{"id":1203,"date":"2024-02-15T05:25:45","date_gmt":"2024-02-15T05:25:45","guid":{"rendered":"https:\/\/proleed.academy\/blog\/?p=1203"},"modified":"2024-03-28T07:32:04","modified_gmt":"2024-03-28T07:32:04","slug":"r-vs-python-for-data-science-which-should-you-learn-first","status":"publish","type":"post","link":"https:\/\/proleed.academy\/blog\/r-vs-python-for-data-science-which-should-you-learn-first\/","title":{"rendered":"R vs Python for Data Science &#8211; Which should you, learn first?"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"1203\" class=\"elementor elementor-1203\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-1a27424 elementor-section-full_width elementor-section-height-default elementor-section-height-default\" data-id=\"1a27424\" data-element_type=\"section\" data-e-type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-70aea31\" data-id=\"70aea31\" data-element_type=\"column\" data-e-type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a7123b9 elementor-widget elementor-widget-heading\" data-id=\"a7123b9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Table of contents<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-78ec355 elementor-icon-list--layout-traditional elementor-list-item-link-full_width elementor-widget elementor-widget-icon-list\" data-id=\"78ec355\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"icon-list.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<ul class=\"elementor-icon-list-items\">\n\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/proleed.academy\/blog\/r-vs-python-for-data-science-which-should-you-learn-first\/#topic1\">\n\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-chevron-right\"><\/i>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">What is Python?<\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/proleed.academy\/blog\/r-vs-python-for-data-science-which-should-you-learn-first\/#topic2\">\n\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-chevron-right\"><\/i>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">What is R?<\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/proleed.academy\/blog\/r-vs-python-for-data-science-which-should-you-learn-first\/#topic3\">\n\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-chevron-right\"><\/i>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Industry Adoption and Job Market<\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/proleed.academy\/blog\/r-vs-python-for-data-science-which-should-you-learn-first\/#topic4\">\n\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-chevron-right\"><\/i>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Why choose Python for Data Science?<\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/proleed.academy\/blog\/r-vs-python-for-data-science-which-should-you-learn-first\/#topic5\">\n\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-chevron-right\"><\/i>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Why choose R for Data Science?<\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/proleed.academy\/blog\/r-vs-python-for-data-science-which-should-you-learn-first\/#topic6\">\n\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-chevron-right\"><\/i>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">R VS Python for Data Science - Which should you, learn first?<\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/proleed.academy\/blog\/r-vs-python-for-data-science-which-should-you-learn-first\/#topic7\">\n\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-chevron-right\"><\/i>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">FAQs on R vs Python for Data Science<\/span>\n\t\t\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-66 elementor-top-column elementor-element elementor-element-51fac71\" data-id=\"51fac71\" data-element_type=\"column\" data-e-type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-8a32294 elementor-widget elementor-widget-heading\" data-id=\"8a32294\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">R vs Python for Data Science - Which should you, learn first?<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c1e4083 elementor-widget elementor-widget-text-editor\" data-id=\"c1e4083\" data-element_type=\"widget\" data-e-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\t\t<p>Being proficient in programming language is one of the most crucial skills that every data analyst must possess. Data analysts often use SQL to communicate with databases, but Python and R are the two primary programming languages that are mainly used when it comes to cleaning, manipulating, analyzing, and visualizing data.<\/p><p>Both languages have become the backbone of statistical analysis and data visualization, laying the foundation for a rewarding <strong><a href=\"https:\/\/proleed.academy\/blog\/roadmap-in-it-to-achieve-the-highest-career-growth-as-a-data-scientist\/\">career in data science<\/a><\/strong>.<\/p><p>In this blog, we will explore, whether you need to learn both languages or if mastering just one is sufficient for the long run. But before going any further, let&#8217;s take a closer look at exactly what both of them are and why they exist.<\/p><p><strong>You shouldn&#8217;t miss this- <\/strong><a href=\"https:\/\/proleed.academy\/blog\/top-it-fields-that-can-give-you-highest-salary-hike-in-2024\/\"><strong>Top IT fields that can give you the highest salary hike in 2024<\/strong><\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a8c1abc elementor-widget elementor-widget-spacer\" data-id=\"a8c1abc\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a61ad52 elementor-widget elementor-widget-menu-anchor\" data-id=\"a61ad52\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"menu-anchor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-menu-anchor\" id=\"topic1\"><\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6b25fd7 elementor-widget elementor-widget-heading\" data-id=\"6b25fd7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">What is Python?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1e2adfa elementor-widget elementor-widget-text-editor\" data-id=\"1e2adfa\" data-element_type=\"widget\" data-e-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\t\t<p>Python is a high-level programming language known for its ease of learning, simplicity, and readability. Developed in the late 1980s by <a href=\"https:\/\/en.wikipedia.org\/wiki\/Python_(programming_language)#:~:text=Python%20was%20conceived%20in%20the,implementation%20began%20in%20December%201989.\">Guido van Rossum<\/a>, Python has a design philosophy that emphasizes code and allows programmers to express concepts in fewer codes.<\/p><p>This language has many key strengths, some of which are listed below:<\/p><ul><li><strong>Ease of Learning:<\/strong> Python is a well-known programming language for its beginner-friendly nature. With its clean syntax and extensive documentation, Python is extremely helpful for beginning programmers. Those who are new to this programming field can quickly grasp fundamental concepts with little difficulty.<\/li><li><strong>Rich Ecosystem:<\/strong> Despite Python&#8217;s popularity, it has a vast ecosystem of libraries and frameworks that are suitable for data analysis, machine learning, and data visualization such as NumPy, Pandas, Matplotib, and Scikit-Learn.<\/li><li><strong>Strong Community Support:<\/strong> This language was developed many years ago and has a large community that can assist programmers at all levels. There are many guides, instructional videos, and highly understandable documentation for Python to help developers learn the language faster and better<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b2557d8 elementor-widget elementor-widget-spacer\" data-id=\"b2557d8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4705e1d elementor-widget elementor-widget-menu-anchor\" data-id=\"4705e1d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"menu-anchor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-menu-anchor\" id=\"topic2\"><\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b89b929 elementor-widget elementor-widget-heading\" data-id=\"b89b929\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">What is R?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e14e269 elementor-widget elementor-widget-text-editor\" data-id=\"e14e269\" data-element_type=\"widget\" data-e-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\t\t<p>The very popular language known as R allows people to handle a massive amount of data and perform a vast range of statistical and analytical tasks. This language is developed by <a href=\"https:\/\/en.wikipedia.org\/wiki\/R_(programming_language)\">Ross Ihaka and Robert Gentleman<\/a> at the University Of Auckland, New Zealand.<\/p><p>The following are a few of the key strengths of the R language:<\/p><ul><li><strong>Statistical Prowess:<\/strong> The great majority of people know R as the language of statistics. R excels at statistical modeling and hypothesis testing, offering a comprehensive suite of functions and packages for data analysis.<\/li><li><strong>Visualization capabilities:<\/strong> the R language provides many packages that facilitate the creation of intricate and visually appealing data visualizations, including packages such as ggplot2 and Shiny.<\/li><li><strong>Exemplary support for data wrangling:<\/strong> R is an open-source text processing language that provides a lot of packages to manipulate data. For example, DPLYR is a powerful tool that helps you transform messy data into a more structured form.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6a9cb96 elementor-widget elementor-widget-image\" data-id=\"6a9cb96\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"640\" height=\"640\" src=\"https:\/\/proleed.academy\/blog\/wp-content\/uploads\/2024\/02\/comparison-chart-between-python-vs-r.webp\" class=\"attachment-full size-full wp-image-1232\" alt=\"comparison-chart-between-python-vs-r\" srcset=\"https:\/\/proleed.academy\/blog\/wp-content\/uploads\/2024\/02\/comparison-chart-between-python-vs-r.webp 640w, https:\/\/proleed.academy\/blog\/wp-content\/uploads\/2024\/02\/comparison-chart-between-python-vs-r-300x300.webp 300w, https:\/\/proleed.academy\/blog\/wp-content\/uploads\/2024\/02\/comparison-chart-between-python-vs-r-150x150.webp 150w\" sizes=\"(max-width: 640px) 100vw, 640px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5f62a79 elementor-widget elementor-widget-spacer\" data-id=\"5f62a79\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d111524 elementor-widget elementor-widget-menu-anchor\" data-id=\"d111524\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"menu-anchor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-menu-anchor\" id=\"topic3\"><\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-683bf27 elementor-widget elementor-widget-heading\" data-id=\"683bf27\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Industry Adoption and Job Market<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-01e14c6 elementor-widget elementor-widget-text-editor\" data-id=\"01e14c6\" data-element_type=\"widget\" data-e-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\t\t<p>In the <a href=\"https:\/\/towardsdatascience.com\/r-vs-python-comparing-data-science-job-postings-seeking-r-or-python-specialists-2c39ba36d471\"><strong>job market<\/strong><\/a>, Python skills are high in demand due to their versatility across industries such as finance, healthcare, technology, and retail.<\/p><p>R holds a significant place in academia, research, and industries like pharmaceuticals, where statistical analysis is of prime importance. The below chart provides you with a comparative overview of the demand for Python and R skills in various sectors.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a35faf4 elementor-widget elementor-widget-image\" data-id=\"a35faf4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"640\" height=\"640\" src=\"https:\/\/proleed.academy\/blog\/wp-content\/uploads\/2024\/02\/industry-adoption-and-job-market.webp\" class=\"attachment-full size-full wp-image-1233\" alt=\"industry-adoption-and-job-market\" srcset=\"https:\/\/proleed.academy\/blog\/wp-content\/uploads\/2024\/02\/industry-adoption-and-job-market.webp 640w, https:\/\/proleed.academy\/blog\/wp-content\/uploads\/2024\/02\/industry-adoption-and-job-market-300x300.webp 300w, https:\/\/proleed.academy\/blog\/wp-content\/uploads\/2024\/02\/industry-adoption-and-job-market-150x150.webp 150w\" sizes=\"(max-width: 640px) 100vw, 640px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-58b9b07 elementor-widget elementor-widget-text-editor\" data-id=\"58b9b07\" data-element_type=\"widget\" data-e-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\t\t<p>Now, we have a basic understanding of which is the main difference between R and Python. Now let me give you a look at why we choose R and Python for data science.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3f59801 elementor-widget elementor-widget-spacer\" data-id=\"3f59801\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-fa6a723 elementor-widget elementor-widget-menu-anchor\" data-id=\"fa6a723\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"menu-anchor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-menu-anchor\" id=\"topic4\"><\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ae90f84 elementor-widget elementor-widget-heading\" data-id=\"ae90f84\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Why choose Python for Data Science?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ead1aba elementor-widget elementor-widget-text-editor\" data-id=\"ead1aba\" data-element_type=\"widget\" data-e-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\t\t<p>The most prevalent coding language for data science is Python because it has built-in mathematical libraries and functions that make it easier for them to perform data analysis effectively. Python Programming for data science is popular not just because of its powerful libraries like NumPy, Pandas, and Scikit-learn, but because it combines its simplicity and vast ecosystem to complete a wide range of data science tasks efficiently.<\/p><p>Python&#8217;s rich library and frameworks make it an indispensable tool for data scientists to transform complex data into actionable insights and innovative solutions. It has become favorable among data scientists due to:<\/p><ul><li>Its extensive libraries like NumPy, TensorFlow, Keras, Pandas, and Scikit-learn.<\/li><li>Support in a wide range of data science and machine learning tasks.<\/li><li>Its ease of learning and the level of community support that it offers.<\/li><\/ul><p>To gain advanced knowledge of Python, which will aid you in the field of data science, opt for Python training. This will provide you with both basic and advanced insights into the language<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-66b81f0 elementor-widget elementor-widget-spacer\" data-id=\"66b81f0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-18dbd91 elementor-widget elementor-widget-menu-anchor\" data-id=\"18dbd91\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"menu-anchor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-menu-anchor\" id=\"topic5\"><\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3632dd8 elementor-widget elementor-widget-heading\" data-id=\"3632dd8\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Why choose R for Data Science?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b923f31 elementor-widget elementor-widget-text-editor\" data-id=\"b923f31\" data-element_type=\"widget\" data-e-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\t\t<p>R is widely used by statisticians and data miners for handling, storing, and analyzing data, as well as for developing statistical software and conducting data analysis. This language is particularly well-suited for research, academia, and any field requiring extensive statistical analysis.<\/p><p>With R programming, data scientists can derive meaningful insights from data across multiple dimensions using multi-panel charts. To ensure the best possible outcomes in data analysis, the R language is specially designed to allow the mixing and matching of various statistical and predictive models. It has become favorable due to:<\/p><ul><li>Its extensive collection of tools that can be used for statistical analysis.<\/li><li>Its powerful library for the visualization of data called ggplot2<\/li><li>Its strong presence in academics and research.<\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b928d16 elementor-widget elementor-widget-image\" data-id=\"b928d16\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"640\" height=\"640\" src=\"https:\/\/proleed.academy\/blog\/wp-content\/uploads\/2024\/02\/key-differences-between-python-vs-r.webp\" class=\"attachment-full size-full wp-image-1234\" alt=\"key differences between python vs R\" srcset=\"https:\/\/proleed.academy\/blog\/wp-content\/uploads\/2024\/02\/key-differences-between-python-vs-r.webp 640w, https:\/\/proleed.academy\/blog\/wp-content\/uploads\/2024\/02\/key-differences-between-python-vs-r-300x300.webp 300w, https:\/\/proleed.academy\/blog\/wp-content\/uploads\/2024\/02\/key-differences-between-python-vs-r-150x150.webp 150w\" sizes=\"(max-width: 640px) 100vw, 640px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1d6c4d3 elementor-widget elementor-widget-spacer\" data-id=\"1d6c4d3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7ce6bda elementor-widget elementor-widget-menu-anchor\" data-id=\"7ce6bda\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"menu-anchor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-menu-anchor\" id=\"topic6\"><\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cde22f6 elementor-widget elementor-widget-heading\" data-id=\"cde22f6\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">R VS Python for Data Science - Which should you, learn first?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5cb2be8 elementor-widget elementor-widget-text-editor\" data-id=\"5cb2be8\" data-element_type=\"widget\" data-e-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\t\t<p>There are indeed several programming languages available for use throughout your data science journey. However, upon critical analysis, it becomes evident that no single programming language is the best solution for every problem encountered in data science. As always, it&#8217;s important to consider the context before making any decisions. You should ask yourself several questions, such as:<\/p><ul><li>Do you have any prior programming experience?<\/li><li>Which programming languages do your colleagues use?<\/li><li>Are there specific areas within data science that interest you?<\/li><li>What kind of data will you be working with?<\/li><li>Which language offers better support and resources suited to your learning style?<\/li><li>What type of problem are you trying to solve?<\/li><\/ul><p>Once these questions are answered, you will be better positioned to choose the right language.<\/p><p>Both Python and R are excellent choices for data science. However, if you are confused about which one to choose, consider your specific needs and goals. If you are still unable to decide, you can <a href=\"https:\/\/proleed.academy\/contact.php\"><strong>reach out to us for assistance<\/strong><\/a>. To support you in your learning journey, we have prepared a wide range of <a href=\"https:\/\/proleed.academy\/data-science-training-course.php\"><strong>data science training course<\/strong><\/a>\u00a0where we provide you with comprehensive, hands-on training designed to equip you with the skills needed to excel in the field.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-80370ab elementor-widget elementor-widget-spacer\" data-id=\"80370ab\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-37636e0 elementor-widget elementor-widget-menu-anchor\" data-id=\"37636e0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"menu-anchor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-menu-anchor\" id=\"topic7\"><\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5823949 elementor-widget elementor-widget-heading\" data-id=\"5823949\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">FAQs on R vs Python for Data Science<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1dcd1d5 elementor-widget elementor-widget-accordion\" data-id=\"1dcd1d5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"accordion.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-accordion\">\n\t\t\t\t\t\t\t<div class=\"elementor-accordion-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-3121\" class=\"elementor-tab-title\" data-tab=\"1\" role=\"button\" aria-controls=\"elementor-tab-content-3121\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon elementor-accordion-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-closed\"><i class=\"fas fa-angle-down\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-opened\"><i class=\"fas fa-angle-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-accordion-title\" tabindex=\"0\">Should I learn R or Python first?<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-3121\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"region\" aria-labelledby=\"elementor-tab-title-3121\">Both languages are considered the most popular languages for data science. However, professionals recommended that beginners should learn Python before learning R as it is easy to learn and a beginner-friendly language.<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-accordion-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-3122\" class=\"elementor-tab-title\" data-tab=\"2\" role=\"button\" aria-controls=\"elementor-tab-content-3122\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon elementor-accordion-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-closed\"><i class=\"fas fa-angle-down\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-opened\"><i class=\"fas fa-angle-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-accordion-title\" tabindex=\"0\">Can I learn both R and Python for Data Science?<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-3122\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"2\" role=\"region\" aria-labelledby=\"elementor-tab-title-3122\">Yes, by learning both of them you will be able to increase your versatility and employment opportunities within data science.<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-accordion-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-3123\" class=\"elementor-tab-title\" data-tab=\"3\" role=\"button\" aria-controls=\"elementor-tab-content-3123\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon elementor-accordion-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-closed\"><i class=\"fas fa-angle-down\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-opened\"><i class=\"fas fa-angle-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-accordion-title\" tabindex=\"0\">How do the job prospects compare for R and Python skills?<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-3123\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"3\" role=\"region\" aria-labelledby=\"elementor-tab-title-3123\">In terms of job prospectus, Python is a much more flexible language as it is used in many different industries, while R remains important in fields like statistics and research.<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-accordion-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-3124\" class=\"elementor-tab-title\" data-tab=\"4\" role=\"button\" aria-controls=\"elementor-tab-content-3124\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon elementor-accordion-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-closed\"><i class=\"fas fa-angle-down\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-opened\"><i class=\"fas fa-angle-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-accordion-title\" tabindex=\"0\">Is R or Python better for machine learning?<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-3124\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"4\" role=\"region\" aria-labelledby=\"elementor-tab-title-3124\">Because of its powerful libraries such as TensorFlow, Scikit-Learn, Pandas, and more, Python is often preferred by machine learning professionals due to its great performance.<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-accordion-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-3125\" class=\"elementor-tab-title\" data-tab=\"5\" role=\"button\" aria-controls=\"elementor-tab-content-3125\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon elementor-accordion-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-closed\"><i class=\"fas fa-angle-down\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-opened\"><i class=\"fas fa-angle-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-accordion-title\" tabindex=\"0\">Are there any prerequisites to learning R or Python for data science?<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-3125\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"5\" role=\"region\" aria-labelledby=\"elementor-tab-title-3125\">There are no specific prerequisites, but if you have some familiarity with programming and mathematics, it would be helpful.<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-accordion-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-3126\" class=\"elementor-tab-title\" data-tab=\"6\" role=\"button\" aria-controls=\"elementor-tab-content-3126\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon elementor-accordion-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-closed\"><i class=\"fas fa-angle-down\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-opened\"><i class=\"fas fa-angle-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-accordion-title\" tabindex=\"0\">Which language is faster for data processing?<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-3126\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"6\" role=\"region\" aria-labelledby=\"elementor-tab-title-3126\">Python is considered the fastest programming language for data processing, especially with libraries like Pandas and NumPy.<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-accordion-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-3127\" class=\"elementor-tab-title\" data-tab=\"7\" role=\"button\" aria-controls=\"elementor-tab-content-3127\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon elementor-accordion-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-closed\"><i class=\"fas fa-angle-down\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-accordion-icon-opened\"><i class=\"fas fa-angle-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-accordion-title\" tabindex=\"0\">Is Python capable of doing everything R can?<\/a>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-3127\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"7\" role=\"region\" aria-labelledby=\"elementor-tab-title-3127\"><div class=\"elementor-element elementor-element-09b39d2 elementor-widget elementor-widget-eael-adv-accordion\" data-id=\"09b39d2\" data-element_type=\"widget\" data-widget_type=\"eael-adv-accordion.default\"><div class=\"elementor-widget-container\"><div id=\"eael-adv-accordion-09b39d2\" class=\"eael-adv-accordion\" data-scroll-on-click=\"no\" data-scroll-speed=\"300\" data-accordion-id=\"09b39d2\" data-accordion-type=\"accordion\" data-toogle-speed=\"300\"><div class=\"eael-accordion-list\"><div id=\"elementor-tab-content-1017\" class=\"eael-accordion-content clearfix\" data-tab=\"7\" aria-labelledby=\"is-python-capable-of-doing-everything-r-can\"><p>The majority of data analysis and data science tasks that can be performed in R can also be performed in Python, and vice versa. Furthermore, both Python and R have the capability of writing several\u00a0<a href=\"https:\/\/techvidvan.com\/tutorials\/data-science-algorithms\/\"><strong>data science algorithms<\/strong><\/a> as well as deep learning algorithms that have a wide range of performance, syntax, and implementations. However, the performance, syntax, and implementations of specific algorithms may differ depending on the language used.<\/p><\/div><\/div><\/div><\/div><\/div><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b5604da elementor-widget elementor-widget-spacer\" data-id=\"b5604da\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Table of contents What is Python? What is R? Industry Adoption and Job Market Why choose Python for Data Science? [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":1205,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"disabled","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[5],"tags":[],"class_list":["post-1203","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-science"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>R vs Python for Data Science - Which should you, learn first?<\/title>\n<meta name=\"description\" content=\"Confused about whether to learn R or Python for data science? 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