{"id":177620,"date":"2024-02-02T11:47:31","date_gmt":"2024-02-02T10:47:31","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=177620"},"modified":"2024-01-29T16:57:40","modified_gmt":"2024-01-29T15:57:40","slug":"python-vs-julia-which-is-the-best-language-for-data-science","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/python-vs-julia-which-is-the-best-language-for-data-science","title":{"rendered":"Python vs Julia: which is the best language for Data Science?"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"177620\" class=\"elementor elementor-177620\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-0aa7fb2 e-flex e-con-boxed e-con\" data-id=\"0aa7fb2\" 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-0a40dd9 e-con-full e-flex e-con\" data-id=\"0a40dd9\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-971a182 elementor-widget elementor-widget-heading\" data-id=\"971a182\" 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\">Many data scientists hesitate between Python and Julia for their Machine Learning or data science projects.\nDiscover the respective advantages and disadvantages of these two programming languages...<\/h2>\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-b2ab436 e-flex e-con-boxed e-con\" data-id=\"b2ab436\" 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-72b551c e-con-full e-flex e-con\" data-id=\"72b551c\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-7175bd0 elementor-widget elementor-widget-text-editor\" data-id=\"7175bd0\" 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>Introduced in the 1990s, <a href=\"https:\/\/datascientest.com\/en\/top-10-native-python-functions\">Python remains one of the world&#8217;s most popular programming languages.<\/a> The language stands out for its simplicity, and the ease with which it can be learned. Today, more than 7 million coders use it.<\/p><p>Python is used in particular in the fields of data science and machine learning. However, it now has to contend with a new language created in 2012: Julia.<\/p><p>The aim of Julia&#8217;s creators was to offer programmers greater efficiency, flexibility and scope. Their goal was to create a language that could be used like <a href=\"https:\/\/datascientest.com\/en\/time-series-plot-python-the-tutorial\">Python<\/a>, while offering the same computational capabilities as Matlab and the speed of C.<\/p><p>Now, for many programmers, it&#8217;s hard to choose between Julia and Python for data science. According to the latest 2020 user survey, conducted by Julia developers among 2565 users, Python is the language that the vast majority (76%) of Julia aficionados will choose as their second choice.<\/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-ff13d2f e-flex e-con-boxed e-con\" data-id=\"ff13d2f\" 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-05a7166 e-con-full e-flex e-con\" data-id=\"05a7166\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8113e51 elementor-widget elementor-widget-text-editor\" data-id=\"8113e51\" 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<blockquote><p>Each of these languages has its advantages and disadvantages. To help you make the right choice, here&#8217;s a look at their main differences:<\/p><\/blockquote>\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-e478bf4 e-flex e-con-boxed e-con\" data-id=\"e478bf4\" 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-cd3eb39 e-con-full e-flex e-con\" data-id=\"cd3eb39\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8afa7b3 elementor-widget elementor-widget-heading\" data-id=\"8afa7b3\" 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 are Julia's strengths and advantages?<\/h3>\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-e30a01a e-flex e-con-boxed e-con\" data-id=\"e30a01a\" 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-91bfd24 e-con-full e-flex e-con\" data-id=\"91bfd24\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a299022 elementor-widget elementor-widget-text-editor\" data-id=\"a299022\" 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\/lead-data-scientist-description-of-the-role\">Created specifically for Data Science<\/a>, complex linear algebra, data mining and Machine Learning, Julia aims to address the main weaknesses of Python and other programming languages used in these fields.<\/p><p>This relatively new language offers interactivity via its <strong>REPL (Read Eval Print Loop)<\/strong> command line to help programmers easily add commands and scripts.<\/p><p>It uses the LLVM framework for just-in-time (JIT) compilation, enabling it to offer the same runtime speed as C. What&#8217;s more, Julia is compatible with a wide variety of external Python, Fortran and C libraries. Its syntax is simple and efficient, like that of Python. What&#8217;s more, it features a comprehensive debugging tool that lets you run code in a local <strong>REPL<\/strong> to check variables and results, and add breakpoints.<\/p><p>Its multiple dispatches allow functions to be extended, while polymorphic dispatch lets developers apply function definitions as properties of a structure.<\/p><p>Thanks to metaprogramming support, programs written in Julia can also generate other Julia applications and change their own code. These are the main features of this language.<\/p><p>Compared with Python, Julia offers several advantages.<\/p><p>Firstly, its syntax is optimized for mathematics and scientific languages or environments such as R, Octave, Matlab and Mathematica. Its syntax is similar to the formulas used by mathematicians, so they can learn to master it more easily.<\/p><p>Type declarations and JIT compilation enable Julia to outperform Python in terms of speed. Another advantage is <strong>automatic memory management.<\/strong><\/p><p>Given that Julia was <a href=\"https:\/\/datascientest.com\/en\/streamlit-the-tool-for-presenting-your-machine-learning-work\">created for Machine Learning<\/a> and statistics, it&#8217;s a better choice than Python for linear algebra. Finally, its native Machine Learning libraries are a real asset for use in 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-b98a504 e-flex e-con-boxed e-con\" data-id=\"b98a504\" 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-37dc6d3 e-con-full e-flex e-con\" data-id=\"37dc6d3\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4e45ffc elementor-widget elementor-widget-heading\" data-id=\"4e45ffc\" 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 are the advantages of Python?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d1fded5 elementor-widget elementor-widget-text-editor\" data-id=\"d1fded5\" 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>Nevertheless, Python also offers advantages for data science. Although slower, its runtime is lighter and Python programs generally take less time to start running.<\/p><p>Even in terms of speed, Python improves over time. Its interpreter has improved, particularly with regard to parallel and multi-core processing. This has enabled it to gain in speed.<\/p><p>Another advantage of this well-known language is its popularity. In terms of size, the Julia community is still a long way from matching that of Python, although it is growing steadily.<\/p><p>Similarly, Python benefits from a wider variety of third-party packages, such as <a href=\"https:\/\/datascientest.com\/en\/pytorch-all-about-this-framework\">PyTorch<\/a> and <a href=\"https:\/\/datascientest.com\/en\/tensorflow-course-where-to-learn-how-to-use-the-framework\">Tensorflow<\/a> for Machine Learning, while very little third-party software is currently being developed around Julia.<\/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-f19fcad e-flex e-con-boxed e-con\" data-id=\"f19fcad\" 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-9ab05ab e-con-full e-flex e-con\" data-id=\"9ab05ab\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-39fced9 elementor-widget elementor-widget-text-editor\" data-id=\"39fced9\" 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>In conclusion, Julia is a language created specifically for Data Science and <a href=\"https:\/\/datascientest.com\/en\/tpot-all-about-this-machine-learning-python-library\">Machine Learning,<\/a> and this allows it to outperform Python in terms of speed and ease of use for these disciplines. Nevertheless, Python remains an excellent choice, with a vast community of users contributing to its constant improvement. To choose between the two, you&#8217;ll need to analyze your specific needs and preferences in terms of the strengths and weaknesses of each&#8230;<\/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-a006ca0 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"a006ca0\" 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-courses\">\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\">Discover our training courses<\/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>Many data scientists hesitate between Python and Julia for their Machine Learning or data science projects. Discover the respective advantages and disadvantages of these two programming languages&#8230; Introduced in the 1990s, Python remains one of the world&#8217;s most popular programming languages. The language stands out for its simplicity, and the ease with which it can [&hellip;]<\/p>\n","protected":false},"author":67,"featured_media":177622,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2425],"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>Python vs Julia: which is the best language for Data Science?<\/title>\n<meta name=\"description\" content=\"If you were wondering &quot;Python vs Julia: which is the best language for Data Science&quot;, you should know that most ...\" \/>\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\/python-vs-julia-which-is-the-best-language-for-data-science\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python vs Julia: which is the best language for Data Science?\" \/>\n<meta property=\"og:description\" content=\"Many data scientists hesitate between Python and Julia for their Machine Learning or data science projects. 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