{"id":35946,"date":"2021-01-19T18:38:03","date_gmt":"2021-01-19T17:38:03","guid":{"rendered":"https:\/\/multi.datascientest.com\/?p=35946"},"modified":"2023-10-30T18:18:59","modified_gmt":"2023-10-30T17:18:59","slug":"python-or-r-which-to-choose","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/python-or-r-which-to-choose","title":{"rendered":"Python or R: Two different languages for different uses"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"35946\" class=\"elementor elementor-35946\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-68b124c e-flex e-con-boxed e-con\" data-id=\"68b124c\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a1f415b elementor-widget elementor-widget-heading\" data-id=\"a1f415b\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h3 class=\"elementor-heading-title elementor-size-default\">What are the advantages and disadvantages ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-45f42ac elementor-widget elementor-widget-text-editor\" data-id=\"45f42ac\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p><span style=\"font-weight: 400;\">First of all, there is no programming language better than another one. However, the fact that <\/span><b>Python is more widely used<\/b><span style=\"font-weight: 400;\"> in academia and therefore <\/span><b>predominant later in industry<\/b><span style=\"font-weight: 400;\"> is a considerable advantage if you want to train yourself in <\/span><a href=\"https:\/\/datascientest.com\/en\/wp-admin\/post.php?post=35738&amp;action=edit\"><span style=\"font-weight: 400;\"><span style=\"text-decoration: underline;\"><strong>Data Science<\/strong><\/span><\/span><\/a><span style=\"font-weight: 400;\"> and <\/span><a href=\"https:\/\/datascientest.com\/en\/machine-learning-what-is-it-and-why-does-it-change-the-world\"><span style=\"font-weight: 400;\"><span style=\"text-decoration: underline;\"><strong>Machine Learning<\/strong><\/span><\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">Depending on the field you work in, there are real differences between<\/span><span style=\"text-decoration: underline;\"><strong><a href=\"https:\/\/datascientest.com\/en\/python-the-most-popular-programming-language\"> Python<\/a><\/strong><\/span><span style=\"font-weight: 400;\"> and R.<\/span><\/p><p><span style=\"font-weight: 400;\">Lets see the different points that you need to know in order to choose the programming language which fits with your needs:<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Machine Learning<\/b><span style=\"font-weight: 400;\">: It consists of two main steps: the model design and the prediction phase. The first one is <\/span><b>done upstream by quite heavy calculations<\/b><span style=\"font-weight: 400;\"> while the <\/span><b>predictions are made in real time<\/b><span style=\"font-weight: 400;\">. Nevertheless, the choice of Python or R for each of these steps does not influence a user\u2019s execution time.<\/span><\/li><\/ul><div>\u00a0<\/div><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Libraries<\/b><span style=\"font-weight: 400;\">: Both languages have a multitude of libraries adapted to Machine Learning. More than 5000 libraries are available in R in a wide variety of domains. <\/span><b>Python has fewer but some are almost exhaustive<\/b><span style=\"font-weight: 400;\"> such as Pandas, NumPy, Scikit Learn, SciPy or Matplotlib.\u00a0<\/span><\/li><\/ul><div>\u00a0<\/div><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Development<\/b><span style=\"font-weight: 400;\">:\u00a0 Many people find <\/span><b>Python quite easy to learn<\/b><span style=\"font-weight: 400;\">, as High-Level type it is closer to the human language, while <\/span><b>R requires more effort to learn<\/b><span style=\"font-weight: 400;\"> because of its rather unclear syntax. However, they both have good development environments such as <\/span><span style=\"text-decoration: underline;\"><strong><a href=\"https:\/\/www.spyder-ide.org\/\">Spyder<\/a><\/strong><\/span><span style=\"font-weight: 400;\"> for Python or <\/span><a href=\"https:\/\/rstudio.com\/\"><span style=\"font-weight: 400;\"><span style=\"text-decoration: underline;\"><strong>Rstudio<\/strong><\/span><\/span><\/a><span style=\"font-weight: 400;\"> for R.<\/span><\/li><\/ul><p>\u00a0<\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Speed<\/b><span style=\"font-weight: 400;\">: Initially, R and Python are two relatively slow languages. The emphasis on ease of programming in <\/span><b>Python makes this language necessarily slower<\/b><span style=\"font-weight: 400;\"> than low-level languages like R. In addition, <\/span><b>R has recently updated its computationally intensive operating systems<\/b><span style=\"font-weight: 400;\"> making it much faster. To make up for this delay, some Python libraries interface with the C language.<\/span><\/li><\/ul><p>\u00a0<\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Visualization<\/b><span style=\"font-weight: 400;\">: In Data Science, <\/span><b>data visualization<\/b><span style=\"font-weight: 400;\"> is essential in order to analyze the results, so it is an important factor in choosing your language. Python is not to be complained about in this domain but the <\/span><b><i>R ggplot2 package<\/i><\/b><span style=\"font-weight: 400;\"> gives a big advantage over <\/span><b>Python and its Matplotlib package <\/b><span style=\"font-weight: 400;\">for its diversity and ease of use.\u00a0<\/span><\/li><\/ul><p>\u00a0<\/p><p><span style=\"font-weight: 400;\">Despite these pros and cons, the DataScientest training prefers Python for its ease of learning and its predominance in the professional world.<\/span><\/p><p>\u00a0<\/p>\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<div class=\"elementor-element elementor-element-00b93c4 e-flex e-con-boxed e-con\" data-id=\"00b93c4\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3acea8d elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"3acea8d\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-md\" href=\"https:\/\/datascientest.com\/en\/processus-inscription-certifications\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">DiscoverDataScientest's courses<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-a0b4b5e e-flex e-con-boxed e-con\" data-id=\"a0b4b5e\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f128c23 elementor-widget elementor-widget-html\" data-id=\"f128c23\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\r\n{\r\n  \"@context\": \"https:\/\/schema.org\",\r\n  \"@type\": \"FAQPage\",\r\n  \"mainEntity\": {\r\n    \"@type\": \"Question\",\r\n    \"name\": \"What are the advantages and disadvantages ?\u200b\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"First of all, there is no programming language better than another one. However, the fact that Python is more widely used in academia and therefore predominant later in industry is a considerable advantage if you want to train yourself in Data Science and Machine Learning.\"\r\n    }\r\n  }\r\n}\r\n<\/script>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>What are the advantages and disadvantages ? First of all, there is no programming language better than another one. However, the fact that Python is more widely used in academia and therefore predominant later in industry is a considerable advantage if you want to train yourself in Data Science and Machine Learning. Depending on the [&hellip;]<\/p>\n","protected":false},"author":45,"featured_media":2030,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2425],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Python or R: Two different languages for different uses<\/title>\n<meta name=\"description\" content=\"First of all, there is no programming language better than another one. However, the fact that Python is more widely used in academia and therefore predominant later in industry is a considerable advantage if you want to train yourself in Data Science and Machine Learning.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/datascientest.com\/en\/python-or-r-which-to-choose\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python or R: Two different languages for different uses\" \/>\n<meta property=\"og:description\" content=\"What are the advantages and disadvantages ? First of all, there is no programming language better than another one. However, the fact that Python is more\" \/>\n<meta property=\"og:url\" content=\"https:\/\/datascientest.com\/en\/python-or-r-which-to-choose\" \/>\n<meta property=\"og:site_name\" content=\"Data Science Courses | DataScientest\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/DataScientestEN\" \/>\n<meta property=\"article:published_time\" content=\"2021-01-19T17:38:03+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-10-30T17:18:59+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/datascientest.com\/en\/files\/2020\/04\/Diapositive1-1.png\" \/>\n\t<meta property=\"og:image:width\" content=\"720\" \/>\n\t<meta property=\"og:image:height\" content=\"405\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Daniel\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@DataScientest__\" \/>\n<meta name=\"twitter:site\" content=\"@DataScientest__\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Daniel\" \/>\n\t<meta name=\"twitter:label2\" content=\"Estimated reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/datascientest.com\/en\/python-or-r-which-to-choose#article\",\"isPartOf\":{\"@id\":\"https:\/\/datascientest.com\/en\/python-or-r-which-to-choose\"},\"author\":{\"name\":\"Daniel\",\"@id\":\"https:\/\/datascientest.com\/en\/#\/schema\/person\/5a86e30c5090234fb43dd8baa83c44b0\"},\"headline\":\"Python or R: Two different languages for different uses\",\"datePublished\":\"2021-01-19T17:38:03+00:00\",\"dateModified\":\"2023-10-30T17:18:59+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/datascientest.com\/en\/python-or-r-which-to-choose\"},\"wordCount\":380,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/datascientest.com\/en\/#organization\"},\"articleSection\":[\"Data Science\"],\"inLanguage\":\"en-GB\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/datascientest.com\/en\/python-or-r-which-to-choose#respond\"]}],\"copyrightYear\":\"2021\",\"copyrightHolder\":{\"@id\":\"https:\/\/datascientest.com\/#organization\"}},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/datascientest.com\/en\/python-or-r-which-to-choose\",\"url\":\"https:\/\/datascientest.com\/en\/python-or-r-which-to-choose\",\"name\":\"Python or R: Two different languages for different uses\",\"isPartOf\":{\"@id\":\"https:\/\/datascientest.com\/en\/#website\"},\"datePublished\":\"2021-01-19T17:38:03+00:00\",\"dateModified\":\"2023-10-30T17:18:59+00:00\",\"description\":\"First of all, there is no programming language better than another one. However, the fact that Python is more widely used in academia and therefore predominant later in industry is a considerable advantage if you want to train yourself in Data Science and Machine Learning.\",\"inLanguage\":\"en-GB\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/datascientest.com\/en\/python-or-r-which-to-choose\"]}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/datascientest.com\/en\/#website\",\"url\":\"https:\/\/datascientest.com\/en\/\",\"name\":\"Data Science Courses | DataScientest\",\"description\":\"Leader in Data Science Courses\",\"publisher\":{\"@id\":\"https:\/\/datascientest.com\/en\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/datascientest.com\/en\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-GB\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/datascientest.com\/en\/#organization\",\"name\":\"DataScientest\",\"url\":\"https:\/\/datascientest.com\/en\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-GB\",\"@id\":\"https:\/\/datascientest.com\/en\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/datascientest.com\/en\/wp-content\/blogs.dir\/9\/files\/2024\/02\/DataScientest_icon_blue-2.png\",\"contentUrl\":\"https:\/\/datascientest.com\/en\/wp-content\/blogs.dir\/9\/files\/2024\/02\/DataScientest_icon_blue-2.png\",\"width\":301,\"height\":301,\"caption\":\"DataScientest\"},\"image\":{\"@id\":\"https:\/\/datascientest.com\/en\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.facebook.com\/DataScientestEN\",\"https:\/\/twitter.com\/DataScientest__\",\"https:\/\/www.linkedin.com\/school\/datascientest\/mycompany\/\",\"https:\/\/www.tiktok.com\/@datascientest\"]},{\"@type\":\"Person\",\"@id\":\"https:\/\/datascientest.com\/en\/#\/schema\/person\/5a86e30c5090234fb43dd8baa83c44b0\",\"name\":\"Daniel\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-GB\",\"@id\":\"https:\/\/datascientest.com\/en\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/837acad4f2dc47e85d81cce837261670?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/837acad4f2dc47e85d81cce837261670?s=96&d=mm&r=g\",\"caption\":\"Daniel\"},\"sameAs\":[\"https:\/\/www.linkedin.com\/school\/datascientest\/\",\"user\"],\"jobTitle\":\"ing\u00e9nieur logiciel\",\"worksFor\":\"DataScientest\",\"url\":\"https:\/\/datascientest.com\/en\/author\/team-redac\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Python or R: Two different languages for different uses","description":"First of all, there is no programming language better than another one. However, the fact that Python is more widely used in academia and therefore predominant later in industry is a considerable advantage if you want to train yourself in Data Science and Machine Learning.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/datascientest.com\/en\/python-or-r-which-to-choose","og_locale":"en_GB","og_type":"article","og_title":"Python or R: Two different languages for different uses","og_description":"What are the advantages and disadvantages ? First of all, there is no programming language better than another one. However, the fact that Python is more","og_url":"https:\/\/datascientest.com\/en\/python-or-r-which-to-choose","og_site_name":"Data Science Courses | DataScientest","article_publisher":"https:\/\/www.facebook.com\/DataScientestEN","article_published_time":"2021-01-19T17:38:03+00:00","article_modified_time":"2023-10-30T17:18:59+00:00","og_image":[{"width":720,"height":405,"url":"https:\/\/datascientest.com\/en\/files\/2020\/04\/Diapositive1-1.png","type":"image\/png"}],"author":"Daniel","twitter_card":"summary_large_image","twitter_creator":"@DataScientest__","twitter_site":"@DataScientest__","twitter_misc":{"Written by":"Daniel","Estimated reading time":"2 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/datascientest.com\/en\/python-or-r-which-to-choose#article","isPartOf":{"@id":"https:\/\/datascientest.com\/en\/python-or-r-which-to-choose"},"author":{"name":"Daniel","@id":"https:\/\/datascientest.com\/en\/#\/schema\/person\/5a86e30c5090234fb43dd8baa83c44b0"},"headline":"Python or R: Two different languages for different uses","datePublished":"2021-01-19T17:38:03+00:00","dateModified":"2023-10-30T17:18:59+00:00","mainEntityOfPage":{"@id":"https:\/\/datascientest.com\/en\/python-or-r-which-to-choose"},"wordCount":380,"commentCount":0,"publisher":{"@id":"https:\/\/datascientest.com\/en\/#organization"},"articleSection":["Data Science"],"inLanguage":"en-GB","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/datascientest.com\/en\/python-or-r-which-to-choose#respond"]}],"copyrightYear":"2021","copyrightHolder":{"@id":"https:\/\/datascientest.com\/#organization"}},{"@type":"WebPage","@id":"https:\/\/datascientest.com\/en\/python-or-r-which-to-choose","url":"https:\/\/datascientest.com\/en\/python-or-r-which-to-choose","name":"Python or R: Two different languages for different uses","isPartOf":{"@id":"https:\/\/datascientest.com\/en\/#website"},"datePublished":"2021-01-19T17:38:03+00:00","dateModified":"2023-10-30T17:18:59+00:00","description":"First of all, there is no programming language better than another one. However, the fact that Python is more widely used in academia and therefore predominant later in industry is a considerable advantage if you want to train yourself in Data Science and Machine Learning.","inLanguage":"en-GB","potentialAction":[{"@type":"ReadAction","target":["https:\/\/datascientest.com\/en\/python-or-r-which-to-choose"]}]},{"@type":"WebSite","@id":"https:\/\/datascientest.com\/en\/#website","url":"https:\/\/datascientest.com\/en\/","name":"Data Science Courses | DataScientest","description":"Leader in Data Science Courses","publisher":{"@id":"https:\/\/datascientest.com\/en\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/datascientest.com\/en\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"en-GB"},{"@type":"Organization","@id":"https:\/\/datascientest.com\/en\/#organization","name":"DataScientest","url":"https:\/\/datascientest.com\/en\/","logo":{"@type":"ImageObject","inLanguage":"en-GB","@id":"https:\/\/datascientest.com\/en\/#\/schema\/logo\/image\/","url":"https:\/\/datascientest.com\/en\/wp-content\/blogs.dir\/9\/files\/2024\/02\/DataScientest_icon_blue-2.png","contentUrl":"https:\/\/datascientest.com\/en\/wp-content\/blogs.dir\/9\/files\/2024\/02\/DataScientest_icon_blue-2.png","width":301,"height":301,"caption":"DataScientest"},"image":{"@id":"https:\/\/datascientest.com\/en\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/DataScientestEN","https:\/\/twitter.com\/DataScientest__","https:\/\/www.linkedin.com\/school\/datascientest\/mycompany\/","https:\/\/www.tiktok.com\/@datascientest"]},{"@type":"Person","@id":"https:\/\/datascientest.com\/en\/#\/schema\/person\/5a86e30c5090234fb43dd8baa83c44b0","name":"Daniel","image":{"@type":"ImageObject","inLanguage":"en-GB","@id":"https:\/\/datascientest.com\/en\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/837acad4f2dc47e85d81cce837261670?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/837acad4f2dc47e85d81cce837261670?s=96&d=mm&r=g","caption":"Daniel"},"sameAs":["https:\/\/www.linkedin.com\/school\/datascientest\/","user"],"jobTitle":"ing\u00e9nieur logiciel","worksFor":"DataScientest","url":"https:\/\/datascientest.com\/en\/author\/team-redac"}]}},"_links":{"self":[{"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/posts\/35946"}],"collection":[{"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/users\/45"}],"replies":[{"embeddable":true,"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/comments?post=35946"}],"version-history":[{"count":0,"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/posts\/35946\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/media\/2030"}],"wp:attachment":[{"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/media?parent=35946"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/categories?post=35946"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/datascientest.com\/en\/wp-json\/wp\/v2\/tags?post=35946"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}