{"id":66494,"date":"2020-11-17T10:20:24","date_gmt":"2020-11-17T15:20:24","guid":{"rendered":"https:\/\/ibkrcampus.com\/?p=66494"},"modified":"2023-01-20T14:56:07","modified_gmt":"2023-01-20T19:56:07","slug":"python-vs-r-a-previously-recorded-webinar-with-byte-academy","status":"publish","type":"post","link":"https:\/\/www.interactivebrokers.com\/campus\/ibkr-quant-news\/python-vs-r-a-previously-recorded-webinar-with-byte-academy\/","title":{"rendered":"Python vs R &#8211; A Previously Recorded Webinar with Byte Academy"},"content":{"rendered":"\n<p>In case you missed this! Check out this previously recorded webinar on the popular comparison of Python and R.<\/p>\n\n\n\n<p><strong>Description<\/strong><\/p>\n\n\n\n<p>Python and R are the mostly widely used programming languages in Data Science. From data preparation to analysis and machine learning, Python and R, especially when used together, serve the needs of Data Scientists. In this tutorial, we will review both languages across several examples, making sure to highlight the different strengths and weaknesses of each.<\/p>\n\n\n\n<p>Sponsored by <a href=\"https:\/\/www.byteacademy.co\/\">Byte Academy<\/a> <\/p>\n\n\n\n<p class=\"has-text-color has-background has-text-align-center has-vivid-red-background-color\" style=\"color:#ffffff;font-size:24px\"><a href=\"https:\/\/register.gotowebinar.com\/register\/4930761377639499521?source=QuantBlog\"><strong>Listen to the Recording<\/strong><\/a><\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"900\" height=\"550\" data-src=\"\/campus\/wp-content\/uploads\/sites\/2\/2020\/11\/Python-vs-R-webinar-recording-website.png\" alt=\"\" class=\"wp-image-66523 lazyload\" data-srcset=\"https:\/\/ibkrcampus.com\/campus\/wp-content\/uploads\/sites\/2\/2020\/11\/Python-vs-R-webinar-recording-website.png 900w, 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learning.<\/p>\n","protected":false},"author":90,"featured_media":66523,"comment_status":"closed","ping_status":"open","sticky":true,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[339,343,349,338,350,341,351,352,344,2197,342],"tags":[6956,806,7560,852,595,487,6591],"contributors-categories":[13576],"class_list":{"0":"post-66494","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-data-science","8":"category-programing-languages","9":"category-python-development","10":"category-ibkr-quant-news","11":"category-quant-asia-pacific","12":"category-quant-development","13":"category-quant-europe","14":"category-quant-north-america","15":"category-quant-regions","16":"category-quant-south-america","17":"category-r-development","18":"tag-data-analysis","19":"tag-data-science","20":"tag-data-visualization","21":"tag-machine-learning","22":"tag-python","23":"tag-r","24":"tag-rstats","25":"contributors-categories-interactive-brokers"},"pp_statuses_selecting_workflow":false,"pp_workflow_action":"current","pp_status_selection":"publish","acf":[],"yoast_head":"<!-- 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