM153.971 299.391h-6.493v-6.493h-11.411l-8.068-8.068-8.067 8.068h-11.41v6.493h-6.493v12.986h6.493v6.492h11.41l8.068 8.069 8.068-8.069h11.41v-6.492h6.493zM153.971 199.623h-6.493v-6.492h-11.411l-8.068-8.069-8.067 8.069h-11.41v6.492h-6.493v12.986h6.493v6.492h11.41l8.068 8.07 8.068-8.07h11.41v-6.492h6.493z"></path></g><g fill="#D80027"><path d="M120.576 248.576h14.84v14.84h-14.84z"></path><circle cx="128" cy="206.113" r="7.421"></circle><circle cx="128" cy="305.887" r="7.421"></circle></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Turkmenistan +993</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#0052B4" d="M0 85.333h512V426.67H0z"></path><path fill="#FFDA44" d="M332.058 191.996v78.221c0 38.103 51.942 49.779 51.942 49.779s51.942-11.675 51.942-49.779v-78.221H332.058z"></path><path fill="#FF9811" d="M376.579 220.44c0 7.855-6.644 28.445-14.84 28.445s-14.84-20.589-14.84-28.445c0-7.856 14.84-14.222 14.84-14.222s14.84 6.367 14.84 14.222z"></path><path fill="#A2001D" d="M415.961 235.93c2.394-5.6 4.257-13.785 4.257-17.86 0-6.546-8.904-11.852-8.904-11.852s-8.904 5.306-8.904 11.852c0 4.075 1.862 12.26 4.257 17.86l-5.141 11.123a26.898 26.898 0 009.788 1.831c3.463 0 6.766-.654 9.788-1.831l-5.141-11.123z"></path><path fill="#6DA544" d="M372.87 270.217s-7.421 14.222-7.421 28.445h37.101c0-14.222-7.421-28.445-7.421-28.445l-11.13-7.111-11.129 7.111z"></path><path fill="#D80027" d="M395.13 270.217v-3.555c0-5.891-4.983-10.666-11.13-10.666-6.147 0-11.13 4.776-11.13 10.666v3.555h22.26z"></path><path fill="white" d="M256 85.333v30.553l-45.167 25.099H256v59.359h-59.103L256 233.179v22.817h-26.68l-73.494-40.826v40.826h-55.652v-48.573l-87.43 48.573H0v-30.554l45.167-25.098H0v-59.359h59.103L0 108.139V85.333h26.68l73.494 40.825V85.333h55.652v48.572l87.43-48.572z"></path><path fill="#D80027" d="M144 85.33h-32v69.332H0v32h112v69.334h32v-69.334h112v-32H144z"></path><path fill="#0052B4" d="M155.826 200.344L256 255.996v-15.737l-71.847-39.915z"></path><path fill="white" d="M155.826 200.344L256 255.996v-15.737l-71.847-39.915z"></path><g fill="#D80027"><path d="M155.826 200.344L256 255.996v-15.737l-71.847-39.915zM71.846 200.344L0 240.259v15.737l100.174-55.652z"></path></g><path fill="#0052B4" d="M100.174 140.982L0 85.33v15.737l71.847 39.915z"></path><path fill="white" d="M100.174 140.982L0 85.33v15.737l71.847 39.915z"></path><g fill="#D80027"><path d="M100.174 140.982L0 85.33v15.737l71.847 39.915zM184.154 140.982L256 101.067V85.33l-100.174 55.652z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Turks and Caicos Islands +1649</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 900 600"><path fill="#0052B4" d="M0 0h900v600H0z"></path><path fill="#00B2EE" d="M0 300h450V0h450v600H0V300z"></path><path fill="#FFDA44" d="M345.3 480.9l29.4 90.6-77.1-56H393l-77.1 56 29.4-90.6zM706.4 340l29.4 90.6-77.1-56H754l-77.1 56 29.5-90.6zM812.8 261.5l29.4 90.6-77.1-56h95.3l-77.1 56 29.5-90.6zM812.8 37.4l29.4 90.6-77.1-56h95.3l-77.1 56 29.5-90.6z"></path><path fill="white" d="M449.9 0v206.3h-81l81 54V300h-39.7l-129-85.9V300H168.7v-85.9L39.7 300H0v-39.7l81-54H0V93.8h81L0 39.9V0h39.7l129 85.9V0h112.5v85.9L410.2 0z"></path><path fill="#D80027" d="M253.1 0h-56.3v122H0v56.2h196.8V300h56.3V178.2h196.8V122H253.1z"></path><path fill="#2E52B2" d="M449.9 39.9v53.9h-81z"></path><path fill="#D80027" d="M0 300v-19.3l109.9-74.4h39.7L12.8 300zM12.8.1l136.8 93.7h-39.7L0 19.4V.1zM449.9.2v19.3L340 93.8h-39.7L437.1.2zM437.1 300l-136.8-93.7H340l109.9 74.4V300z"></path><path fill="#FFDA44" d="M719.9 131.6l29.4 90.6-77.1-56h95.3l-77.1 56 29.5-90.6zM584 187.7l29.4 90.6-77.1-56h95.3l-77.1 56 29.5-90.6zM614 430.6l29.4 90.6-77.1-56h95.3l-77.1 56 29.5-90.6zM488 332l29.4 90.6-77.1-56h95.3l-77.1 56L488 332zM488 464l29.4 90.6-77.1-56h95.3l-77.1 56L488 464z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Tuvalu +688</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 341.3"><path fill="#232323" d="M0 0h512v341.3H0z"></path><path fill="#FFDA44" d="M0 56.9h512v56.9H0z"></path><path fill="#D32300" d="M0 113.8h512v56.9H0z"></path><path fill="#FFDA44" d="M0 227.6h512v56.9H0z"></path><path fill="#D32300" d="M0 284.4h512v56.9H0z"></path><circle fill="white" cx="256" cy="170.7" r="80.7"></circle><path d="M234.5 127.5c.9-1.4-19.6-2-19.6-2 1.7-2.5 18.4-10.5 18.4-10.5s-.9-6 2.7-9.8l-4.5-9.8s7-3.4 18.4-3.4 19.9 7 21 13.1l-6.4 3.4c-.1 4.7 1.7 11.6-4.3 17.3-5.9 5.7-8.3 6.9-8.5 18.8 0 3.9 2.3 8.2 8.8 11.7 17.4 9.3 38.6 28.2 44.6 33.9 6.1 5.7 5.1 19.2 2.6 25.2s-12.1 14.3-14.3 13.6c-2.2-.6 1.2-9.2-3.5-11.6 0 0-8.9-7.6-16.8.6s-.2 25.2 3.9 28c4.1 2.8 1.7 5-1.9 5H247c-3.8 0-5.4-2.3-1.9-5 7.6-3.8 12.4-15.3 7.4-20.3-4.9-4.9-18.3 1.5-21.5 6.3-2.8 2.8-8.8 3.6-12.9-1.4s-4.1-10.4-1.1-12.5c7-4.8 0 0 .1-.1 0 0 11.9-8.6 29.9-9 3.9 0 4.8-2.2 2.2-4.8 0 0-30.9-27.4-28.1-44.2 3-18.3 20-26.3 13.4-32.5-1.3-1.8 0 0 0 0z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Uganda +256</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#FFDA44" d="M0 85.337h512v341.326H0z"></path><path fill="#338AF3" d="M0 85.337h512V256H0z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Ukraine +380</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.333h512V426.67H0z"></path><path fill="#D80027" d="M288 85.33h-64v138.666H0v64h224v138.666h64V287.996h224v-64H288z"></path><g fill="#0052B4"><path d="M393.785 315.358L512 381.034v-65.676zM311.652 315.358L512 426.662v-31.474l-143.693-79.83zM458.634 426.662l-146.982-81.664v81.664z"></path></g><path fill="white" d="M311.652 315.358L512 426.662v-31.474l-143.693-79.83z"></path><path fill="#D80027" d="M311.652 315.358L512 426.662v-31.474l-143.693-79.83z"></path><g fill="#0052B4"><path d="M90.341 315.356L0 365.546v-50.19zM200.348 329.51v97.151H25.491z"></path></g><path fill="#D80027" d="M143.693 315.358L0 395.188v31.474l200.348-111.304z"></path><g fill="#0052B4"><path d="M118.215 196.634L0 130.958v65.676zM200.348 196.634L0 85.33v31.474l143.693 79.83zM53.366 85.33l146.982 81.664V85.33z"></path></g><path fill="white" d="M200.348 196.634L0 85.33v31.474l143.693 79.83z"></path><path fill="#D80027" d="M200.348 196.634L0 85.33v31.474l143.693 79.83z"></path><g fill="#0052B4"><path d="M421.659 196.636L512 146.446v50.19zM311.652 182.482V85.331h174.857z"></path></g><path fill="#D80027" d="M368.307 196.634L512 116.804V85.33L311.652 196.634z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">United Kingdom +44</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 513 342"><path fill="white" d="M0 0h513v342H0z"></path><g fill="#338AF3"><path d="M0 38h513v38H0zM0 114h513v38H0zM0 190h513v38H0zM0 266h513v38H0z"></path></g><path fill="white" d="M0 0h256.5v190H0z"></path><path fill="#FFDA44" d="M192 95l-26.2 12.3 14 25.3-28.4-5.4-3.6 28.7-19.8-21.1-19.8 21.1-3.6-28.7-28.4 5.4 14-25.3L64 95l26.2-12.3-14-25.3 28.4 5.4 3.6-28.7L128 55.2l19.8-21.1 3.6 28.7 28.4-5.4-14 25.3z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Uruguay +598</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#D80027" d="M0 85.337h512v341.326H0z"></path><path fill="#6DA544" d="M0 322.783h512v103.88H0z"></path><path fill="#338AF3" d="M0 85.337h512v104.515H0z"></path><path fill="white" d="M0 210.877h512v89.656H0z"></path><path fill="#338AF3" d="M0 85.337h512v104.515H0z"></path><g fill="white"><path d="M188.688 137.589c0-15.984 11.234-29.339 26.236-32.614a33.531 33.531 0 00-7.155-.777c-18.442 0-33.391 14.949-33.391 33.391s14.949 33.391 33.391 33.391c2.458 0 4.85-.273 7.155-.777-15.002-3.275-26.236-16.63-26.236-32.614zM234.658 152.766l2.261 6.957h7.315l-5.918 4.301 2.261 6.956-5.919-4.3-5.918 4.3 2.261-6.956-5.918-4.301h7.315zM258.006 152.766l2.26 6.957h7.315l-5.918 4.301 2.261 6.956-5.918-4.3-5.918 4.3 2.26-6.956-5.917-4.301h7.314zM281.353 152.766l2.26 6.957h7.315l-5.917 4.301 2.26 6.956-5.918-4.3-5.918 4.3 2.26-6.956-5.918-4.301h7.315zM304.7 152.766l2.262 6.957h7.315l-5.919 4.301 2.261 6.956-5.919-4.3-5.918 4.3 2.262-6.956-5.919-4.301h7.314zM328.048 152.766l2.26 6.957h7.315l-5.918 4.301 2.261 6.956-5.918-4.3-5.918 4.3 2.26-6.956-5.917-4.301h7.314zM258.006 128.482l2.26 6.956h7.315l-5.918 4.3 2.261 6.957-5.918-4.299-5.918 4.299 2.26-6.957-5.917-4.3h7.314zM281.353 128.482l2.26 6.956h7.315l-5.917 4.3 2.26 6.957-5.918-4.299-5.918 4.299 2.26-6.957-5.918-4.3h7.315zM304.7 128.482l2.262 6.956h7.315l-5.919 4.3 2.261 6.957-5.919-4.299-5.918 4.299 2.262-6.957-5.919-4.3h7.314zM328.048 128.482l2.26 6.956h7.315l-5.918 4.3 2.261 6.957-5.918-4.299-5.918 4.299 2.26-6.957-5.917-4.3h7.314zM281.353 104.198l2.26 6.956h7.315l-5.917 4.3 2.26 6.957-5.918-4.3-5.918 4.3 2.26-6.957-5.918-4.3h7.315zM304.7 104.198l2.262 6.956h7.315l-5.919 4.3 2.261 6.957-5.919-4.3-5.918 4.3 2.262-6.957-5.919-4.3h7.314zM328.048 104.198l2.26 6.956h7.315l-5.918 4.3 2.261 6.957-5.918-4.3-5.918 4.3 2.26-6.957-5.917-4.3h7.314z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Uzbekistan +998</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path d="M0 85.337h512v341.326H0z"></path><path fill="#6DA544" d="M512 256v170.663H0L215.185 256z"></path><path fill="#D80027" d="M512 85.337V256H215.185L0 85.337z"></path><path d="M221.001 239.304L26.868 85.337H8.956l208.168 165.098H512v-11.131zM8.956 426.663h17.912l194.133-153.967H512v-11.131H217.124zM0 92.44v14.206L188.317 256 0 405.354v14.205L206.229 256z"></path><g fill="#FFDA44"><path d="M8.956 85.337H0v7.103L206.229 256 0 419.559v7.104h8.956l208.168-165.098H512v-11.13H217.124z"></path><path d="M63.718 292.382v-14.295c14.265 0 25.87-11.606 25.87-25.869 0-10.092-8.211-18.303-18.304-18.303-6.875 0-12.469 5.593-12.469 12.469 0 4.397 3.577 7.974 7.974 7.974a4.514 4.514 0 004.508-4.508h14.295c0 10.368-8.435 18.804-18.802 18.804-12.279-.002-22.269-9.993-22.269-22.271 0-14.758 12.006-26.764 26.764-26.764 17.975 0 32.599 14.623 32.599 32.599 0 22.145-18.018 40.164-40.166 40.164z"></path></g></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Vanuatu +678</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 22.5 15"><path fill="#FFCE00" d="M0 0h22.5v5H0z"></path><path fill="#203899" d="M0 5h22.5v5H0z"></path><path fill="#D82B2B" d="M0 10h22.5v5H0z"></path><path fill="white" d="M12.13 5.38l.14.46.45.14-.39.27.01.48-.38-.29-.45.15.15-.44-.28-.38h.47zM10.36 5.38l.27.39h.47l-.28.38.15.45-.45-.16-.38.28.01-.47-.39-.28.45-.13zM13.8 5.94l-.01.48.39.27-.46.14-.14.45-.27-.38h-.48l.29-.38-.15-.45.45.16zM8.69 5.96l.4.27.44-.18-.13.46.3.36-.47.02-.26.4-.16-.44-.46-.12.37-.3zM15.24 7.13l-.2.44.25.4-.47-.05-.31.36-.1-.46-.43-.18.41-.24.03-.47.35.31zM15.43 8.25l.21.43.47.07-.34.33.08.46-.42-.22-.42.22.08-.46-.34-.33.47-.07zM7 8.2l.21.43.47.06-.34.33.08.47L7 9.27l-.42.22.08-.47-.34-.33.47-.06zM7.31 7.05l.45.14.38-.29v.48l.39.26-.45.15-.13.46-.28-.38-.47.01.27-.38z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Venezuela, Bolivarian Republic of Venezuela +58</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#D80027" d="M196.641 85.337H0v341.326h512V85.337z"></path><path fill="#FFDA44" d="M256 157.279l22.663 69.747H352l-59.332 43.106 22.664 69.749L256 296.774l-59.332 43.107 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5.4-2.4l32.5-83.1c.7-2.2-.4-4.5-2.6-5.3-2.1-.6-4.3.4-5.2 2.3z"></path><path fill="#409347" d="M122.1 171.9c.4 1.7 1.2 4.7 2.2 8.5 1.7 6.4 3.6 12.8 5.6 18.7 2.3 6.9 14.7 31.4 20.2 39.1 6.9 9.7 14.1 19.3 21.5 28.6 1.6 1.9 4.5 2.1 6.4.5 1.8-1.6 2.1-4.3.7-6.2-7.3-9.2-14.4-18.6-21.2-28.2-4.2-5.8-17.2-31.1-19-36.7-2.9-8.7-5.4-17.6-7.6-26.5-.5-2.4-2.9-4-5.3-3.5s-4 2.9-3.5 5.3c-.1.2 0 .3 0 .4z"></path><g fill="#FFD836" stroke="#231F20" stroke-miterlimit="10"><path d="M297.1 114.9S279.5 42.8 261 42.8c-6.9 0-11.9-.6-15.4 6.4-.9 1.7-20.7-1.6-19.1 20.8.5 6.9 1.1-9.8 14.9-3.4 6.3 3-16.4 48.2-16.4 48.2h72.1z"></path><path d="M466.1 48.4l-90.9 22c-75.3 18.3-42.1 44.4-42.1 44.4l-72.1 12-72.1-12s33.2-26.1-42.1-44.4l-90.9-22C43.1 45.3 38.1 51.8 45.3 63c0 0 106.6 104 126.8 112 20.2 8.1 40.8 0 40.8 0s-14.9 8.7-24 24c-9.2 15.3-4.6 34.7-38.9 40.2-5.5 6.6-5 14 2.9 19.9 7.9 5.8 72.1-48.1 72.1-48.1s-24 24.4-24 36.1c0 5.1 44.1 53.8 60.1 53.8s60.1-48.7 60.1-53.8c0-11.7-24-36.1-24-36.1s64.2 53.9 72.1 48.1 11.4-19.3 2.8-19.9c-28-1.8-29.7-24.9-38.9-40.2-9.2-15.3-24-24-24-24s20.6 8.1 40.8 0S476.7 63 476.7 63c7.2-11.2 2.3-17.7-10.6-14.6z"></path></g><path fill="white" stroke="#231F20" stroke-miterlimit="10" d="M201.3 111.8v80.3c0 45.7 59.7 59.7 59.7 59.7s59.7-14 59.7-59.7v-80.3H201.3h0z"></path><g fill="#D80027"><path d="M225.2 137.7V235c8.2 6 17 10.2 23.9 12.9V137.7h-23.9zM296.8 137.7V235c-8.2 6-17 10.2-23.9 12.9V137.7h23.9z"></path></g><path fill="#0052B4" d="M201.3 111.8h119.4v37.9H201.3z"></path><path fill="#1583C4" d="M60.1 210.5l-21.9-58.1H15.7l31.8 80.8h25.2l31.5-80.8H81.7zM451.5 151.9h18.9v81.7h-18.9z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Virgin Islands, U.S. +1340</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 150 100"><path fill="#ED2939" d="M0 0h150v100H0z"></path><path fill="#002395" d="M0 0h20v44.33H0z"></path><path fill="white" d="M20 0h20v44.33H20z"></path><path fill="none" stroke="white" stroke-width="3" d="M0 44.33h62.75V0"></path><path fill="white" d="M108.08 43.29L87.96 23.17h40.25l-20.13 20.12zm-6.7 6.71L81.25 29.88v40.25L101.38 50zm6.7 6.71L87.96 76.83h40.25l-20.13-20.12zm6.71-6.71l20.13-20.13v40.25L114.79 50z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Wallis and Futuna +681</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="white" d="M0 85.337h512v341.326H0z"></path><path fill="#D80027" d="M0 85.337h512v113.775H0z"></path><path d="M0 312.888h512v113.775H0z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Yemen +967</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path fill="#496E2D" d="M0 85.331h512v341.337H0z"></path><path fill="#FF9811" d="M490.668 195.476h-48c0-8.836-7.164-16-16-16s-16 7.164-16 16h-48c0 8.836 7.697 16 16.533 16h-.533c0 8.836 7.162 16 16 16 0 8.836 7.162 16 16 16h32c8.836 0 16-7.164 16-16 8.836 0 16-7.164 16-16h-.533c8.837 0 16.533-7.164 16.533-16z"></path><path fill="#D80027" d="M341.337 255.994h56.888v170.663h-56.888z"></path><path fill="#FF9811" d="M455.112 255.994H512v170.663h-56.888z"></path><path d="M398.225 255.994h56.888v170.663h-56.888z"></path></svg></div><div class="pl-spacing4 w-6 items-center text-neutral-700 font-semibold md:!w-45 !w-auto pl-spacing8 text-sm">Zambia +260</div></div></div><div class="bg-white pr-spacing10 pl-spacing16 pt-spacing10 pb-spacing10 w-full font-normal text-xs text-gray cursor-pointer border-1 border-white hover:border-neutral-400"><div class="flex items-center font-Inter"><div class="w-5 h-5 flex items-center"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 85.333 512 341.333"><path d="M0 85.333h512V426.67H0z"></path><g fill="#FFDA44"><path d="M0 134.196h512v48.868H0zM0 329.668h512v48.868H0z"></path></g><path fill="#6DA544" d="M0 85.333h512v48.868H0z"></path><g fill="#D80027"><path d="M0 183.069h512v48.868H0zM0 280.806h512v48.868H0z"></path></g><path fill="#6DA544" d="M0 378.542h512v48.128H0z"></path><path 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