{"id":270275,"date":"2025-03-28T06:30:00","date_gmt":"2025-03-28T06:30:00","guid":{"rendered":"https:\/\/datascientest.com\/?p=270275"},"modified":"2025-03-28T15:52:49","modified_gmt":"2025-03-28T15:52:49","slug":"julia-tout-savoir","status":"publish","type":"post","link":"https:\/\/datascientest.com\/julia-tout-savoir","title":{"rendered":"Julia : Le langage cr\u00e9\u00e9 pour la data science et la recherche"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"270275\" class=\"elementor elementor-270275\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-76771ac e-flex e-con-boxed e-con\" data-id=\"76771ac\" 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-03c9afb elementor-widget elementor-widget-text-editor\" data-id=\"03c9afb\" 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><strong>Julia est un langage de programmation moderne, puissant et de plus en plus pris\u00e9 dans les domaines de la data science, du calcul scientifique et de l&rsquo;intelligence artificielle. Bien qu\u2019il ne figure pas encore parmi les langages les plus populaires \u2013 domin\u00e9s par des g\u00e9ants comme Python, R ou MATLAB -, il incarne une vision moderne du calcul technique et son adoption est cibl\u00e9e dans des niches exigeantes (HPC, mod\u00e9lisation math\u00e9matique, ML performant). Si Julia reste aujourd\u2019hui un pari audacieux face aux standards \u00e9tablis, il pourrait bien s\u2019imposer comme le langage de demain pour ceux qui refusent de choisir entre rapidit\u00e9 et productivit\u00e9. D\u00e9couvrez pourquoi ce langage vaut le d\u00e9tour et comment il pourrait r\u00e9volutionner votre fa\u00e7on de coder !\u00a0<\/strong><\/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-0a67eac e-flex e-con-boxed e-con\" data-id=\"0a67eac\" 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-012658b elementor-widget elementor-widget-heading\" data-id=\"012658b\" 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><h2 class=\"elementor-heading-title elementor-size-default\">Julia, c\u2019est quoi ?\n\n<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-50eda81 elementor-widget elementor-widget-text-editor\" data-id=\"50eda81\" 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<p><span style=\"font-weight: 400;\">Julia est <\/span><a href=\"https:\/\/datascientest.com\/theorie-des-langages-de-programmation\"><span style=\"font-weight: 400;\">un langage de programmation<\/span><\/a><span style=\"font-weight: 400;\"> haut niveau, <\/span><a href=\"https:\/\/datascientest.com\/open-source\"><span style=\"font-weight: 400;\">open source<\/span><\/a><span style=\"font-weight: 400;\">, con\u00e7u en 2012 par Jeff Bezanson, Stefan Karpinski, Viral B. Shah et Alan Edelman. Son objectif ? Allier la vitesse des langages informatiques tr\u00e8s rapides comme <\/span><a href=\"https:\/\/datascientest.com\/langage-c-tout-savoir\"><span style=\"font-weight: 400;\">C<\/span><\/a><span style=\"font-weight: 400;\">, \u00e0 la facilit\u00e9 d&rsquo;\u00e9criture et de lecture d\u2019un langage simple comme <\/span><a href=\"https:\/\/datascientest.com\/python-tout-savoir\"><span style=\"font-weight: 400;\">Python<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">Avec une communaut\u00e9 encore modeste, Julia peine \u00e0 percer dans <\/span><a href=\"https:\/\/datascientest.com\/top-10-des-langages-de-programmation\"><span style=\"font-weight: 400;\">le top 10 des langages les plus utilis\u00e9s<\/span><\/a><span style=\"font-weight: 400;\">. Pourtant, il r\u00e9sout des probl\u00e8mes cl\u00e9s comme le dilemme des \u00ab\u00a0deux langages\u00a0\u00bb en combinant simplicit\u00e9 et performances natives, sans sacrifier l\u2019expressivit\u00e9.<\/span><\/p><p><span style=\"font-weight: 400;\">Adopt\u00e9 par la communaut\u00e9 scientifique, Julia est particuli\u00e8rement appr\u00e9ci\u00e9 pour le traitement de donn\u00e9es massives, la simulation num\u00e9rique, la mod\u00e9lisation math\u00e9matique et l\u2019analyse statistique. Son \u00e9cosyst\u00e8me, bien que jeune, gagne en maturit\u00e9, et son multiple dispatch en fait un outil unique pour la recherche et l\u2019ing\u00e9nierie.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-731e17f elementor-widget elementor-widget-image\" data-id=\"731e17f\" data-element_type=\"widget\" data-widget_type=\"image.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-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"533\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2025\/03\/close-up-man-writing-code-laptop-1024x682.webp\" class=\"attachment-large size-large wp-image-270328\" alt=\"Un d\u00e9veloppeur utilisant un ordinateur portable pour \u00e9crire du code, avec un environnement de d\u00e9veloppement en ligne de commande o\u00f9 le langage Julia est utilis\u00e9 pour la programmation et l&#039;analyse de donn\u00e9es.\" loading=\"lazy\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2025\/03\/close-up-man-writing-code-laptop-1024x682.webp 1024w, https:\/\/datascientest.com\/wp-content\/uploads\/2025\/03\/close-up-man-writing-code-laptop-300x200.webp 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2025\/03\/close-up-man-writing-code-laptop-768x512.webp 768w, https:\/\/datascientest.com\/wp-content\/uploads\/2025\/03\/close-up-man-writing-code-laptop-1536x1024.webp 1536w, https:\/\/datascientest.com\/wp-content\/uploads\/2025\/03\/close-up-man-writing-code-laptop.webp 2000w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\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-20f01ed elementor-align-center elementor-widget elementor-widget-button\" data-id=\"20f01ed\" 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-sm\" href=\"https:\/\/datascientest.com\/formation-data-scientist\">\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\">En savoir plus sur la Data Science<\/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-ee8a284 e-flex e-con-boxed e-con\" data-id=\"ee8a284\" 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-ba960b3 elementor-widget elementor-widget-heading\" data-id=\"ba960b3\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Pourquoi apprendre Julia ?\n<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2dc04d6 elementor-widget elementor-widget-heading\" data-id=\"2dc04d6\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Performance proche du langage machine\n<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2cda042 elementor-widget elementor-widget-text-editor\" data-id=\"2cda042\" 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<p><span style=\"font-weight: 400;\">Julia \u00e9limine le traditionnel compromis entre productivit\u00e9 et vitesse : sa compilation <\/span><b>JIT (Just-In-Time)<\/b><span style=\"font-weight: 400;\"> g\u00e9n\u00e8re du code aussi performant que le C, tout en conservant une syntaxe claire et expressive. Parfait pour les simulations num\u00e9riques, <\/span><a href=\"https:\/\/datascientest.com\/data-analysis-tout-savoir\"><span style=\"font-weight: 400;\">l&rsquo;analyse de donn\u00e9es<\/span><\/a><span style=\"font-weight: 400;\"> \u00e0 grande \u00e9chelle ou <\/span><a href=\"https:\/\/datascientest.com\/algorithme-tout-savoir\"><span style=\"font-weight: 400;\">les algorithmes<\/span><\/a><span style=\"font-weight: 400;\"> gourmands en ressources.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c682b40 elementor-widget elementor-widget-heading\" data-id=\"c682b40\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Une syntaxe accessible pour scientifiques et d\u00e9veloppeurs\n<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-291b651 elementor-widget elementor-widget-text-editor\" data-id=\"291b651\" 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<p><span style=\"font-weight: 400;\">Avec son style proche de <\/span><b>Python<\/b><span style=\"font-weight: 400;\"> et sa compatibilit\u00e9 avec <\/span><b>les notations math\u00e9matiques classiques<\/b><span style=\"font-weight: 400;\">, <\/span><b>Julia<\/b><span style=\"font-weight: 400;\"> r\u00e9duit la courbe d&rsquo;apprentissage. Les d\u00e9butants peuvent <\/span><a href=\"https:\/\/datascientest.com\/apprendre-a-coder-pourquoi-tout-le-monde-devrait-le-faire\"><span style=\"font-weight: 400;\">apprendre \u00e0 coder<\/span><\/a><span style=\"font-weight: 400;\"> et \u00e9crire du code fonctionnel en quelques heures, tandis que les experts appr\u00e9cient sa rigueur typographique pour les calculs complexes.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c0f1fda elementor-widget elementor-widget-heading\" data-id=\"c0f1fda\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Interop\u00e9rabilit\u00e9 sans friction\n<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4b22a08 elementor-widget elementor-widget-text-editor\" data-id=\"4b22a08\" 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<p><span style=\"font-weight: 400;\">Besoin d&rsquo;utiliser des <\/span><a href=\"https:\/\/datascientest.com\/top-10-des-librairies-python-en-data-science\"><span style=\"font-weight: 400;\">biblioth\u00e8ques Python<\/span><\/a><span style=\"font-weight: 400;\"> comme <\/span><b>NumPy<\/b><span style=\"font-weight: 400;\"> ou <\/span><b>TensorFlow<\/b><span style=\"font-weight: 400;\"> ? Julia appelle directement <\/span><b>Python, R, C ou Fortran<\/b><span style=\"font-weight: 400;\"> via des <\/span><b>wrappers natifs<\/b><span style=\"font-weight: 400;\">. Une aubaine pour migrer progressivement des projets existants ou combiner les forces de plusieurs \u00e9cosyst\u00e8mes.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-62f2855 elementor-widget elementor-widget-image\" data-id=\"62f2855\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"533\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2025\/03\/turned-gray-laptop-computer-1024x682.webp\" class=\"attachment-large size-large wp-image-270332\" alt=\"\" loading=\"lazy\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2025\/03\/turned-gray-laptop-computer-1024x682.webp 1024w, https:\/\/datascientest.com\/wp-content\/uploads\/2025\/03\/turned-gray-laptop-computer-300x200.webp 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2025\/03\/turned-gray-laptop-computer-768x512.webp 768w, https:\/\/datascientest.com\/wp-content\/uploads\/2025\/03\/turned-gray-laptop-computer-1536x1024.webp 1536w, https:\/\/datascientest.com\/wp-content\/uploads\/2025\/03\/turned-gray-laptop-computer.webp 2000w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\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-e098949 elementor-widget elementor-widget-heading\" data-id=\"e098949\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Parall\u00e9lisme et calcul distribu\u00e9 int\u00e9gr\u00e9s\n<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7e4a966 elementor-widget elementor-widget-text-editor\" data-id=\"7e4a966\" 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<p><span style=\"font-weight: 400;\">Contrairement \u00e0 d&rsquo;autres langages n\u00e9cessitant des <\/span><b>librairies externes<\/b><span style=\"font-weight: 400;\"> (comme MPI), Julia propose nativement des primitives pour le multithreading, <\/span><a href=\"https:\/\/datascientest.com\/spectral-clustering\"><span style=\"font-weight: 400;\">le clustering<\/span><\/a><span style=\"font-weight: 400;\"> ou l&rsquo;ex\u00e9cution sur GPU. Un atout d\u00e9cisif pour le HPC (High Performance Computing) et <\/span><a href=\"https:\/\/datascientest.com\/big-data-tout-savoir\"><span style=\"font-weight: 400;\">le big data<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a11ae0f elementor-widget elementor-widget-heading\" data-id=\"a11ae0f\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Un \u00e9cosyst\u00e8me en pleine expansion\n<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e79a326 elementor-widget elementor-widget-text-editor\" data-id=\"e79a326\" 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<p><span style=\"font-weight: 400;\">Avec 10 000+ packages recens\u00e9s en 2024 (dont Flux.jl pour le ML, DifferentialEquations.jl pour la mod\u00e9lisation, ou Pluto.jl pour les notebooks r\u00e9actifs), Julia comble rapidement ses lacunes initiales. Sa documentation d\u00e9taill\u00e9e et sa communaut\u00e9 engag\u00e9e (notamment dans la recherche acad\u00e9mique) en font un environnement viable pour les projets professionnels.<\/span><\/p><p><b>Le saviez-vous ? Des institutions comme le MIT ou la Federal Reserve Bank of New York utilisent Julia pour des t\u00e2ches critiques. Et si c&rsquo;\u00e9tait le moment de vous lancer ?<\/b><\/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-feab1ac e-flex e-con-boxed e-con\" data-id=\"feab1ac\" 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-fbc7d8d elementor-widget elementor-widget-heading\" data-id=\"fbc7d8d\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Comment installer Julia et \u00e9crire son premier programme ?\n<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-067302b elementor-widget elementor-widget-text-editor\" data-id=\"067302b\" 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<ol><li><span style=\"font-weight: 400;\">Rendez-vous sur<\/span><a href=\"https:\/\/julialang.org\/\"> <span style=\"font-weight: 400;\">julialang.org<\/span><\/a><span style=\"font-weight: 400;\"> pour t\u00e9l\u00e9charger Julia.<\/span><span style=\"font-weight: 400;\"><br \/><br \/><\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Installez le logiciel selon votre OS (Windows, Mac, Linux).<\/span><span style=\"font-weight: 400;\"><br \/><br \/><\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Lancez le REPL (Read-Eval-Print Loop), ou installez le package IJulia pour coder dans <\/span><a href=\"https:\/\/datascientest.com\/jupyter-notebook-tout-savoir\"><span style=\"font-weight: 400;\">Jupyter Notebook<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/li><\/ol><p>\u00a0<\/p><p><span style=\"font-weight: 400;\">println(\u00ab\u00a0Hello, Julia!\u00a0\u00bb)<\/span><\/p><p>Ce simple script affiche un message dans la console. Rapide, clair, efficace.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-29f576e elementor-widget elementor-widget-image\" data-id=\"29f576e\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"534\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2025\/03\/html-css-collage-concept-with-person-1024x683.webp\" class=\"attachment-large size-large wp-image-270336\" alt=\"Une d\u00e9veloppeuse travaillant dans un environnement de programmation, avec un \u00e9cran affichant du code informatique. Elle utilise probablement des langages comme Julia pour la data science ou le d\u00e9veloppement d&#039;algorithmes avanc\u00e9s.\" loading=\"lazy\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2025\/03\/html-css-collage-concept-with-person-1024x683.webp 1024w, https:\/\/datascientest.com\/wp-content\/uploads\/2025\/03\/html-css-collage-concept-with-person-300x200.webp 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2025\/03\/html-css-collage-concept-with-person-768x512.webp 768w, https:\/\/datascientest.com\/wp-content\/uploads\/2025\/03\/html-css-collage-concept-with-person-1536x1024.webp 1536w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\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-ed87c83 elementor-align-center elementor-widget elementor-widget-button\" data-id=\"ed87c83\" 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-sm\" href=\"https:\/\/datascientest.com\/formation-data-scientist\">\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\">Apprendre \u00e0 programmer pour de la Data Science<\/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-3488a5e e-flex e-con-boxed e-con\" data-id=\"3488a5e\" 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-265f4d7 elementor-widget elementor-widget-heading\" data-id=\"265f4d7\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Quelles sont les bases de Julia ?\n<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-fd7a19d elementor-widget elementor-widget-text-editor\" data-id=\"fd7a19d\" 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<table><tbody><tr><td><p><b>Concept de base<\/b><\/p><\/td><td><p><b>Ce qu\u2019il faut savoir<\/b><\/p><\/td><\/tr><tr><td><p><b>D\u00e9claration de variables<\/b><\/p><\/td><td><p><span style=\"font-weight: 400;\">Julia d\u00e9tecte automatiquement le type de chaque variable.<\/span><\/p><\/td><\/tr><tr><td><p><b>Structures de contr\u00f4le<\/b><\/p><\/td><td><p><span style=\"font-weight: 400;\">Les instructions <\/span><span style=\"font-weight: 400;\">if<\/span><span style=\"font-weight: 400;\">, <\/span><span style=\"font-weight: 400;\">for<\/span><span style=\"font-weight: 400;\">, <\/span><span style=\"font-weight: 400;\">while<\/span><span style=\"font-weight: 400;\"> s\u2019\u00e9crivent comme en Python, avec une syntaxe claire et intuitive.<\/span><\/p><\/td><\/tr><tr><td><p><b>D\u00e9finition de fonctions<\/b><\/p><\/td><td><p><span style=\"font-weight: 400;\">Syntaxe simple :<\/span><span style=\"font-weight: 400;\">function carre(x)<\/span><span style=\"font-weight: 400;\">\u00a0 \u00a0 <\/span><span style=\"font-weight: 400;\">return x^2end<\/span><\/p><\/td><\/tr><tr><td><p><b>Types de collections<\/b><\/p><\/td><td><p><span style=\"font-weight: 400;\">Julia propose plusieurs structures :Tableaux : <\/span><span style=\"font-weight: 400;\">[1, 2, 3]<\/span><span style=\"font-weight: 400;\">Dictionnaires : <\/span><span style=\"font-weight: 400;\">Dict(\u00ab\u00a0a\u00a0\u00bb =&gt; 1)<\/span><span style=\"font-weight: 400;\">Tuples : <\/span><span style=\"font-weight: 400;\">(1, \u00ab\u00a0a\u00a0\u00bb)<\/span><\/p><\/td><\/tr><tr><td><p><b>Fonctionnalit\u00e9 cl\u00e9<\/b><\/p><\/td><td><p><span style=\"font-weight: 400;\">Le <\/span><i><span style=\"font-weight: 400;\">multiple dispatch<\/span><\/i><span style=\"font-weight: 400;\"> permet d\u2019ex\u00e9cuter diff\u00e9rentes versions d\u2019une fonction selon le type des arguments, pour plus de flexibilit\u00e9 et d\u2019efficacit\u00e9.<\/span><\/p><\/td><\/tr><\/tbody><\/table>\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-a40f2f8 e-flex e-con-boxed e-con\" data-id=\"a40f2f8\" 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-d300a0d elementor-widget elementor-widget-heading\" data-id=\"d300a0d\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Cas d\u2019usage concrets\n<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6c5e603 elementor-widget elementor-widget-text-editor\" data-id=\"6c5e603\" 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<p><span style=\"font-weight: 400;\">Parmi les cas d\u2019usage concrets de Julia, on trouve <\/span><a href=\"https:\/\/datascientest.com\/data-science-definition\"><span style=\"font-weight: 400;\">la data science<\/span><\/a><span style=\"font-weight: 400;\">, avec la manipulation de donn\u00e9es via la biblioth\u00e8que <\/span><i><span style=\"font-weight: 400;\">DataFrames.jl<\/span><\/i><span style=\"font-weight: 400;\">. En <\/span><a href=\"https:\/\/datascientest.com\/machine-learning-tout-savoir\"><span style=\"font-weight: 400;\">machine learning<\/span><\/a><span style=\"font-weight: 400;\">, Julia permet de construire des r\u00e9seaux de neurones gr\u00e2ce \u00e0 <\/span><i><span style=\"font-weight: 400;\">Flux.jl<\/span><\/i><span style=\"font-weight: 400;\">.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Pour la <\/span><b>visualisation<\/b><span style=\"font-weight: 400;\">, on peut cr\u00e9er des graphiques interactifs avec <\/span><i><span style=\"font-weight: 400;\">Plots.jl<\/span><\/i><span style=\"font-weight: 400;\">. Julia est \u00e9galement utilis\u00e9e en <\/span><b>simulation num\u00e9rique<\/b><span style=\"font-weight: 400;\">, notamment pour le calcul diff\u00e9rentiel, la dynamique des fluides ou encore la mod\u00e9lisation physique.<\/span><span style=\"font-weight: 400;\"><br \/><\/span><\/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-8f66817 e-flex e-con-boxed e-con\" data-id=\"8f66817\" 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-db4fc1d elementor-widget elementor-widget-heading\" data-id=\"db4fc1d\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Julia vs Python, R, Matlab \n<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b6d129c elementor-widget elementor-widget-text-editor\" data-id=\"b6d129c\" 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<table><tbody><tr><td><p><b>Crit\u00e8re<\/b><\/p><\/td><td><p><b>Julia<\/b><\/p><\/td><td><p><b>Python<\/b><\/p><\/td><td><p><b>R<\/b><\/p><\/td><td><p><b>Matlab<\/b><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Vitesse<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">\ud83d\udd3c Excellente<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Bonne<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Moyenne<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Bonne<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Syntaxe<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Simple<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Simple<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Sp\u00e9cialis\u00e9e<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Technique<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Open Source<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Oui<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Oui<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Oui<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Non<\/span><\/p><\/td><\/tr><tr><td><p><span style=\"font-weight: 400;\">Sp\u00e9cialit\u00e9<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Calcul num\u00e9rique<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Polyvalent<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Statistique<\/span><\/p><\/td><td><p><span style=\"font-weight: 400;\">Ing\u00e9nierie<\/span><\/p><\/td><\/tr><\/tbody><\/table><p>\u00a0<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6c5c6fe elementor-widget elementor-widget-image\" data-id=\"6c5c6fe\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"450\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2025\/03\/team-programmers-talking-about-algorithm-running-laptop-screen-pointing-source-code-while-sitting-desk-software-developers-collaborating-data-coding-group-project-1024x576.webp\" class=\"attachment-large size-large wp-image-270340\" alt=\"Deux d\u00e9veloppeurs collaborant sur un projet de programmation, discutant d&#039;un algorithme affich\u00e9 sur l&#039;\u00e9cran d&#039;un ordinateur portable. Ils utilisent probablement un langage comme Julia pour le d\u00e9veloppement de solutions complexes en data science ou en calcul scientifique.\" loading=\"lazy\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2025\/03\/team-programmers-talking-about-algorithm-running-laptop-screen-pointing-source-code-while-sitting-desk-software-developers-collaborating-data-coding-group-project-1024x576.webp 1024w, https:\/\/datascientest.com\/wp-content\/uploads\/2025\/03\/team-programmers-talking-about-algorithm-running-laptop-screen-pointing-source-code-while-sitting-desk-software-developers-collaborating-data-coding-group-project-300x169.webp 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2025\/03\/team-programmers-talking-about-algorithm-running-laptop-screen-pointing-source-code-while-sitting-desk-software-developers-collaborating-data-coding-group-project-768x432.webp 768w, https:\/\/datascientest.com\/wp-content\/uploads\/2025\/03\/team-programmers-talking-about-algorithm-running-laptop-screen-pointing-source-code-while-sitting-desk-software-developers-collaborating-data-coding-group-project-1536x864.webp 1536w, https:\/\/datascientest.com\/wp-content\/uploads\/2025\/03\/team-programmers-talking-about-algorithm-running-laptop-screen-pointing-source-code-while-sitting-desk-software-developers-collaborating-data-coding-group-project.webp 2000w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\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\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-8e52ac5 e-flex e-con-boxed e-con\" data-id=\"8e52ac5\" 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-e00cf60 elementor-widget elementor-widget-heading\" data-id=\"e00cf60\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Comment progresser rapidement ? \n\n<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9ebe31e elementor-widget elementor-widget-text-editor\" data-id=\"9ebe31e\" 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<p><span style=\"font-weight: 400;\">Pour progresser efficacement avec Julia, commencez par cr\u00e9er de petits projets concrets, comme une mini-calculatrice ou une visualisation de donn\u00e9es simples. Cela vous permettra de mettre rapidement en pratique les bases du langage. Participez \u00e9galement aux challenges propos\u00e9s sur le forum <\/span><b>JuliaLang Discourse<\/b><span style=\"font-weight: 400;\">, une communaut\u00e9 active o\u00f9 vous pouvez apprendre en confrontant vos id\u00e9es \u00e0 celles des autres.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Prenez aussi le temps d\u2019explorer des projets open source sur <\/span><a href=\"https:\/\/datascientest.com\/github-repository-tout-savoir\"><span style=\"font-weight: 400;\">GitHub<\/span><\/a><span style=\"font-weight: 400;\">, en ciblant les d\u00e9p\u00f4ts associ\u00e9s au tag<\/span><b> #Julia<\/b><span style=\"font-weight: 400;\"> : c\u2019est une excellente mani\u00e8re de d\u00e9couvrir des cas d\u2019usage vari\u00e9s et de vous inspirer de bonnes pratiques.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Enfin, consultez r\u00e9guli\u00e8rement la documentation officielle de Julia et testez les extraits de code directement dans <\/span><b>le REPL (l\u2019environnement interactif de Julia)<\/b><span style=\"font-weight: 400;\"> pour exp\u00e9rimenter et approfondir votre compr\u00e9hension.<\/span><span style=\"font-weight: 400;\"><br \/><\/span><\/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-6b86ac1 e-flex e-con-boxed e-con\" data-id=\"6b86ac1\" 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-39c56b9 elementor-widget elementor-widget-heading\" data-id=\"39c56b9\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Conclusion<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-42a10bf elementor-widget elementor-widget-text-editor\" data-id=\"42a10bf\" 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<p><span style=\"font-weight: 400;\">Julia prog est plus qu&rsquo;un mot-cl\u00e9 : c&rsquo;est une porte d&rsquo;entr\u00e9e vers un langage moderne, rapide et taill\u00e9 pour l&rsquo;avenir de la science et de la donn\u00e9e. Accessible, performant et de plus en plus adopt\u00e9, il m\u00e9rite une place de choix dans votre bo\u00eete \u00e0 outils de d\u00e9veloppeur.<\/span><\/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-579ee40 e-flex e-con-boxed e-con\" data-id=\"579ee40\" 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-e44e219 elementor-align-center elementor-widget elementor-widget-button\" data-id=\"e44e219\" 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-sm\" href=\"https:\/\/datascientest.com\/formation-data-scientist\">\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\">Devenir Data Scientist<\/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-2f3be77 e-flex e-con-boxed e-con\" data-id=\"2f3be77\" 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-f788000 elementor-widget elementor-widget-html\" data-id=\"f788000\" 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    {\r\n      \"@type\": \"Question\",\r\n      \"name\": \"Julia, c\u2019est quoi ?\",\r\n      \"acceptedAnswer\": {\r\n        \"@type\": \"Answer\",\r\n        \"text\": \"Julia est un langage de programmation haut niveau, open source, con\u00e7u en 2012 pour allier la vitesse du C \u00e0 la simplicit\u00e9 de Python. Il est appr\u00e9ci\u00e9 pour sa performance, sa syntaxe claire et son adoption croissante dans les domaines scientifiques.\"\r\n      }\r\n    },\r\n    {\r\n      \"@type\": \"Question\",\r\n      \"name\": \"Pourquoi apprendre Julia ?\",\r\n      \"acceptedAnswer\": {\r\n        \"@type\": \"Answer\",\r\n        \"text\": \"Julia offre des performances proches du langage machine, une syntaxe accessible, une interop\u00e9rabilit\u00e9 avec d'autres langages, un support natif du parall\u00e9lisme et un \u00e9cosyst\u00e8me en plein essor. C\u2019est un excellent choix pour la data science, l\u2019IA et le calcul scientifique.\"\r\n      }\r\n    },\r\n    {\r\n      \"@type\": \"Question\",\r\n      \"name\": \"Comment installer Julia et \u00e9crire son premier programme ?\",\r\n      \"acceptedAnswer\": {\r\n        \"@type\": \"Answer\",\r\n        \"text\": \"T\u00e9l\u00e9chargez Julia depuis julialang.org, installez-le selon votre syst\u00e8me d\u2019exploitation, puis lancez le REPL ou utilisez Jupyter via IJulia. Un premier script simple : println(\\\"Hello, Julia!\\\")\"\r\n      }\r\n    },\r\n    {\r\n      \"@type\": \"Question\",\r\n      \"name\": \"Quelles sont les bases de Julia ?\",\r\n      \"acceptedAnswer\": {\r\n        \"@type\": \"Answer\",\r\n        \"text\": \"Julia d\u00e9tecte automatiquement les types de variables, propose une syntaxe simple pour les boucles et fonctions, et offre des collections comme les tableaux ou dictionnaires. Sa fonctionnalit\u00e9 phare est le multiple dispatch, pour une gestion efficace des types d\u2019arguments.\"\r\n      }\r\n    },\r\n    {\r\n      \"@type\": \"Question\",\r\n      \"name\": \"Quels sont les cas d\u2019usage concrets de Julia ?\",\r\n      \"acceptedAnswer\": {\r\n        \"@type\": \"Answer\",\r\n        \"text\": \"Julia est utilis\u00e9 en data science (DataFrames.jl), en machine learning (Flux.jl), pour la visualisation (Plots.jl) et dans des domaines pointus comme la simulation num\u00e9rique ou la mod\u00e9lisation physique.\"\r\n      }\r\n    },\r\n    {\r\n      \"@type\": \"Question\",\r\n      \"name\": \"Comment Julia se compare-t-il \u00e0 Python, R et Matlab ?\",\r\n      \"acceptedAnswer\": {\r\n        \"@type\": \"Answer\",\r\n        \"text\": \"Julia est plus rapide que Python, R et Matlab pour le calcul num\u00e9rique. Il est open source, avec une syntaxe simple et une orientation forte vers le HPC et la mod\u00e9lisation scientifique, l\u00e0 o\u00f9 Python est plus polyvalent, R statistique et Matlab technique.\"\r\n      }\r\n    },\r\n    {\r\n      \"@type\": \"Question\",\r\n      \"name\": \"Comment progresser rapidement avec Julia ?\",\r\n      \"acceptedAnswer\": {\r\n        \"@type\": \"Answer\",\r\n        \"text\": \"Cr\u00e9ez des projets simples, participez au forum JuliaLang, explorez les projets open source sur GitHub, et exp\u00e9rimentez dans le REPL. La pratique r\u00e9guli\u00e8re et la consultation de la documentation officielle sont essentielles.\"\r\n      }\r\n    }\r\n  ]\r\n}\r\n<\/script>\r\n\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>Julia est un langage de programmation moderne, puissant et de plus en plus pris\u00e9 dans les domaines de la data science, du calcul scientifique et de l&rsquo;intelligence artificielle. Bien qu\u2019il ne figure pas encore parmi les langages les plus populaires \u2013 domin\u00e9s par des g\u00e9ants comme Python, R ou MATLAB -, il incarne une vision [&hellip;]<\/p>\n","protected":false},"author":78,"featured_media":270327,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2497],"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>Julia : Le langage cr\u00e9\u00e9 pour la data science et la recherche<\/title>\n<meta name=\"description\" content=\"Julia est un langage de programmation moderne, puissant et de plus en plus pris\u00e9 dans les domaines de la data science, du calcul scientifique et de l&#039;intelligence artificielle. D\u00e9couvrez pourquoi ce langage vaut le d\u00e9tour et comment il pourrait r\u00e9volutionner votre fa\u00e7on de coder !\" \/>\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\/julia-tout-savoir\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Julia : Le langage cr\u00e9\u00e9 pour la data science et la recherche\" \/>\n<meta property=\"og:url\" content=\"https:\/\/datascientest.com\/julia-tout-savoir\" \/>\n<meta property=\"og:site_name\" content=\"Formation Data Science | DataScientest.com\" \/>\n<meta property=\"article:published_time\" content=\"2025-03-28T06:30:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-03-28T15:52:49+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/datascientest.com\/wp-content\/uploads\/2025\/03\/coding-man.webp\" \/>\n\t<meta property=\"og:image:width\" content=\"2000\" \/>\n\t<meta property=\"og:image:height\" content=\"1334\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/webp\" \/>\n<meta name=\"author\" content=\"J\u00e9r\u00e9my Robert\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u00c9crit par\" \/>\n\t<meta name=\"twitter:data1\" content=\"J\u00e9r\u00e9my Robert\" \/>\n\t<meta name=\"twitter:label2\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data2\" content=\"6 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/datascientest.com\/julia-tout-savoir\",\"url\":\"https:\/\/datascientest.com\/julia-tout-savoir\",\"name\":\"Julia : Le langage cr\u00e9\u00e9 pour la data science et la recherche\",\"isPartOf\":{\"@id\":\"https:\/\/datascientest.com\/#website\"},\"datePublished\":\"2025-03-28T06:30:00+00:00\",\"dateModified\":\"2025-03-28T15:52:49+00:00\",\"author\":{\"@id\":\"https:\/\/datascientest.com\/#\/schema\/person\/7af2361c48e24e79a8aa2360e6e74925\"},\"description\":\"Julia est un langage de programmation moderne, puissant et de plus en plus pris\u00e9 dans les domaines de la data science, du calcul scientifique et de l'intelligence artificielle. D\u00e9couvrez pourquoi ce langage vaut le d\u00e9tour et comment il pourrait r\u00e9volutionner votre fa\u00e7on de coder !\",\"inLanguage\":\"fr-FR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/datascientest.com\/julia-tout-savoir\"]}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/datascientest.com\/#website\",\"url\":\"https:\/\/datascientest.com\/\",\"name\":\"Formation Data Science | DataScientest.com\",\"description\":\"Leader de la formation en Data Science\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/datascientest.com\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"fr-FR\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/datascientest.com\/#\/schema\/person\/7af2361c48e24e79a8aa2360e6e74925\",\"name\":\"J\u00e9r\u00e9my Robert\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\/\/datascientest.com\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/11\/jeremyrobert.jpeg\",\"contentUrl\":\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/11\/jeremyrobert.jpeg\",\"caption\":\"J\u00e9r\u00e9my Robert\"},\"description\":\"J\u00e9r\u00e9my Robert est actuellement Directeur p\u00e9dagogique B2B chez DataScientest.com. Avant de rejoindre DataScientest, il a travaill\u00e9 en tant que Consultant Business Intelligence chez DEAPDATA, o\u00f9 il a g\u00e9r\u00e9 des projets dans les domaines de l'assurance, bancaire et industrie. Il a \u00e9galement \u00e9t\u00e9 Co-fondateur et pr\u00e9sident de Tripzer. En tant que consultant ind\u00e9pendant, J\u00e9r\u00e9my a propos\u00e9 des formations sur MicroStrategy pour divers niveaux professionnels. Il est dipl\u00f4m\u00e9 de l'Universit\u00e9 Paris Cit\u00e9 avec un Master MIAGE, combinant comp\u00e9tences en informatique et gestion.\",\"sameAs\":[\"https:\/\/www.linkedin.com\/in\/jeremyrobert1\/\",\"Data Science\"],\"url\":\"https:\/\/datascientest.com\/author\/jeremyrobert\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Julia : Le langage cr\u00e9\u00e9 pour la data science et la recherche","description":"Julia est un langage de programmation moderne, puissant et de plus en plus pris\u00e9 dans les domaines de la data science, du calcul scientifique et de l'intelligence artificielle. D\u00e9couvrez pourquoi ce langage vaut le d\u00e9tour et comment il pourrait r\u00e9volutionner votre fa\u00e7on de coder !","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\/julia-tout-savoir","og_locale":"fr_FR","og_type":"article","og_title":"Julia : Le langage cr\u00e9\u00e9 pour la data science et la recherche","og_url":"https:\/\/datascientest.com\/julia-tout-savoir","og_site_name":"Formation Data Science | DataScientest.com","article_published_time":"2025-03-28T06:30:00+00:00","article_modified_time":"2025-03-28T15:52:49+00:00","og_image":[{"width":2000,"height":1334,"url":"https:\/\/datascientest.com\/wp-content\/uploads\/2025\/03\/coding-man.webp","type":"image\/webp"}],"author":"J\u00e9r\u00e9my Robert","twitter_card":"summary_large_image","twitter_misc":{"\u00c9crit par":"J\u00e9r\u00e9my Robert","Dur\u00e9e de lecture estim\u00e9e":"6 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/datascientest.com\/julia-tout-savoir","url":"https:\/\/datascientest.com\/julia-tout-savoir","name":"Julia : Le langage cr\u00e9\u00e9 pour la data science et la recherche","isPartOf":{"@id":"https:\/\/datascientest.com\/#website"},"datePublished":"2025-03-28T06:30:00+00:00","dateModified":"2025-03-28T15:52:49+00:00","author":{"@id":"https:\/\/datascientest.com\/#\/schema\/person\/7af2361c48e24e79a8aa2360e6e74925"},"description":"Julia est un langage de programmation moderne, puissant et de plus en plus pris\u00e9 dans les domaines de la data science, du calcul scientifique et de l'intelligence artificielle. D\u00e9couvrez pourquoi ce langage vaut le d\u00e9tour et comment il pourrait r\u00e9volutionner votre fa\u00e7on de coder !","inLanguage":"fr-FR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/datascientest.com\/julia-tout-savoir"]}]},{"@type":"WebSite","@id":"https:\/\/datascientest.com\/#website","url":"https:\/\/datascientest.com\/","name":"Formation Data Science | DataScientest.com","description":"Leader de la formation en Data Science","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/datascientest.com\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"fr-FR"},{"@type":"Person","@id":"https:\/\/datascientest.com\/#\/schema\/person\/7af2361c48e24e79a8aa2360e6e74925","name":"J\u00e9r\u00e9my Robert","image":{"@type":"ImageObject","inLanguage":"fr-FR","@id":"https:\/\/datascientest.com\/#\/schema\/person\/image\/","url":"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/11\/jeremyrobert.jpeg","contentUrl":"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/11\/jeremyrobert.jpeg","caption":"J\u00e9r\u00e9my Robert"},"description":"J\u00e9r\u00e9my Robert est actuellement Directeur p\u00e9dagogique B2B chez DataScientest.com. Avant de rejoindre DataScientest, il a travaill\u00e9 en tant que Consultant Business Intelligence chez DEAPDATA, o\u00f9 il a g\u00e9r\u00e9 des projets dans les domaines de l'assurance, bancaire et industrie. Il a \u00e9galement \u00e9t\u00e9 Co-fondateur et pr\u00e9sident de Tripzer. En tant que consultant ind\u00e9pendant, J\u00e9r\u00e9my a propos\u00e9 des formations sur MicroStrategy pour divers niveaux professionnels. Il est dipl\u00f4m\u00e9 de l'Universit\u00e9 Paris Cit\u00e9 avec un Master MIAGE, combinant comp\u00e9tences en informatique et gestion.","sameAs":["https:\/\/www.linkedin.com\/in\/jeremyrobert1\/","Data Science"],"url":"https:\/\/datascientest.com\/author\/jeremyrobert"}]}},"_links":{"self":[{"href":"https:\/\/datascientest.com\/wp-json\/wp\/v2\/posts\/270275"}],"collection":[{"href":"https:\/\/datascientest.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/datascientest.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/datascientest.com\/wp-json\/wp\/v2\/users\/78"}],"replies":[{"embeddable":true,"href":"https:\/\/datascientest.com\/wp-json\/wp\/v2\/comments?post=270275"}],"version-history":[{"count":68,"href":"https:\/\/datascientest.com\/wp-json\/wp\/v2\/posts\/270275\/revisions"}],"predecessor-version":[{"id":270711,"href":"https:\/\/datascientest.com\/wp-json\/wp\/v2\/posts\/270275\/revisions\/270711"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/datascientest.com\/wp-json\/wp\/v2\/media\/270327"}],"wp:attachment":[{"href":"https:\/\/datascientest.com\/wp-json\/wp\/v2\/media?parent=270275"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/datascientest.com\/wp-json\/wp\/v2\/categories?post=270275"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/datascientest.com\/wp-json\/wp\/v2\/tags?post=270275"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}