{"id":18446,"date":"2026-06-11T01:43:08","date_gmt":"2026-06-11T00:43:08","guid":{"rendered":"https:\/\/kifcom360.com\/?p=18446"},"modified":"2026-06-11T01:43:16","modified_gmt":"2026-06-11T00:43:16","slug":"python-vs-r-data-science","status":"publish","type":"post","link":"https:\/\/kifcom360.com\/en\/python-vs-r-data-science\/","title":{"rendered":"Python vs R for Data Science 2026: Which Is Better?"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"18446\" class=\"elementor elementor-18446\">\n\t\t\t\t<div class=\"elementor-element elementor-element-54a6049 e-con-full e-flex wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no mk-enable-fade-animation-none mk-sticky-column-false mk-sticky-column-disable-tablet e-con e-parent\" data-id=\"54a6049\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;gradient&quot;,&quot;mk-animation-effect&quot;:&quot;none&quot;,&quot;mk_ext_is_sticky&quot;:&quot;false&quot;}\">\n\t\t<div class=\"elementor-element elementor-element-f5a1966 e-con-full e-flex wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no mk-enable-fade-animation-none mk-sticky-column-false mk-sticky-column-disable-tablet e-con e-child\" data-id=\"f5a1966\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;mk-animation-effect&quot;:&quot;none&quot;,&quot;mk_ext_is_sticky&quot;:&quot;false&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1a3cace mk-enable-fade-animation-none elementor-widget elementor-widget-text-editor\" data-id=\"1a3cace\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;mk-animation-effect&quot;:&quot;none&quot;,&quot;mk_ext_is_infinite&quot;:&quot;false&quot;,&quot;mk_ext_is_scrollme&quot;:&quot;false&quot;}\" 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<span><span><a href=\"https:\/\/kifcom360.com\/en\/\">Accueil<\/a><\/span><\/span>\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-50334fd mk-enable-fade-animation-none elementor-widget elementor-widget-wpr-post-title\" data-id=\"50334fd\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;mk-animation-effect&quot;:&quot;none&quot;,&quot;mk_ext_is_infinite&quot;:&quot;false&quot;,&quot;mk_ext_is_scrollme&quot;:&quot;false&quot;}\" data-widget_type=\"wpr-post-title.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"wpr-post-title\">Python vs R for Data Science 2026: Which Is Better?<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2309616 mk-enable-fade-animation-none elementor-widget elementor-widget-text-editor\" data-id=\"2309616\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;mk-animation-effect&quot;:&quot;none&quot;,&quot;mk_ext_is_infinite&quot;:&quot;false&quot;,&quot;mk_ext_is_scrollme&quot;:&quot;false&quot;}\" 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>Written by : <a style=\"color: #ffffff; text-decoration: underline; text-decoration-thickness: 1.4px; text-underline-offset: 4px;\" href=\"https:\/\/www.linkedin.com\/in\/ilias-hajjoub-391964208\/\" target=\"_blank\" rel=\"noopener noreferrer\">Ilias Hajjoub<\/a>\u00a0 |\u00a0 Reading time : 14 min\u00a0 |\u00a0 10\u00a0 Juin 2026<\/p>\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<\/div>\n\t\t<div class=\"elementor-element elementor-element-7b92756 e-con-full e-flex wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no mk-enable-fade-animation-none mk-sticky-column-false mk-sticky-column-disable-tablet e-con e-parent\" data-id=\"7b92756\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;mk-animation-effect&quot;:&quot;none&quot;,&quot;mk_ext_is_sticky&quot;:&quot;false&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-4ab3715 mk-enable-fade-animation-none elementor-widget elementor-widget-text-editor\" data-id=\"4ab3715\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;mk-animation-effect&quot;:&quot;none&quot;,&quot;mk_ext_is_infinite&quot;:&quot;false&quot;,&quot;mk_ext_is_scrollme&quot;:&quot;false&quot;}\" 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>Choosing between Python and R for data science can feel confusing because both languages are powerful, respected, and widely used. The honest answer in 2026 is simple: Python is the better first choice for most people entering data science, especially if your goal is machine learning, AI, automation, data engineering, or production systems. R is still the better choice when your work is deeply statistical, research heavy, visualization focused, or connected to academic, healthcare, pharma, or analytical reporting environments.<\/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-387292b mk-enable-fade-animation-none elementor-widget elementor-widget-text-editor\" data-id=\"387292b\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;mk-animation-effect&quot;:&quot;none&quot;,&quot;mk_ext_is_infinite&quot;:&quot;false&quot;,&quot;mk_ext_is_scrollme&quot;:&quot;false&quot;}\" 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><span style=\"font-weight: 400;\">That does not mean one language is \u201cgood\u201d and the other is \u201cbad.\u201d It means they were built with different strengths. Python is a general purpose programming language that became dominant in data science because of its readable syntax, massive ecosystem, and strong machine learning libraries. R is a statistical programming language built around data analysis, modeling, and graphics from the beginning. IBM summarizes the core difference well: Python is general purpose, while R has its roots in statistical analysis.<\/span><\/p><p><span style=\"font-weight: 400;\">In 2026, the smarter question is not always <\/span><b>\u201cPython vs R, which is better?\u201d<\/b><span style=\"font-weight: 400;\"> The smarter question is <\/span><b>\u201cWhich one fits the type of data work I want to do?\u201d<\/b><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-97debd4 e-con-full e-flex wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no mk-enable-fade-animation-none mk-sticky-column-false mk-sticky-column-disable-tablet e-con e-child\" data-id=\"97debd4\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;mk-animation-effect&quot;:&quot;none&quot;,&quot;mk_ext_is_sticky&quot;:&quot;false&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-b246a08 mk-enable-fade-animation-none elementor-widget elementor-widget-heading\" data-id=\"b246a08\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;mk-animation-effect&quot;:&quot;none&quot;,&quot;mk_ext_is_infinite&quot;:&quot;false&quot;,&quot;mk_ext_is_scrollme&quot;:&quot;false&quot;}\" 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\">Content Table <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-eb077e1 mk-enable-fade-animation-none elementor-widget elementor-widget-text-editor\" data-id=\"eb077e1\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;mk-animation-effect&quot;:&quot;none&quot;,&quot;mk_ext_is_infinite&quot;:&quot;false&quot;,&quot;mk_ext_is_scrollme&quot;:&quot;false&quot;}\" 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<ul><li><a href=\"#what-is-python-in-data-science\">What is Python in data science?<\/a><\/li><li><a href=\"#what-is-r-in-data-science\">What is R in data science?<\/a><\/li><li><a href=\"#python-vs-r-the-real-difference\">Python vs R: the real difference<\/a><\/li><li><a href=\"#why-python-is-usually-better-for-data-science-in-2026\">Why Python is usually better for data science in 2026<\/a><\/li><li><a href=\"#why-r-is-still-extremely-valuable-in-2026\">Why R is still extremely valuable in 2026<\/a><\/li><li><a href=\"#python-vs-r-for-the-data-science-workflow\">Python vs R for the data science workflow<\/a><\/li><li><a href=\"#python-libraries-every-data-scientist-should-know\">Python libraries every data scientist should know<\/a><\/li><li><a href=\"#r-packages-every-data-scientist-should-know\">R packages every data scientist should know<\/a><\/li><li><a href=\"#python-vs-r-for-jobs-and-career-growth\">Python vs R for jobs and career growth<\/a><\/li><li><a href=\"#can-python-and-r-be-used-together\">Can Python and R be used together?<\/a><\/li><li><a href=\"#is-python-easier-than-r\">Is Python easier than R?<\/a><\/li><li><a href=\"#is-python-enough-for-data-science\">Is Python enough for data science?<\/a><\/li><li><a href=\"#python-vs-r-for-machine-learning\">Python vs R for machine learning<\/a><\/li><li><a href=\"#faq\">FAQ<\/a><\/li><\/ul>\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<div class=\"elementor-element elementor-element-245a3eb mk-enable-fade-animation-none elementor-widget elementor-widget-image\" data-id=\"245a3eb\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;mk-animation-effect&quot;:&quot;none&quot;,&quot;mk_ext_is_infinite&quot;:&quot;false&quot;,&quot;mk_ext_is_scrollme&quot;:&quot;false&quot;}\" 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=\"1024\" height=\"683\" src=\"https:\/\/kifcom360.com\/wp-content\/uploads\/2026\/06\/37f06ba1-7b37-470c-883c-f288b6ffe689-1024x683.jpg\" class=\"attachment-large size-large wp-image-18454\" alt=\"Python vs R\" srcset=\"https:\/\/kifcom360.com\/wp-content\/uploads\/2026\/06\/37f06ba1-7b37-470c-883c-f288b6ffe689-1024x683.jpg 1024w, https:\/\/kifcom360.com\/wp-content\/uploads\/2026\/06\/37f06ba1-7b37-470c-883c-f288b6ffe689-300x200.jpg 300w, https:\/\/kifcom360.com\/wp-content\/uploads\/2026\/06\/37f06ba1-7b37-470c-883c-f288b6ffe689-768x512.jpg 768w, https:\/\/kifcom360.com\/wp-content\/uploads\/2026\/06\/37f06ba1-7b37-470c-883c-f288b6ffe689.jpg 1536w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/>\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-6387a86 what-is-python-in-data-science mk-enable-fade-animation-none elementor-widget elementor-widget-heading\" data-id=\"6387a86\" data-element_type=\"widget\" data-e-type=\"widget\" id=\"what-is-python-in-data-science\" data-settings=\"{&quot;mk-animation-effect&quot;:&quot;none&quot;,&quot;mk_ext_is_infinite&quot;:&quot;false&quot;,&quot;mk_ext_is_scrollme&quot;:&quot;false&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What is Python in data science?\n<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-de93863 mk-enable-fade-animation-none elementor-widget elementor-widget-text-editor\" data-id=\"de93863\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;mk-animation-effect&quot;:&quot;none&quot;,&quot;mk_ext_is_infinite&quot;:&quot;false&quot;,&quot;mk_ext_is_scrollme&quot;:&quot;false&quot;}\" 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><span style=\"font-weight: 400;\">Python is a general-purpose programming language used for web development, automation, software engineering, artificial intelligence, machine learning, data analysis, and data engineering. The official Python site describes it as a language that helps developers work quickly and integrate systems effectively.<\/span><\/p><p><span style=\"font-weight: 400;\">In data science, Python usually appears through tools like:<\/span><\/p><table><tbody><tr><td><p><b>Data science task<\/b><\/p><\/td><td><p><b>Common Python tools<\/b><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Data cleaning and manipulation<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">pandas, NumPy, Polars<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Machine learning<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">scikit-learn, XGBoost, LightGBM<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Deep learning and AI<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">PyTorch, TensorFlow, Keras<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Visualization<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Matplotlib, Seaborn, Plotly<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Notebooks<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Jupyter, Google Colab<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Data engineering<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Airflow, dbt with Python, PySpark<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Apps and dashboards<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Streamlit, Dash, FastAPI<\/span><\/p><\/td><\/tr><\/tbody><\/table><p><span style=\"font-weight: 400;\">Python\u2019s strength is that it can move from analysis to application. A data scientist can clean data, train a model, build an API, automate a workflow, connect to databases, and deploy a machine learning product without leaving the Python ecosystem.<\/span><\/p><p><span style=\"font-weight: 400;\">That is a major reason Python is so strong in 2026. The Python Developers Survey 2024 reported heavy Python usage in data analysis, web development, machine learning, data engineering, web scraping, and academic research.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-ea84409 e-flex e-con-boxed wpr-particle-no wpr-jarallax-no wpr-parallax-no wpr-sticky-section-no wpr-column-slider-no wpr-equal-height-no mk-enable-fade-animation-none mk-sticky-column-false mk-sticky-column-disable-tablet e-con e-child\" data-id=\"ea84409\" data-element_type=\"container\" data-e-type=\"container\" data-settings=\"{&quot;mk-animation-effect&quot;:&quot;none&quot;,&quot;mk_ext_is_sticky&quot;:&quot;false&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c3caf27 what-is-r-in-data-science mk-enable-fade-animation-none elementor-widget elementor-widget-heading\" data-id=\"c3caf27\" data-element_type=\"widget\" data-e-type=\"widget\" id=\"what-is-r-in-data-science\" data-settings=\"{&quot;mk-animation-effect&quot;:&quot;none&quot;,&quot;mk_ext_is_infinite&quot;:&quot;false&quot;,&quot;mk_ext_is_scrollme&quot;:&quot;false&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What is R in data science?\n<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-167a4c8 mk-enable-fade-animation-none elementor-widget elementor-widget-text-editor\" data-id=\"167a4c8\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;mk-animation-effect&quot;:&quot;none&quot;,&quot;mk_ext_is_infinite&quot;:&quot;false&quot;,&quot;mk_ext_is_scrollme&quot;:&quot;false&quot;}\" 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><span style=\"font-weight: 400;\">R is a language and environment for statistical computing and graphics. The R Project defines R as free software for statistical computing and graphics that runs on Unix platforms, Windows, and macOS.<\/span><\/p><p><span style=\"font-weight: 400;\">In data science, R is especially strong when the work is statistical, exploratory, research-based, or reporting-focused. It is widely used by statisticians, researchers, analysts, economists, epidemiologists, pharma teams, academic institutions, and people who need strong statistical methods with clean analytical outputs.<\/span><\/p><p><span style=\"font-weight: 400;\">Common R tools include:<\/span><\/p><table><tbody><tr><td><p><b>Data science task<\/b><\/p><\/td><td><p><b>Common R tools<\/b><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Data cleaning and transformation<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">dplyr, tidyr, data.table<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Visualization<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">ggplot2<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Statistical modeling<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">base R, MASS, lme4, survival<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Machine learning<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">tidymodels, caret, xgboost<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Interactive apps<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Shiny<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Reports and publishing<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">R Markdown, Quarto<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Development environment<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">RStudio, now Posit Workbench<\/span><\/p><\/td><\/tr><\/tbody><\/table><p><span style=\"font-weight: 400;\">The tidyverse is one of R\u2019s biggest advantages. It is an opinionated collection of R packages designed for data science, sharing a common grammar, philosophy, and data structure approach. This makes R feel very natural for analysts who think in terms of tables, transformations, summaries, models, and charts.<\/span><\/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-9bd22f9 mk-enable-fade-animation-none elementor-widget elementor-widget-hfe-infocard\" data-id=\"9bd22f9\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;mk-animation-effect&quot;:&quot;none&quot;,&quot;mk_ext_is_infinite&quot;:&quot;false&quot;,&quot;mk_ext_is_scrollme&quot;:&quot;false&quot;}\" data-widget_type=\"hfe-infocard.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\n\t\t<div class=\"hfe-infocard\">\n\t\t\t\t\t\t\t\t\t<div class=\"hfe-infocard-title-wrap\">\n\t\t\t\t<h4 class=\"hfe-infocard-title elementor-inline-editing\" data-elementor-setting-key=\"infocard_title\" data-elementor-inline-editing-toolbar=\"basic\" >Not sure what\u2019s blocking your digital growth? Let\u2019s find it.<\/h4>\t\t\t<\/div>\n\t\t\t\t\t\t<div class=\"hfe-infocard-text-wrap\">\n\t\t\t\t<div class=\"hfe-infocard-text elementor-inline-editing\" data-elementor-setting-key=\"infocard_description\" data-elementor-inline-editing-toolbar=\"advanced\">\n\t\t\t\t\tYour website, SEO, content, ads, analytics, and automation tools should work together to bring qualified leads, not just traffic. Kifcom 360 offers a free digital audit to identify what is holding your business back and where the fastest growth opportunities are. As a 360\u00b0 digital agency, Kifcom combines SEO, paid ads, web strategy, analytics, AI, and automation to improve the full digital ecosystem.\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"hfe-button-wrapper elementor-widget-button\">\n\t\t\t\t<a href=\"tel:+212660251511\" class=\"elementor-button-link elementor-button elementor-size-md\">\n\t\t\t\t\t<span class=\"elementor-button-text elementor-inline-editing\"  data-elementor-setting-key=\"infocard_button_text\" data-elementor-inline-editing-toolbar=\"none\">Request my free digital audit<\/span>\n\t\t\t\t<\/a>\n\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\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-95237a5 python-vs-r-the-real-difference mk-enable-fade-animation-none elementor-widget elementor-widget-heading\" data-id=\"95237a5\" data-element_type=\"widget\" data-e-type=\"widget\" id=\"python-vs-r-the-real-difference\" data-settings=\"{&quot;mk-animation-effect&quot;:&quot;none&quot;,&quot;mk_ext_is_infinite&quot;:&quot;false&quot;,&quot;mk_ext_is_scrollme&quot;:&quot;false&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Python vs R: the real difference<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a5884c9 mk-enable-fade-animation-none elementor-widget elementor-widget-text-editor\" data-id=\"a5884c9\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;mk-animation-effect&quot;:&quot;none&quot;,&quot;mk_ext_is_infinite&quot;:&quot;false&quot;,&quot;mk_ext_is_scrollme&quot;:&quot;false&quot;}\" 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><span style=\"font-weight: 400;\">The real difference is not only syntax. It is philosophy.<\/span><\/p><p><span style=\"font-weight: 400;\">Python starts from programming and expands into data science.<\/span><span style=\"font-weight: 400;\"><br \/><\/span><span style=\"font-weight: 400;\"> R starts from statistics and expands into programming.<\/span><\/p><p><span style=\"font-weight: 400;\">That difference affects how each language feels in real work.<\/span><\/p><table><tbody><tr><td><p><b>Comparison point<\/b><\/p><\/td><td><p><b>Python<\/b><\/p><\/td><td><p><b>R<\/b><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Original identity<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">General purpose programming language<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Statistical computing language<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Best mental model<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Build systems and automate workflows<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Analyze, model, visualize, and report data<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Learning curve<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Easier for general beginners<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Easier for people with statistics background<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Syntax style<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Clean, readable, software oriented<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Analytical, formula based, statistics oriented<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Machine learning ecosystem<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Stronger overall<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Good, but less dominant in production AI<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Statistical ecosystem<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Strong<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Excellent<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Visualization<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Flexible and broad<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Excellent for analytical and publication quality charts<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Production deployment<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Stronger<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Possible, but less common outside analytics apps<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Community<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Larger general developer community<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Strong statistical and research community<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Best use case<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">AI, ML, automation, apps, pipelines<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Statistics, reports, research, dashboards, regulated analytics<\/span><\/p><\/td><\/tr><\/tbody><\/table>\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-6777202 why-python-is-usually-better-for-data-science-in-2026 mk-enable-fade-animation-none elementor-widget elementor-widget-heading\" data-id=\"6777202\" data-element_type=\"widget\" data-e-type=\"widget\" id=\"why-python-is-usually-better-for-data-science-in-2026\" data-settings=\"{&quot;mk-animation-effect&quot;:&quot;none&quot;,&quot;mk_ext_is_infinite&quot;:&quot;false&quot;,&quot;mk_ext_is_scrollme&quot;:&quot;false&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Why Python is usually better for data science in 2026\n<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1a0bcb3 mk-enable-fade-animation-none elementor-widget elementor-widget-text-editor\" data-id=\"1a0bcb3\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;mk-animation-effect&quot;:&quot;none&quot;,&quot;mk_ext_is_infinite&quot;:&quot;false&quot;,&quot;mk_ext_is_scrollme&quot;:&quot;false&quot;}\" 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><span style=\"font-weight: 400;\">Python is usually the better choice for people who want the widest possible data science career path. It is used across analytics, machine learning, AI engineering, web development, automation, cloud, and software products.<\/span><\/p><p><span style=\"font-weight: 400;\">Stack Overflow\u2019s 2025 Developer Survey shows Python at 57.9% among all respondents, while R appears at 4.9%. The same survey notes that Python\u2019s adoption accelerated from 2024 to 2025 and links that growth to AI, data science, and back-end development.<\/span><\/p><p><span style=\"font-weight: 400;\">Python also has a much larger package ecosystem. PyPI lists more than 827,000 projects, while CRAN lists more than 23,900 available R packages. This does not automatically make Python \u201cbetter,\u201d but it does show how broad Python\u2019s software ecosystem has become.<\/span><\/p><h5><b>Python is stronger for machine learning and AI<\/b><\/h5><p><span style=\"font-weight: 400;\">Python dominates modern machine learning because the main tools used in applied AI are Python first. Scikit-learn provides simple and efficient tools for predictive data analysis. PyTorch is an open source machine learning framework designed to accelerate the path from research prototyping to production deployment. TensorFlow positions itself as an end-to-end open source machine learning platform.<\/span><\/p><p><span style=\"font-weight: 400;\">That matters because data science in 2026 is increasingly connected to AI products, not only notebooks. Companies want models that can be deployed, monitored, integrated into apps, connected to APIs, and used inside real business systems. Python is better suited for that full workflow.<\/span><\/p><h5><b>Python is better for production data science<\/b><\/h5><p><span style=\"font-weight: 400;\">A data science project rarely ends with a chart. In business, the real value often comes when the analysis becomes a repeatable process:<\/span><\/p><table><tbody><tr><td><p><b>Production need<\/b><\/p><\/td><td><p><b>Why Python fits well<\/b><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Connect to APIs<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Python has strong web and automation libraries<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Build data pipelines<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Python works well with orchestration and cloud tools<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Deploy models<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Python integrates with MLOps tools and frameworks<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Build internal tools<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Python can power dashboards, scripts, apps, and APIs<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Work with engineers<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Python is closer to general software development<\/span><\/p><\/td><\/tr><\/tbody><\/table><p><span style=\"font-weight: 400;\">This is why Python often wins in startups, AI teams, product teams, and companies where the data science output needs to become part of a real product.<\/span><\/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-50464da why-r-is-still-extremely-valuable-in-2026 mk-enable-fade-animation-none elementor-widget elementor-widget-heading\" data-id=\"50464da\" data-element_type=\"widget\" data-e-type=\"widget\" id=\"why-r-is-still-extremely-valuable-in-2026\" data-settings=\"{&quot;mk-animation-effect&quot;:&quot;none&quot;,&quot;mk_ext_is_infinite&quot;:&quot;false&quot;,&quot;mk_ext_is_scrollme&quot;:&quot;false&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Why R is still extremely valuable in 2026\n<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ecee318 mk-enable-fade-animation-none elementor-widget elementor-widget-text-editor\" data-id=\"ecee318\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;mk-animation-effect&quot;:&quot;none&quot;,&quot;mk_ext_is_infinite&quot;:&quot;false&quot;,&quot;mk_ext_is_scrollme&quot;:&quot;false&quot;}\" 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><span style=\"font-weight: 400;\">R is not dead. It is not outdated. It is simply more specialized.<\/span><\/p><p><span style=\"font-weight: 400;\">R remains one of the best languages for people who care deeply about statistics, research, exploratory data analysis, reproducible reports, and analytical communication. The R Project itself is centered on statistical computing and graphics, which is exactly why the language still matters.<\/span><\/p><h5><b>R is better for statistical thinking<\/b><\/h5><p><span style=\"font-weight: 400;\">R often feels more natural when your work starts with questions like:<\/span><\/p><table><tbody><tr><td><p><b>Analytical question<\/b><\/p><\/td><td><p><b>Why R is strong<\/b><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Is this effect statistically significant?<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">R has deep statistical modeling support<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">What model explains this relationship?<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Formula syntax is natural for statisticians<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">How do I produce a clean statistical report?<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">R Markdown and Quarto are mature reporting tools<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">How do I visualize uncertainty?<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">ggplot2 and statistical plotting tools are excellent<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">How do I share an interactive analysis?<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Shiny is made for data-driven web apps<\/span><\/p><\/td><\/tr><\/tbody><\/table><p><span style=\"font-weight: 400;\">For analysts and researchers, this matters. R lets you move from raw data to statistical interpretation to a report without forcing everything into a software engineering mindset.<\/span><\/p><h5><b>R is excellent for dashboards and analytical apps<\/b><\/h5><p><span style=\"font-weight: 400;\">Shiny is one of R\u2019s strongest advantages. Posit describes Shiny as a package that makes it easy to build interactive web apps straight from R and Python. For teams that already use R for analysis, Shiny can turn models, tables, and charts into interactive tools without needing a full front-end development stack.<\/span><\/p><p><span style=\"font-weight: 400;\">This is especially valuable in research, pharma, government, education, and internal business analytics.<\/span><\/p><h5><b>R is strong in regulated and research-heavy industries<\/b><\/h5><p><span style=\"font-weight: 400;\">A major sign that R remains relevant is the growth of R-based regulatory and clinical trial work. The R Consortium Submission Working Group has been running FDA pilot projects to test R-based submission packages, reproducibility, Shiny apps, containers, WebAssembly, and modern open source clinical trial workflows. Its first pilot tested whether an R language-based submission package could meet FDA reviewer needs, including code review and analysis reproducibility.<\/span><\/p><p><span style=\"font-weight: 400;\">That is important because regulated environments do not adopt tools casually. If R is being tested and used in these workflows, it means the language still has serious professional value.<\/span><\/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-b07f108 python-vs-r-for-the-data-science-workflow mk-enable-fade-animation-none elementor-widget elementor-widget-heading\" data-id=\"b07f108\" data-element_type=\"widget\" data-e-type=\"widget\" id=\"python-vs-r-for-the-data-science-workflow\" data-settings=\"{&quot;mk-animation-effect&quot;:&quot;none&quot;,&quot;mk_ext_is_infinite&quot;:&quot;false&quot;,&quot;mk_ext_is_scrollme&quot;:&quot;false&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Python vs R for the data science workflow\n<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bd5d1fa mk-enable-fade-animation-none elementor-widget elementor-widget-text-editor\" data-id=\"bd5d1fa\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;mk-animation-effect&quot;:&quot;none&quot;,&quot;mk_ext_is_infinite&quot;:&quot;false&quot;,&quot;mk_ext_is_scrollme&quot;:&quot;false&quot;}\" 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<table><tbody><tr><td><p><b>Workflow step<\/b><\/p><\/td><td><p><b>Python performance<\/b><\/p><\/td><td><p><b>R performance<\/b><\/p><\/td><td><p><b>Best choice<\/b><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Import data<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Excellent<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Excellent<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Tie<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Clean data<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Excellent with pandas and Polars<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Excellent with dplyr and data.table<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Tie<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Explore data<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Strong<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Very strong<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">R slightly ahead for pure EDA<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Statistics<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Good<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Excellent<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">R<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Machine learning<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Excellent<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Good<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Python<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Deep learning<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Excellent<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Limited compared with Python<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Python<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Visualization<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Strong and flexible<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Excellent and elegant<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">R for statistical visuals, Python for flexible production visuals<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Reports<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Good with notebooks and Quarto<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Excellent with R Markdown and Quarto<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">R<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Dashboards<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Strong with Streamlit and Dash<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Excellent with Shiny<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Tie<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Deployment<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Excellent<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Good but less universal<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Python<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Career flexibility<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Excellent<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Strong in specific roles<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Python<\/span><\/p><\/td><\/tr><\/tbody><\/table>\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-b4faf39 python-libraries-every-data-scientist-should-know mk-enable-fade-animation-none elementor-widget elementor-widget-heading\" data-id=\"b4faf39\" data-element_type=\"widget\" data-e-type=\"widget\" id=\"python-libraries-every-data-scientist-should-know\" data-settings=\"{&quot;mk-animation-effect&quot;:&quot;none&quot;,&quot;mk_ext_is_infinite&quot;:&quot;false&quot;,&quot;mk_ext_is_scrollme&quot;:&quot;false&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Python libraries every data scientist should know\n<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-272006f mk-enable-fade-animation-none elementor-widget elementor-widget-text-editor\" data-id=\"272006f\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;mk-animation-effect&quot;:&quot;none&quot;,&quot;mk_ext_is_infinite&quot;:&quot;false&quot;,&quot;mk_ext_is_scrollme&quot;:&quot;false&quot;}\" 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<table><tbody><tr><td><p><b>Library<\/b><\/p><\/td><td><p><b>What it does<\/b><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">pandas<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Data analysis and manipulation<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">NumPy<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Numerical computing<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Matplotlib<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Core visualization<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Seaborn<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Statistical visualization<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Plotly<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Interactive visualization<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">scikit-learn<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Classical machine learning<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">PyTorch<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Deep learning and AI research to deployment<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">TensorFlow<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">End-to-end machine learning platform<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">XGBoost<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Gradient boosting models<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">FastAPI<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Model APIs and production services<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Streamlit<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Fast data apps and prototypes<\/span><\/p><\/td><\/tr><\/tbody><\/table><p><span style=\"font-weight: 400;\">Pandas is one of the core reasons Python became popular in data science. It is described as a fast, powerful, flexible, and easy-to-use data analysis and manipulation tool built on Python.<\/span><\/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-3e6c701 r-packages-every-data-scientist-should-know mk-enable-fade-animation-none elementor-widget elementor-widget-heading\" data-id=\"3e6c701\" data-element_type=\"widget\" data-e-type=\"widget\" id=\"r-packages-every-data-scientist-should-know\" data-settings=\"{&quot;mk-animation-effect&quot;:&quot;none&quot;,&quot;mk_ext_is_infinite&quot;:&quot;false&quot;,&quot;mk_ext_is_scrollme&quot;:&quot;false&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">r-packages-every-data-scientist-should-know<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9e21a40 mk-enable-fade-animation-none elementor-widget elementor-widget-text-editor\" data-id=\"9e21a40\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;mk-animation-effect&quot;:&quot;none&quot;,&quot;mk_ext_is_infinite&quot;:&quot;false&quot;,&quot;mk_ext_is_scrollme&quot;:&quot;false&quot;}\" 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<table><tbody><tr><td><p><b>Package<\/b><\/p><\/td><td><p><b>What it does<\/b><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">tidyverse<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Collection of R packages for data science<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">dplyr<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Data manipulation<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">tidyr<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Data tidying<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">ggplot2<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Data visualization<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">data.table<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Fast data manipulation<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">caret<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Machine learning workflows<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">tidymodels<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Modern modeling framework<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">survival<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Survival analysis<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">lme4<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Mixed effects models<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Shiny<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Interactive web apps<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Quarto<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Reproducible publishing<\/span><\/p><\/td><\/tr><\/tbody><\/table><p><span style=\"font-weight: 400;\">Quarto is especially important in modern data science because it supports Python, R, Julia, and JavaScript, and can publish articles, dashboards, websites, presentations, books, and reports.<\/span><\/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-763a3da python-vs-r-for-jobs-and-career-growth mk-enable-fade-animation-none elementor-widget elementor-widget-heading\" data-id=\"763a3da\" data-element_type=\"widget\" data-e-type=\"widget\" id=\"python-vs-r-for-jobs-and-career-growth\" data-settings=\"{&quot;mk-animation-effect&quot;:&quot;none&quot;,&quot;mk_ext_is_infinite&quot;:&quot;false&quot;,&quot;mk_ext_is_scrollme&quot;:&quot;false&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Python vs R for jobs and career growth\n<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c3f2d38 mk-enable-fade-animation-none elementor-widget elementor-widget-text-editor\" data-id=\"c3f2d38\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;mk-animation-effect&quot;:&quot;none&quot;,&quot;mk_ext_is_infinite&quot;:&quot;false&quot;,&quot;mk_ext_is_scrollme&quot;:&quot;false&quot;}\" 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><span style=\"font-weight: 400;\">If your goal is the broadest career opportunity, Python is the safer first language. It appears more often across data science, AI, data engineering, automation, software development, analytics engineering, and machine learning roles. It also connects better with production systems and engineering teams.<\/span><\/p><p><span style=\"font-weight: 400;\">If your goal is to work in statistics, research, academia, epidemiology, pharma, public health, survey analysis, or scientific reporting, R can be a major advantage. In those environments, employers may value statistical depth more than general software flexibility.<\/span><\/p><p><span style=\"font-weight: 400;\">The best career answer is:<\/span><\/p><table><tbody><tr><td><p><b>Career goal<\/b><\/p><\/td><td><p><b>Recommendation<\/b><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Data analyst<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Learn Python first, then R if the company uses it<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Data scientist<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Learn Python first, then R for statistics and reports<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Machine learning engineer<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Learn Python deeply<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Statistician<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Learn R deeply, then Python<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Researcher<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Learn R, plus Python if you work with AI or automation<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">BI analyst<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Learn SQL first, then Python or R depending on tools<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Pharma statistical programmer<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Learn R, SAS, and reproducible reporting tools<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">AI engineer<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Learn Python deeply<\/span><\/p><\/td><\/tr><\/tbody><\/table>\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-e1191e0 can-python-and-r-be-used-together mk-enable-fade-animation-none elementor-widget elementor-widget-heading\" data-id=\"e1191e0\" data-element_type=\"widget\" data-e-type=\"widget\" id=\"can-python-and-r-be-used-together\" data-settings=\"{&quot;mk-animation-effect&quot;:&quot;none&quot;,&quot;mk_ext_is_infinite&quot;:&quot;false&quot;,&quot;mk_ext_is_scrollme&quot;:&quot;false&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Can Python and R be used together?<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6530390 mk-enable-fade-animation-none elementor-widget elementor-widget-text-editor\" data-id=\"6530390\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;mk-animation-effect&quot;:&quot;none&quot;,&quot;mk_ext_is_infinite&quot;:&quot;false&quot;,&quot;mk_ext_is_scrollme&quot;:&quot;false&quot;}\" 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><span style=\"font-weight: 400;\">Yes. In 2026, many serious teams do not treat Python and R as enemies. They use both.<\/span><\/p><p><span style=\"font-weight: 400;\">A common hybrid workflow looks like this:<\/span><\/p><table><tbody><tr><td><p><b>Step<\/b><\/p><\/td><td><p><b>Tool<\/b><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Data extraction and pipeline<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Python<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Data cleaning<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Python or R<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Exploratory analysis<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">R<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Statistical modeling<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">R<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Machine learning<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Python<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Dashboard<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Shiny, Streamlit, or Dash<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Final report<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Quarto<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Deployment<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Python, containers, APIs, or managed platforms<\/span><\/p><\/td><\/tr><\/tbody><\/table><p><span style=\"font-weight: 400;\">This hybrid approach is becoming more practical because tools like Quarto support multiple languages, and research on combining R and Python highlights the value of using Python\u2019s machine learning and AI libraries alongside R\u2019s statistical packages.<\/span><\/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-cdd6aaf is-python-easier-than-r mk-enable-fade-animation-none elementor-widget elementor-widget-heading\" data-id=\"cdd6aaf\" data-element_type=\"widget\" data-e-type=\"widget\" id=\"is-python-easier-than-r\" data-settings=\"{&quot;mk-animation-effect&quot;:&quot;none&quot;,&quot;mk_ext_is_infinite&quot;:&quot;false&quot;,&quot;mk_ext_is_scrollme&quot;:&quot;false&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Is Python easier than R?\n<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-09c1b6d mk-enable-fade-animation-none elementor-widget elementor-widget-text-editor\" data-id=\"09c1b6d\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;mk-animation-effect&quot;:&quot;none&quot;,&quot;mk_ext_is_infinite&quot;:&quot;false&quot;,&quot;mk_ext_is_scrollme&quot;:&quot;false&quot;}\" 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><span style=\"font-weight: 400;\">For most beginners, yes. Python usually feels easier because the syntax is clean, readable, and closer to general English. It also teaches programming concepts that transfer to many other fields.<\/span><\/p><p><span style=\"font-weight: 400;\">R can feel strange at first if you are not used to statistics. But once you understand data frames, vectors, formulas, pipes, and tidyverse logic, R becomes very elegant for analysis.<\/span><\/p><p><span style=\"font-weight: 400;\">The best way to think about it:<\/span><\/p><table><tbody><tr><td><p><b>Learner type<\/b><\/p><\/td><td><p><b>Easier first language<\/b><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Complete beginner<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Python<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Statistics student<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">R<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Business analyst<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Python or R<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Researcher<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">R<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Future AI engineer<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Python<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Excel user moving into analytics<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Python for career flexibility, R for statistical analysis<\/span><\/p><\/td><\/tr><\/tbody><\/table>\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-8ee3f2e is-python-enough-for-data-science mk-enable-fade-animation-none elementor-widget elementor-widget-heading\" data-id=\"8ee3f2e\" data-element_type=\"widget\" data-e-type=\"widget\" id=\"is-python-enough-for-data-science\" data-settings=\"{&quot;mk-animation-effect&quot;:&quot;none&quot;,&quot;mk_ext_is_infinite&quot;:&quot;false&quot;,&quot;mk_ext_is_scrollme&quot;:&quot;false&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Is Python enough for data science?\n<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5523151 mk-enable-fade-animation-none elementor-widget elementor-widget-text-editor\" data-id=\"5523151\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;mk-animation-effect&quot;:&quot;none&quot;,&quot;mk_ext_is_infinite&quot;:&quot;false&quot;,&quot;mk_ext_is_scrollme&quot;:&quot;false&quot;}\" 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><span style=\"font-weight: 400;\">Python is enough for most modern data science roles. You can clean data, build models, create visualizations, deploy APIs, automate workflows, and work with AI tools using Python.<\/span><\/p><p><span style=\"font-weight: 400;\">However, Python is not always the best tool for every statistical problem. R can be better when you need advanced statistical modeling, specialized academic packages, or polished analytical reporting.<\/span><\/p><p><span style=\"font-weight: 400;\">A strong data scientist does not ask, <\/span><b>\u201cCan I do everything in Python?\u201d<\/b><span style=\"font-weight: 400;\"> They ask, <\/span><b>\u201cWhich tool gives the most reliable result for this problem?\u201d<\/b><\/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-eb0186c python-vs-r-for-machine-learning mk-enable-fade-animation-none elementor-widget elementor-widget-heading\" data-id=\"eb0186c\" data-element_type=\"widget\" data-e-type=\"widget\" id=\"python-vs-r-for-machine-learning\" data-settings=\"{&quot;mk-animation-effect&quot;:&quot;none&quot;,&quot;mk_ext_is_infinite&quot;:&quot;false&quot;,&quot;mk_ext_is_scrollme&quot;:&quot;false&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Python vs R for machine learning<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1108e0f mk-enable-fade-animation-none elementor-widget elementor-widget-text-editor\" data-id=\"1108e0f\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;mk-animation-effect&quot;:&quot;none&quot;,&quot;mk_ext_is_infinite&quot;:&quot;false&quot;,&quot;mk_ext_is_scrollme&quot;:&quot;false&quot;}\" 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 data-start=\"23347\" data-end=\"23410\">Python is the clear winner for machine learning and AI in 2026.<\/p><p data-start=\"23412\" data-end=\"23671\">R can do machine learning, and packages like tidymodels, caret, xgboost, and mlr3 are useful. But Python dominates the ecosystem around deep learning, LLMs, computer vision, natural language processing, deployment, vector databases, APIs, and AI applications.<\/p><p data-start=\"23673\" data-end=\"23850\">The modern AI stack is heavily Python centered. If your goal includes machine learning engineering, deep learning, generative AI, or AI product development, choose Python first.<\/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-0029489 faq mk-enable-fade-animation-none elementor-widget elementor-widget-heading\" data-id=\"0029489\" data-element_type=\"widget\" data-e-type=\"widget\" id=\"faq\" data-settings=\"{&quot;mk-animation-effect&quot;:&quot;none&quot;,&quot;mk_ext_is_infinite&quot;:&quot;false&quot;,&quot;mk_ext_is_scrollme&quot;:&quot;false&quot;}\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">FAQ\n<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ffa915d mk-enable-fade-animation-none elementor-widget elementor-widget-text-editor\" data-id=\"ffa915d\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;mk-animation-effect&quot;:&quot;none&quot;,&quot;mk_ext_is_infinite&quot;:&quot;false&quot;,&quot;mk_ext_is_scrollme&quot;:&quot;false&quot;}\" 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<h5><b>What is R in programming?<\/b><\/h5><p><span style=\"font-weight: 400;\">R is a programming language and environment for statistical computing, data analysis, graphics, and modeling. It is especially popular among statisticians, researchers, analysts, and data scientists who work with statistical methods.<\/span><\/p><h5><b>Is Python R?<\/b><\/h5><p><span style=\"font-weight: 400;\">No. Python and R are different programming languages. Python is a general-purpose language used in many fields. R is a language built around statistics, data analysis, and graphics.<\/span><\/p><h5><b>Is R a programming language?<\/b><\/h5><p><span style=\"font-weight: 400;\">Yes. R is a programming language. It is also a software environment for statistical computing and graphics.<\/span><\/p><h5><b>What is RStudio?<\/b><\/h5><p><span style=\"font-weight: 400;\">RStudio is an integrated development environment used to write and run R code. It is now part of the broader Posit ecosystem, which supports R, Python, Shiny, Quarto, and enterprise data science workflows.<\/span><\/p><h5><b>Is R better than Python for data science?<\/b><\/h5><p><span style=\"font-weight: 400;\">R is better for statistics, research, and analytical reporting. Python is better for machine learning, AI, automation, data engineering, and production data science.<\/span><\/p><h5><b>Should I learn Python or R first?<\/b><\/h5><p><span style=\"font-weight: 400;\">Most beginners should learn Python first because it gives broader career flexibility. Learn R first if your main focus is statistics, academic research, public health, clinical trials, or advanced analytical reporting.<\/span><\/p><h5><b>Can I use Python with R?<\/b><\/h5><p><span style=\"font-weight: 400;\">Yes. Python and R can be used together through notebooks, Quarto, APIs, data files, and integration tools. Many teams use Python for engineering and machine learning, then R for statistics, visualization, and reporting.<\/span><\/p><h5><b>Is R good for data science in 2026?<\/b><\/h5><p><span style=\"font-weight: 400;\">Yes. R is still excellent for data science when the work involves statistics, modeling, visualization, dashboards, research, and reports. It is less dominant than Python in AI and production machine learning, but it remains highly valuable.<\/span><\/p><h5><b>Is Python good for statistics?<\/b><\/h5><p><span style=\"font-weight: 400;\">Yes, Python is good for statistics, especially with libraries like SciPy, statsmodels, and PyMC. But R remains more natural and more mature for many advanced statistical workflows.<\/span><\/p><h5><b>Which language is better for data analytics tools?<\/b><\/h5><p><span style=\"font-weight: 400;\">Python is better if your analytics work connects to automation, APIs, AI, and data pipelines. R is better if your analytics work focuses on statistics, visual exploration, and reproducible reporting.<\/span><\/p>\t\t\t\t\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<div class=\"elementor-element elementor-element-bf6e2b6 elementor-position-left elementor-vertical-align-top mk-enable-fade-animation-none elementor-widget elementor-widget-image-box\" data-id=\"bf6e2b6\" data-element_type=\"widget\" data-e-type=\"widget\" data-settings=\"{&quot;mk-animation-effect&quot;:&quot;none&quot;,&quot;mk_ext_is_infinite&quot;:&quot;false&quot;,&quot;mk_ext_is_scrollme&quot;:&quot;false&quot;}\" data-widget_type=\"image-box.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-image-box-wrapper\"><figure class=\"elementor-image-box-img\"><img decoding=\"async\" width=\"1080\" height=\"1080\" src=\"https:\/\/kifcom360.com\/wp-content\/uploads\/2025\/10\/Untitled-design-2.webp\" class=\"attachment-full size-full wp-image-17684\" alt=\"Ilias Hajjoub\" srcset=\"https:\/\/kifcom360.com\/wp-content\/uploads\/2025\/10\/Untitled-design-2.webp 1080w, https:\/\/kifcom360.com\/wp-content\/uploads\/2025\/10\/Untitled-design-2-300x300.webp 300w, https:\/\/kifcom360.com\/wp-content\/uploads\/2025\/10\/Untitled-design-2-1024x1024.webp 1024w, https:\/\/kifcom360.com\/wp-content\/uploads\/2025\/10\/Untitled-design-2-150x150.webp 150w, https:\/\/kifcom360.com\/wp-content\/uploads\/2025\/10\/Untitled-design-2-768x768.webp 768w, https:\/\/kifcom360.com\/wp-content\/uploads\/2025\/10\/Untitled-design-2-105x105.webp 105w, https:\/\/kifcom360.com\/wp-content\/uploads\/2025\/10\/Untitled-design-2-750x750.webp 750w\" sizes=\"(max-width: 1080px) 100vw, 1080px\" \/><\/figure><div class=\"elementor-image-box-content\"><h3 class=\"elementor-image-box-title\"><a href=\"https:\/\/www.linkedin.com\/in\/ilias-hajjoub-391964208\/\" target=\"_blank\" rel=\"noopener noreferrer\">Ilias Hajjoub<\/a><\/h3><p class=\"elementor-image-box-description\"><p>\n  Ilias is the Head of SEM and Digital Marketing at Kifcom 360. 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Written by : Ilias Hajjoub\u00a0 |\u00a0 Reading time : 14 min\u00a0 |\u00a0 10\u00a0 Juin 2026 Choosing between Python and R for data science can feel confusing because both languages are<\/p>\n","protected":false},"author":2,"featured_media":18461,"comment_status":"closed","ping_status":"open","sticky":false,"template":"elementor_header_footer","format":"standard","meta":{"_joinchat":[],"footnotes":""},"categories":[44],"tags":[],"class_list":["post-18446","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Python vs R for Data Science 2026: Which Is Better?<\/title>\n<meta name=\"description\" content=\"Python vs R for data science in 2026. 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