{"id":177828,"date":"2024-02-14T16:24:07","date_gmt":"2024-02-14T15:24:07","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=177828"},"modified":"2024-02-08T18:04:23","modified_gmt":"2024-02-08T17:04:23","slug":"pyspark-course-learn-how-to-use-the-python-api-for-spark","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/pyspark-course-learn-how-to-use-the-python-api-for-spark","title":{"rendered":"PySpark Course: Learn how to use the Python API for Spark"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"177828\" class=\"elementor elementor-177828\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-3b7cb45 e-flex e-con-boxed e-con\" data-id=\"3b7cb45\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-4df4cf9 e-con-full e-flex e-con\" data-id=\"4df4cf9\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5adaccf elementor-widget elementor-widget-heading\" data-id=\"5adaccf\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h2 class=\"elementor-heading-title elementor-size-default\">PySpark is a Python-based API for the Apache Spark data processing engine. Find out why you should learn to use this tool, and how to take a PySpark Course.<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4deac4b elementor-widget elementor-widget-text-editor\" data-id=\"4deac4b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p><strong>Data science and Machine Learning<\/strong> open up new possibilities. However, these disciplines require tools capable of <a href=\"https:\/\/datascientest.com\/en\/distributed-architecture-definition-and-relationship-to-big-data\">processing massive sets of Big Data.<\/a> This is why solutions are emerging, such as the <strong>Spark<\/strong> processing engine and the <strong>PySpark API in Python.<\/strong><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-445cd82 e-flex e-con-boxed e-con\" data-id=\"445cd82\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-02fc5e9 e-con-full e-flex e-con\" data-id=\"02fc5e9\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-cbde6ef elementor-widget elementor-widget-heading\" data-id=\"cbde6ef\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What is Apache Spark?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9f187aa elementor-widget elementor-widget-text-editor\" data-id=\"9f187aa\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>Before discussing PySpark,<\/strong> it&#8217;s important to understand what Apache Spark is. It&#8217;s an open source framework written in Scala and designed to process large datasets in a distributed cluster.<\/p><p>Thanks to its in-memory processing system, <strong>Spark is a hundred times faster<\/strong>. This tool has rapidly established itself as a <a href=\"https:\/\/datascientest.com\/en\/distributed-architecture-definition-and-relationship-to-big-data\">must-have for Big Data.<\/a><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3198e6e e-flex e-con-boxed e-con\" data-id=\"3198e6e\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-e80ccc3 e-con-full e-flex e-con\" data-id=\"e80ccc3\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3dd6678 elementor-widget elementor-widget-heading\" data-id=\"3dd6678\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What is PySpark?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7a7c935 elementor-widget elementor-widget-text-editor\" data-id=\"7a7c935\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><a href=\"https:\/\/datascientest.com\/en\/pyspark-the-python-library\">PySpark<\/a> is a Python API for Apache Spark. It enables large datasets to be processed in a distributed cluster.<\/p><p>With this tool, it becomes possible to run a Python application using Apache Spark features. This API was developed in response to the massive adoption of Python by the industry, since Spark was originally <a href=\"https:\/\/datascientest.com\/en\/comparing-scala-and-python-choosing-the-right-language-for-your-projects\">written in Scala<\/a>. Thus, PySpark was launched with <strong>Python PY4J.<\/strong><\/p><p>This is a Java library integrated within PySpark, enabling a dynamic interface with JVM objects. It is therefore essential to install Java, Python and Apache Spark to run PySpark.<\/p><p>It is also possible to use the Anaconda distribution for development. Widely used for Machine Learning, it provides a number of very useful tools, such as the <a href=\"https:\/\/datascientest.com\/en\/jupyter-notebook-an-indispensable-code-sharing-tool\">Jupyter Spyder IDE notebooks.<\/a><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-ac5738b e-flex e-con-boxed e-con\" data-id=\"ac5738b\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-9d2c014 e-con-full e-flex e-con\" data-id=\"9d2c014\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f7bb8b1 elementor-widget elementor-widget-heading\" data-id=\"f7bb8b1\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Who uses PySpark?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-dd93596 elementor-widget elementor-widget-text-editor\" data-id=\"dd93596\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><strong>PySpark<\/strong> is widely used in the fields of Data Science and Machine Learning. There are many Data Science libraries written in Python, such as NumPy and <a href=\"https:\/\/datascientest.com\/en\/tensorflow-course-where-to-learn-how-to-use-the-framework\">TensorFlow.<\/a><\/p><p>Several PySpark modules are specially dedicated to Data Science and Machine Learning, including RDD, DataFrame and MLib. It&#8217;s an ideal solution for large-scale data analysis and the development of <strong>Machine Learning pipelines.<\/strong><\/p><p>Compared with traditional Python applications, PySpak makes it possible to run Machine Learning applications on billions of data sets on distributed clusters a hundred times faster.<\/p><p>The advantages of <strong>PySpark<\/strong> are the simplicity of the Python language, and the various data visualization features. These are just some of the reasons for its success.<\/p><p>Many well-known companies use <strong>PySpark,<\/strong> including Amazon, Walmart, Trivago, Sanofi and Runtastic. The tool is used in a wide variety of sectors, including healthcare, finance, education, entertainment and <strong>e-commerce.<\/strong><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2dd7560 elementor-widget elementor-widget-image\" data-id=\"2dd7560\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"448\" src=\"https:\/\/datascientest.com\/en\/files\/2022\/01\/pyspark-api-1024x574.jpg\" class=\"attachment-large size-large wp-image-138163\" alt=\"pyspark-api\" srcset=\"https:\/\/datascientest.com\/en\/files\/2022\/01\/pyspark-api-1024x574.jpg 1024w, https:\/\/datascientest.com\/en\/files\/2022\/01\/pyspark-api-300x168.jpg 300w, https:\/\/datascientest.com\/en\/files\/2022\/01\/pyspark-api-768x430.jpg 768w, https:\/\/datascientest.com\/en\/files\/2022\/01\/pyspark-api.jpg 1520w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-41ea197 e-flex e-con-boxed e-con\" data-id=\"41ea197\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-183e5d3 e-con-full e-flex e-con\" data-id=\"183e5d3\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e0109de elementor-widget elementor-widget-heading\" data-id=\"e0109de\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Why learn to use PySpark \/ take a PySpark Course?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1aec96d elementor-widget elementor-widget-text-editor\" data-id=\"1aec96d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>For <strong>Data Science and Machine Learning<\/strong>, PySpark is now considered a must-have tool. Since 2016, the number of job offers requiring mastery of this tool has doubled.<\/p><p>If you want to work in these fields, it&#8217;s imperative that you learn how to use <strong>PySpark<\/strong>. What&#8217;s more, if you&#8217;ve already mastered the Python language, learning <strong>PySpark<\/strong> won&#8217;t be too difficult and will open many doors for you.<\/p><p>Learning to use <strong>PySpark<\/strong> will enable you to acquire a highly sought-after, well-paid skill in the corporate world. If you&#8217;re thinking of <a href=\"https:\/\/datascientest.com\/en\/synergies-unveiled-the-dynamic-intersection-of-data-science-and-finance\">becoming a Data Scientist<\/a>, this is one of the tools you need to master.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-85bface e-flex e-con-boxed e-con\" data-id=\"85bface\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-3e90b8f e-con-full e-flex e-con\" data-id=\"3e90b8f\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f2d4d0e elementor-widget elementor-widget-heading\" data-id=\"f2d4d0e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">How can I take a PySpark course?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-027dd79 elementor-widget elementor-widget-text-editor\" data-id=\"027dd79\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>For a <strong>PySpark training<\/strong>, you can choose DataScientest training courses. With our Data Scientist training, you&#8217;ll <a href=\"https:\/\/datascientest.com\/en\/python-the-most-popular-programming-language\">learn Python programming.<\/a><\/p><p>Machine Learning with PySpark is at the heart of the Big Data module, alongside SQL. The course also covers DataViz, Machine Learning, Deep Learning and AI.<\/p><p>You can complete this training with an intensive BootCamp or Continuing Education if you already have a business. Our remote Blended Learning approach combines 85% individual coaching on a SaaS platform and 15% Masterclass.<\/p><p>At the end of the course, you will receive a certificate issued by MINES ParisTech \/ PSL Executive Education as part of a partnership. As far as financing is concerned, our programs are eligible for the Compte Personnel de Formation. Don&#8217;t wait any longer and discover Data Scientist training!<\/p><p>Now you know everything about <strong>PySpark training<\/strong>. Discover our complete dossier on Spark, and our introduction to Machine Learning.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b4b86b7 e-flex e-con-boxed e-con\" data-id=\"b4b86b7\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-e3189aa e-con-full e-flex e-con\" data-id=\"e3189aa\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e8d535a elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"e8d535a\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/data-scientist-course\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Find out more about our Data Scientist training<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>PySpark is a Python-based API for the Apache Spark data processing engine. Find out why you should learn to use this tool, and how to take a PySpark Course. Data science and Machine Learning open up new possibilities. However, these disciplines require tools capable of processing massive sets of Big Data. This is why solutions [&hellip;]<\/p>\n","protected":false},"author":67,"featured_media":177830,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[1417],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>PySpark Course: Learn how to use the Python API for Spark<\/title>\n<meta name=\"description\" content=\"When faced with the choice which is the right PySpark Course for you, you should take into account that the ...\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/datascientest.com\/en\/pyspark-course-learn-how-to-use-the-python-api-for-spark\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"PySpark Course: Learn how to use the Python API for Spark\" \/>\n<meta property=\"og:description\" content=\"PySpark is a Python-based API for the Apache Spark data processing engine. 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