{"id":7376,"date":"2017-09-20T20:00:24","date_gmt":"2017-09-20T14:30:24","guid":{"rendered":"http:\/\/ivyproschool.com\/blog\/?p=7376"},"modified":"2024-11-06T18:07:10","modified_gmt":"2024-11-06T12:37:10","slug":"what-to-choose-r-vs-python-part-2","status":"publish","type":"post","link":"https:\/\/ivyproschool.com\/blog\/what-to-choose-r-vs-python-part-2\/","title":{"rendered":"R vs Python for Data Science: Which Analytics Tool Should You Choose?"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"7376\" class=\"elementor elementor-7376\">\n\t\t\t\t\t\t<div class=\"elementor-inner\">\n\t\t\t\t<div class=\"elementor-section-wrap\">\n\t\t\t\t\t\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-7a33545e elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"7a33545e\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t\t\t<div class=\"elementor-row\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-6f355e27 jltma-glass-effect-no\" data-id=\"6f355e27\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-column-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-34056e6d jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"34056e6d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-text-editor elementor-clearfix\">\n\t\t\t\t<p><a href=\"http:\/\/ivyproschool.com\/blog\/what-to-choose-r-vs-python-part-2\/\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-7377\" src=\"http:\/\/ivyproschool.com\/blog\/wp-content\/uploads\/2015\/08\/R-2-410x1024.png\" alt=\"\" width=\"350\" height=\"875\" srcset=\"https:\/\/ivyproschool.com\/blog\/wp-content\/uploads\/2015\/08\/R-2-410x1024.png 410w, https:\/\/ivyproschool.com\/blog\/wp-content\/uploads\/2015\/08\/R-2-120x300.png 120w, https:\/\/ivyproschool.com\/blog\/wp-content\/uploads\/2015\/08\/R-2-768x1920.png 768w, https:\/\/ivyproschool.com\/blog\/wp-content\/uploads\/2015\/08\/R-2.png 800w\" sizes=\"auto, (max-width: 350px) 100vw, 350px\" \/><br \/><\/a><br \/>\u00a0<\/p><p>Our <a href=\"http:\/\/ivyproschool.com\/blog\/2017\/09\/14\/what-to-choose-r-vs-python\/\">last blog<\/a> talked about how <a href=\"http:\/\/ivyproschool.com\/our-courses\/big-data-and-analytics\/predictive-analytics-with-r-certification\/\">R<\/a> can be compared with Python basis its history, use for <a href=\"http:\/\/ivyproschool.com\/our-courses\/big-data-and-analytics\/data-visualization-and-reporting\/\">Data visualisation<\/a>, Data handling capacity, Speed and Ease of Learning. This time lets talk about some other features<\/p><table><tbody><tr><td width=\"200\">\u00a0<\/td><td width=\"200\"><strong>R<\/strong><\/td><td width=\"200\"><strong>Python<\/strong><\/td><\/tr><tr><td width=\"200\"><em>Purpose<\/em><\/td><td width=\"200\">R is a statistical modelling tool basically meant for statisticians.<\/td><td width=\"200\">Python is a general purpose programming language, compatible across all platforms<\/td><\/tr><tr><td width=\"200\"><p>\u00a0<\/p><p><em>Integrated Development Environment<\/em><\/p><\/td><td width=\"200\"><p>\u00a0<\/p><p>RStudio, Rattle, Visual Studio for R, Eclipse, etc.<\/p><\/td><td width=\"200\"><p>\u00a0<\/p><p>Pycharm, Pydev, Spyder, IPython Notebook, etc.<\/p><\/td><\/tr><tr><td width=\"200\"><p>\u00a0<\/p><p><em>Flexibility<\/em><\/p><\/td><td width=\"200\"><p>\u00a0<\/p><p>R can compute statistical models using few lines of codes. Moreover majority of statistical tests are available as packages in R<\/p><\/td><td width=\"200\"><p>\u00a0<\/p><p>Python is flexible in computing algorithms, scripting websites, making softwares, building apps, etc.<\/p><\/td><\/tr><\/tbody><\/table><p>\u00a0<\/p><p><iframe id=\"zShareTpcCheck\" style=\"display: none;\" src=\"chrome-extension:\/\/ddafdejlekcmnafgnbllcfkebabhabcl\/html\/tpc.html\"><\/iframe><span id=\"zoho_button_ext\" style=\"display: none; position: absolute; z-index: 99999999; width: 80px; height: 31px; background-image: url('chrome-extension:\/\/ddafdejlekcmnafgnbllcfkebabhabcl\/images\/zshare.png'); background-size: 80px 31px; opacity: 0.9; cursor: pointer; top: 0px; left: 0px;\"><\/span><\/p>\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\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>\u00a0 Our last blog talked about how R can be compared with Python basis its history, use for Data visualisation, Data handling capacity, Speed and Ease of Learning. This time lets talk about some other features \u00a0 R Python Purpose R is a statistical modelling tool basically meant for statisticians. Python is a general purpose programming language, compatible across all platforms \u00a0 Integrated Development Environment \u00a0 RStudio, Rattle, Visual Studio for R, Eclipse, etc. \u00a0 Pycharm, Pydev, Spyder, IPython Notebook, etc. \u00a0 Flexibility \u00a0 R can compute statistical models using few lines of codes. Moreover majority of statistical tests are available as packages in R \u00a0 Python is flexible in computing algorithms, scripting websites, making softwares, building apps, etc. \u00a0<\/p>\n","protected":false},"author":7,"featured_media":9408,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[851,5,881,715,552],"tags":[22,56,76,230,716],"class_list":["post-7376","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-business-analytics","category-data-analytics","category-data-science","category-machine-learning-ai","category-technology","tag-analytics","tag-big-data-analytics","tag-business-analytics","tag-data-analytics","tag-python"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>What to choose? 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