{"id":234228,"date":"2024-04-08T05:30:00","date_gmt":"2024-04-08T05:30:00","guid":{"rendered":"https:\/\/datascientest.com\/?p=234228"},"modified":"2024-04-03T09:21:03","modified_gmt":"2024-04-03T09:21:03","slug":"python-fugue-tout-savoir","status":"publish","type":"post","link":"https:\/\/datascientest.com\/python-fugue-tout-savoir","title":{"rendered":"Python Fugue : Tout savoir sur cette biblioth\u00e8que"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"234228\" class=\"elementor elementor-234228\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-b4815ef e-flex e-con-boxed e-con\" data-id=\"b4815ef\" 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-9eb2ac8 elementor-widget elementor-widget-heading\" data-id=\"9eb2ac8\" 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\">L'\u00e9volution continue des technologies de traitement de donn\u00e9es a conduit \u00e0 l'\u00e9mergence de solutions innovantes visant \u00e0 simplifier la complexit\u00e9 inh\u00e9rente \u00e0 la gestion et \u00e0 l'analyse de vastes ensembles de donn\u00e9es. Parmi ces innovations, Python Fugue se distingue comme une biblioth\u00e8que puissante qui permet aux Data Scientists et aux ing\u00e9nieurs de d\u00e9velopper des applications de calcul distribu\u00e9 de mani\u00e8re plus intuitive et efficace.<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d7044f9 elementor-widget elementor-widget-text-editor\" data-id=\"d7044f9\" 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;\">L&rsquo;approche principale de <\/span><b>Fugue <\/b><span style=\"font-weight: 400;\">est de promouvoir une <\/span><b>\u00e9criture de code une fois<\/b><span style=\"font-weight: 400;\">, ex\u00e9cutable partout, sans modification, quelle que soit la plateforme de calcul distribu\u00e9 choisie. Cela est rendu possible gr\u00e2ce \u00e0 son <a href=\"https:\/\/datascientest.com\/api-tout-savoir\">API<\/a> qui abstrait les sp\u00e9cificit\u00e9s de chaque moteur d&rsquo;ex\u00e9cution, permettant ainsi aux utilisateurs de b\u00e9n\u00e9ficier d&rsquo;une flexibilit\u00e9 et d&rsquo;une portabilit\u00e9 in\u00e9gal\u00e9es pour leurs applications. En adoptant Fugue, les d\u00e9veloppeurs peuvent ais\u00e9ment transformer des <\/span><b>scripts<\/b> <a href=\"https:\/\/datascientest.com\/pandas-python-data-science\">Pandas<\/a> en t\u00e2ches distribu\u00e9es \u00e0 grande \u00e9chelle, optimisant ainsi les performances et l&rsquo;efficacit\u00e9 sans n\u00e9cessiter une expertise approfondie des diff\u00e9rents syst\u00e8mes de calcul distribu\u00e9<\/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-a152503 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"a152503\" 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 elementor-animation-grow\" 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\">Tout apprendre sur Python Fugue<\/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-3919e22 e-flex e-con-boxed e-con\" data-id=\"3919e22\" 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-d1b4be8 elementor-widget elementor-widget-heading\" data-id=\"d1b4be8\" 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\">Caract\u00e9ristiques de Fugue<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-832600b elementor-widget elementor-widget-text-editor\" data-id=\"832600b\" 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;\">L&rsquo;adoption de Fugue dans le domaine du traitement des donn\u00e9es repr\u00e9sente un tournant significatif gr\u00e2ce \u00e0 ses caract\u00e9ristiques uniques. Le tableau suivant d\u00e9taille les principales caract\u00e9ristiques de Fugue.<\/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-a146a40 e-flex e-con-boxed e-con\" data-id=\"a146a40\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-ab6dc11 e-con-full e-flex e-con\" data-id=\"ab6dc11\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-84ee8cb elementor-widget elementor-widget-image\" data-id=\"84ee8cb\" 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=\"512\" height=\"512\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/03\/image1-2.png\" class=\"attachment-large size-large wp-image-234235\" alt=\"\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/03\/image1-2.png 512w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/03\/image1-2-300x300.png 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/03\/image1-2-150x150.png 150w\" sizes=\"(max-width: 512px) 100vw, 512px\" \/>\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>\n\t\t<div class=\"elementor-element elementor-element-4a6c588 e-con-full e-flex e-con\" data-id=\"4a6c588\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-11dda50 elementor-widget elementor-widget-heading\" data-id=\"11dda50\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Abstraction sans serveur<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-ffa0ae3 e-con-full e-flex e-con\" data-id=\"ffa0ae3\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ee6a187 elementor-widget elementor-widget-text-editor\" data-id=\"ee6a187\" 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;\">Fugue permet d&rsquo;\u00e9crire des applications de calcul distribu\u00e9 sans se pr\u00e9occuper du serveur ou de <\/span><b>l&rsquo;environnement d&rsquo;ex\u00e9cution sous-jacent<\/b><span style=\"font-weight: 400;\">. Cela signifie que le code \u00e9crit pour Fugue peut \u00eatre ex\u00e9cut\u00e9 sur diff\u00e9rents moteurs comme <\/span><b>Spark<\/b><span style=\"font-weight: 400;\">, <\/span><b>Dask<\/b><span style=\"font-weight: 400;\">, ou en <\/span><b>local<\/b><span style=\"font-weight: 400;\">, <\/span><b>sans modification<\/b><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>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-ff1dc9e e-flex e-con-boxed e-con\" data-id=\"ff1dc9e\" 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<div class=\"elementor-element elementor-element-b1deb30 e-con-full e-flex e-con\" data-id=\"b1deb30\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-258520d elementor-widget elementor-widget-image\" data-id=\"258520d\" 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=\"512\" height=\"512\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/03\/image6-2.png\" class=\"attachment-large size-large wp-image-234236\" alt=\"\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/03\/image6-2.png 512w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/03\/image6-2-300x300.png 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/03\/image6-2-150x150.png 150w\" sizes=\"(max-width: 512px) 100vw, 512px\" \/>\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>\n\t\t<div class=\"elementor-element elementor-element-3c33ad5 e-con-full e-flex e-con\" data-id=\"3c33ad5\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-cb7069a elementor-widget elementor-widget-heading\" data-id=\"cb7069a\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Interface intuitive<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-38d7f79 e-con-full e-flex e-con\" data-id=\"38d7f79\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-92f8c0c elementor-widget elementor-widget-text-editor\" data-id=\"92f8c0c\" 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;\">Son interface est con\u00e7ue pour \u00eatre <\/span><b>intuitive <\/b><span style=\"font-weight: 400;\">pour les utilisateurs de Pandas et Spark, permettant une transition en douceur vers le calcul distribu\u00e9 sans n\u00e9cessiter une courbe d&rsquo;apprentissage abrupte.<\/span><\/p>\t\t\t\t\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-0fe9b7c e-flex e-con-boxed e-con\" data-id=\"0fe9b7c\" 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<div class=\"elementor-element elementor-element-5a09f1b e-con-full e-flex e-con\" data-id=\"5a09f1b\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1ed2629 elementor-widget elementor-widget-image\" data-id=\"1ed2629\" 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=\"512\" height=\"512\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/03\/image3-2.png\" class=\"attachment-large size-large wp-image-234237\" alt=\"\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/03\/image3-2.png 512w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/03\/image3-2-300x300.png 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/03\/image3-2-150x150.png 150w\" sizes=\"(max-width: 512px) 100vw, 512px\" \/>\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>\n\t\t<div class=\"elementor-element elementor-element-98d5e1b e-con-full e-flex e-con\" data-id=\"98d5e1b\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9018602 elementor-widget elementor-widget-heading\" data-id=\"9018602\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Prise en charge de multiples moteurs d'ex\u00e9cution<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-5597ccb e-con-full e-flex e-con\" data-id=\"5597ccb\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-08e0cf9 elementor-widget elementor-widget-text-editor\" data-id=\"08e0cf9\" 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;\">Fugue est compatible avec une vari\u00e9t\u00e9 de <\/span><b>moteurs d&rsquo;ex\u00e9cution<\/b><span style=\"font-weight: 400;\">, offrant aux utilisateurs la flexibilit\u00e9 de choisir l&rsquo;environnement le plus adapt\u00e9 \u00e0 leurs besoins sp\u00e9cifiques, qu&rsquo;il s&rsquo;agisse de performances, de co\u00fbt, ou d&rsquo;autres crit\u00e8res.<\/span><\/p>\t\t\t\t\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-6a419c3 e-flex e-con-boxed e-con\" data-id=\"6a419c3\" 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<div class=\"elementor-element elementor-element-07035f8 e-con-full e-flex e-con\" data-id=\"07035f8\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-695c880 elementor-widget elementor-widget-image\" data-id=\"695c880\" 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=\"512\" height=\"512\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/03\/image8.png\" class=\"attachment-large size-large wp-image-234238\" alt=\"\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/03\/image8.png 512w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/03\/image8-300x300.png 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/03\/image8-150x150.png 150w\" sizes=\"(max-width: 512px) 100vw, 512px\" \/>\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>\n\t\t<div class=\"elementor-element elementor-element-4f8ffe4 e-con-full e-flex e-con\" data-id=\"4f8ffe4\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-939ef56 elementor-widget elementor-widget-heading\" data-id=\"939ef56\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Ind\u00e9pendance du langage<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f257345 e-con-full e-flex e-con\" data-id=\"f257345\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9d316df elementor-widget elementor-widget-text-editor\" data-id=\"9d316df\" 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;\">Bien que con\u00e7u en Python, Fugue permet d&rsquo;int\u00e9grer des fonctions \u00e9crites dans <\/span><b>d&rsquo;autres langages<\/b><span style=\"font-weight: 400;\">, comme <a href=\"https:\/\/datascientest.com\/sql-tout-savoir\">SQL<\/a>, augmentant ainsi la versatilit\u00e9 et la puissance des applications d\u00e9velopp\u00e9es.<\/span><\/p>\t\t\t\t\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-704b3b7 e-flex e-con-boxed e-con\" data-id=\"704b3b7\" 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<div class=\"elementor-element elementor-element-ce25b8f e-con-full e-flex e-con\" data-id=\"ce25b8f\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-be68920 elementor-widget elementor-widget-image\" data-id=\"be68920\" 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=\"512\" height=\"512\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/03\/image7.png\" class=\"attachment-large size-large wp-image-234239\" alt=\"\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/03\/image7.png 512w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/03\/image7-300x300.png 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/03\/image7-150x150.png 150w\" sizes=\"(max-width: 512px) 100vw, 512px\" \/>\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>\n\t\t<div class=\"elementor-element elementor-element-761c280 e-con-full e-flex e-con\" data-id=\"761c280\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0a48258 elementor-widget elementor-widget-heading\" data-id=\"0a48258\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Extension et personnalisation<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-52219e5 e-con-full e-flex e-con\" data-id=\"52219e5\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-722b4c5 elementor-widget elementor-widget-text-editor\" data-id=\"722b4c5\" 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;\">Fugue fournit un ensemble <\/span><b>d&rsquo;extensions <\/b><span style=\"font-weight: 400;\">et de <\/span><b>plugins<\/b><span style=\"font-weight: 400;\">, permettant aux utilisateurs de personnaliser et d&rsquo;\u00e9tendre les fonctionnalit\u00e9s.<\/span><\/p>\t\t\t\t\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-64a08f8 e-flex e-con-boxed e-con\" data-id=\"64a08f8\" 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<div class=\"elementor-element elementor-element-5426481 e-con-full e-flex e-con\" data-id=\"5426481\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a299e52 elementor-widget elementor-widget-image\" data-id=\"a299e52\" 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=\"512\" height=\"512\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/03\/image2-2.png\" class=\"attachment-large size-large wp-image-234240\" alt=\"\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/03\/image2-2.png 512w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/03\/image2-2-300x300.png 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/03\/image2-2-150x150.png 150w\" sizes=\"(max-width: 512px) 100vw, 512px\" \/>\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>\n\t\t<div class=\"elementor-element elementor-element-49dddd7 e-con-full e-flex e-con\" data-id=\"49dddd7\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-74ca3d3 elementor-widget elementor-widget-heading\" data-id=\"74ca3d3\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Optimisation des performances<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-977f775 e-con-full e-flex e-con\" data-id=\"977f775\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8cd8bae elementor-widget elementor-widget-text-editor\" data-id=\"8cd8bae\" 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;\">Gr\u00e2ce \u00e0 sa capacit\u00e9 \u00e0 <\/span><b>abstraire les d\u00e9tails de bas niveau<\/b><span style=\"font-weight: 400;\">, Fugue optimise automatiquement les t\u00e2ches pour le moteur d&rsquo;ex\u00e9cution choisi, am\u00e9liorant ainsi les performances sans effort suppl\u00e9mentaire de la part du d\u00e9veloppeur.<\/span><\/p>\t\t\t\t\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-7da2a29 e-flex e-con-boxed e-con\" data-id=\"7da2a29\" 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<div class=\"elementor-element elementor-element-bd10442 e-con-full e-flex e-con\" data-id=\"bd10442\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-cdcfcc1 elementor-widget elementor-widget-image\" data-id=\"cdcfcc1\" 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=\"512\" height=\"512\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/03\/image4-2.png\" class=\"attachment-large size-large wp-image-234241\" alt=\"\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/03\/image4-2.png 512w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/03\/image4-2-300x300.png 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/03\/image4-2-150x150.png 150w\" sizes=\"(max-width: 512px) 100vw, 512px\" \/>\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>\n\t\t<div class=\"elementor-element elementor-element-df11cd5 e-con-full e-flex e-con\" data-id=\"df11cd5\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8b5c413 elementor-widget elementor-widget-heading\" data-id=\"8b5c413\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Simplicit\u00e9 de migratio<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-68b4c07 e-con-full e-flex e-con\" data-id=\"68b4c07\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;full&quot;}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-bda7eeb elementor-widget elementor-widget-text-editor\" data-id=\"bda7eeb\" 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;\">La <\/span><b>migration <\/b><span style=\"font-weight: 400;\">des scripts de traitement de donn\u00e9es existants vers un environnement de calcul distribu\u00e9 est <\/span><b>facilit\u00e9<\/b><span style=\"font-weight: 400;\">, r\u00e9duisant significativement le temps et les ressources n\u00e9cessaires pour adapter les applications \u00e0 grande \u00e9chelle.<\/span><\/p>\t\t\t\t\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-8256d1d e-flex e-con-boxed e-con\" data-id=\"8256d1d\" 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-d7cff6e elementor-widget elementor-widget-heading\" data-id=\"d7cff6e\" 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\">Exemple d\u2019utilisation de Fugue<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5acb8d4 elementor-widget elementor-widget-text-editor\" data-id=\"5acb8d4\" 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;\">Abordons un exemple pratique illustrant l&rsquo;utilisation de Fugue pour construire et d\u00e9ployer un simple mod\u00e8le de machine learning sur diff\u00e9rents moteurs d&rsquo;ex\u00e9cution. Cet exemple d\u00e9montre la polyvalence de Fugue en permettant aux utilisateurs d&rsquo;ex\u00e9cuter le m\u00eame code de ML sur des environnements <\/span><b>locaux<\/b><span style=\"font-weight: 400;\">, <\/span><b>Spark<\/b><span style=\"font-weight: 400;\">, ou <\/span><b>Dask<\/b><span style=\"font-weight: 400;\">, sans modifications substantielles.<\/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-5440144 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"5440144\" 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 elementor-animation-grow\" 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\">Ma\u00eetriser Python Fugue<\/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<div class=\"elementor-element elementor-element-f5ba461 elementor-widget elementor-widget-heading\" data-id=\"f5ba461\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">1. Cr\u00e9ation d\u2019un dataset fictif<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b0b5450 elementor-widget elementor-widget-text-editor\" data-id=\"b0b5450\" 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;\">Commen\u00e7ons par cr\u00e9er un <a href=\"https:\/\/datascientest.com\/quest-ce-quun-dataframe\">DataFrame<\/a> Pandas simple pour simuler un jeu de donn\u00e9es de prix d&rsquo;appartements, avec des caract\u00e9ristiques telles que la taille de l&rsquo;appartement (en m\u00e8tres carr\u00e9s) la distance jusqu&rsquo;au centre-ville (en kilom\u00e8tres) et son prix.<\/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-342d646 elementor-widget elementor-widget-code-highlight\" data-id=\"342d646\" data-element_type=\"widget\" data-widget_type=\"code-highlight.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"prismjs-okaidia  word-wrap\">\n\t\t\t<pre data-line=\"\" class=\"highlight-height language-python \">\n\t\t\t\t<code readonly=\"true\" class=\"language-python\">\n\t\t\t\t\t<xmp>import pandas as pd\r\n\r\n# Cr\u00e9ation d'un DataFrame d'exemple\r\ndata = {\r\n    \"size\": [50, 60, 70, 80, 90],\r\n    \"distance\": [5, 3, 2, 8, 7],\r\n    \"price\": [250000, 270000, 290000, 200000, 230000]\r\n}\r\n\r\ndf = pd.DataFrame(data)<\/xmp>\n\t\t\t\t<\/code>\n\t\t\t<\/pre>\n\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-b32dfe7 elementor-widget elementor-widget-heading\" data-id=\"b32dfe7\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">2. Pr\u00e9paration des donn\u00e9es et entra\u00eenement du mod\u00e8le<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-03e520d elementor-widget elementor-widget-text-editor\" data-id=\"03e520d\" 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;\">D\u00e9finissons maintenant une fonction qui prendra le DataFrame comme entr\u00e9e, pr\u00e9parera les donn\u00e9es pour l&rsquo;entra\u00eenement, entra\u00eenera un mod\u00e8le de r\u00e9gression lin\u00e9aire simple et retournera les coefficients du mod\u00e8le.<\/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-6ce5ce6 elementor-widget elementor-widget-code-highlight\" data-id=\"6ce5ce6\" data-element_type=\"widget\" data-widget_type=\"code-highlight.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"prismjs-okaidia  word-wrap\">\n\t\t\t<pre data-line=\"\" class=\"highlight-height language-python \">\n\t\t\t\t<code readonly=\"true\" class=\"language-python\">\n\t\t\t\t\t<xmp>from sklearn.model_selection import train_test_split\r\nfrom sklearn.linear_model import LinearRegression\r\n\r\ndef train_model(df: pd.DataFrame) -> pd.DataFrame:\r\n    X = df[[\"size\", \"distance\"]]\r\n    y = df[\"price\"]\r\n    \r\n    # Division des donn\u00e9es en ensemble d'entra\u00eenement et de test\r\n    X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\r\n    \r\n    # Entra\u00eenement du mod\u00e8le de r\u00e9gression lin\u00e9aire\r\n    model = LinearRegression()\r\n    model.fit(X_train, y_train)\r\n    \r\n    # On retourne les coefficients du mod\u00e8le\r\n    return pd.DataFrame({\r\n        \"coef\": [\"intercept\", \"size\", \"distance\"],\r\n        \"value\": [model.intercept_, *modele.coef_]\r\n    })\r\n<\/xmp>\n\t\t\t\t<\/code>\n\t\t\t<\/pre>\n\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-e472be3 elementor-widget elementor-widget-heading\" data-id=\"e472be3\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">3. Ex\u00e9cution sur diff\u00e9rents moteurs avec Fugue<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b01c54c elementor-widget elementor-widget-text-editor\" data-id=\"b01c54c\" 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 Fugue, nous allons ex\u00e9cuter maintenant la fonction d\u2019entra\u00eenement du mod\u00e8le sur divers moteurs d&rsquo;ex\u00e9cution sans changer le code.<\/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-3fc79e5 elementor-widget elementor-widget-code-highlight\" data-id=\"3fc79e5\" data-element_type=\"widget\" data-widget_type=\"code-highlight.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"prismjs-okaidia  \">\n\t\t\t<pre data-line=\"\" class=\"highlight-height language-javascript \">\n\t\t\t\t<code readonly=\"true\" class=\"language-javascript\">\n\t\t\t\t\t<xmp>from fugue import FugueWorkflow\r\n\r\n# Ex\u00e9cution sur Spark\r\n# Il est possible d\u2019indiquer un autre moteur d\u2019ex\u00e9cution comme Dask ou Ray.\r\n# S\u2019il n\u2019est pas indiqu\u00e9, l\u2019ex\u00e9cution se fera en local\r\nwith FugueWorkflow(engine=\u201dspark\u201d) as dag:\r\n    df_initial = dag.df(df)\r\n    results = df_initial.transform(train_model)\r\n    results.show()<\/xmp>\n\t\t\t\t<\/code>\n\t\t\t<\/pre>\n\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-30fe0e0 elementor-widget elementor-widget-text-editor\" data-id=\"30fe0e0\" 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;\">Cet exemple illustre comment Fugue simplifie le processus de construction et de d\u00e9ploiement de mod\u00e8les de machine learning sur diff\u00e9rents environnements de calcul.<\/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-3e6c4f2 e-flex e-con-boxed e-con\" data-id=\"3e6c4f2\" 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-ef7e382 elementor-widget elementor-widget-heading\" data-id=\"ef7e382\" 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\">Pour conclure<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d42fc17 elementor-widget elementor-widget-text-editor\" data-id=\"d42fc17\" 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;\">Fugue se r\u00e9v\u00e8le \u00eatre un outil <\/span><b>puissant <\/b><span style=\"font-weight: 400;\">et <\/span><b>versatile <\/b><span style=\"font-weight: 400;\">pour la manipulation et l&rsquo;analyse de donn\u00e9es \u00e0 grande \u00e9chelle, ainsi que pour le d\u00e9veloppement et le d\u00e9ploiement de mod\u00e8les de machine learning. Gr\u00e2ce \u00e0 sa capacit\u00e9 \u00e0 abstraire les complexit\u00e9s des diff\u00e9rents moteurs d&rsquo;ex\u00e9cution, il permet aux <a href=\"https:\/\/datascientest.com\/salaire-data-scientist\">Data Scientists<\/a> et aux d\u00e9veloppeurs de se concentrer pleinement sur la r\u00e9solution des probl\u00e8mes m\u00e9tier, sans se laisser entraver par les d\u00e9tails techniques li\u00e9s \u00e0 l&rsquo;infrastructure sous-jacente.<\/span><\/p><p><span style=\"font-weight: 400;\">Fugue se positionne donc non seulement comme un <\/span><b>facilitateur technique<\/b><span style=\"font-weight: 400;\">, mais aussi comme un <\/span><b>catalyseur d&rsquo;innovation<\/b><span style=\"font-weight: 400;\">, en ouvrant des possibilit\u00e9s auparavant inaccessibles \u00e0 cause de la complexit\u00e9 technique. En rendant le calcul distribu\u00e9 accessible et g\u00e9rable, Fugue encourage l&rsquo;exp\u00e9rimentation, la collaboration et l&rsquo;efficacit\u00e9 dans le d\u00e9veloppement de solutions de donn\u00e9es.<\/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-e63e083 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"e63e083\" 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 elementor-animation-grow\" 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\">Se former \u00e0 Python Fugue<\/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<div class=\"elementor-element elementor-element-6087b20 elementor-widget elementor-widget-html\" data-id=\"6087b20\" 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\": \"Qu\u2019est-ce que Fugue ?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"L'approche principale de Fugue est de promouvoir une \u00e9criture de code une fois, ex\u00e9cutable partout, sans modification, quelle que soit la plateforme de calcul distribu\u00e9 choisie. Cela est rendu possible gr\u00e2ce \u00e0 son API qui abstrait les sp\u00e9cificit\u00e9s de chaque moteur d'ex\u00e9cution, permettant ainsi aux utilisateurs de b\u00e9n\u00e9ficier d'une flexibilit\u00e9 et d'une portabilit\u00e9 in\u00e9gal\u00e9es pour leurs applications.\"\r\n    }\r\n  },{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"Pourquoi utiliser Fugue ?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"En adoptant Fugue, les d\u00e9veloppeurs peuvent ais\u00e9ment transformer des scripts Pandas en t\u00e2ches distribu\u00e9es \u00e0 grande \u00e9chelle, optimisant ainsi les performances et l'efficacit\u00e9 sans n\u00e9cessiter une expertise approfondie des diff\u00e9rents syst\u00e8mes de calcul distribu\u00e9.\"\r\n    }\r\n  },{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"Cas d'utilisation de Fugue\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"Fugue est utilis\u00e9 pour construire et d\u00e9ployer un simple mod\u00e8le de machine learning sur diff\u00e9rents moteurs d'ex\u00e9cution. Gr\u00e2ce \u00e0 sa polyvalence, il permet \u00e0 ses utilisateurs d'ex\u00e9cuter le m\u00eame code de ML sur des environnements locaux, Spark, ou Dask, sans modifications substantielles.\"\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>L&rsquo;\u00e9volution continue des technologies de traitement de donn\u00e9es a conduit \u00e0 l&rsquo;\u00e9mergence de solutions innovantes visant \u00e0 simplifier la complexit\u00e9 inh\u00e9rente \u00e0 la gestion et \u00e0 l&rsquo;analyse de vastes ensembles de donn\u00e9es. Parmi ces innovations, Python Fugue se distingue comme une biblioth\u00e8que puissante qui permet aux Data Scientists et aux ing\u00e9nieurs de d\u00e9velopper des applications [&hellip;]<\/p>\n","protected":false},"author":77,"featured_media":234231,"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>Python Fugue : Tout savoir sur cette biblioth\u00e8que<\/title>\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\/python-fugue-tout-savoir\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python Fugue : Tout savoir sur cette biblioth\u00e8que\" \/>\n<meta property=\"og:url\" content=\"https:\/\/datascientest.com\/python-fugue-tout-savoir\" \/>\n<meta property=\"og:site_name\" content=\"Formation Data Science | DataScientest.com\" \/>\n<meta property=\"article:published_time\" content=\"2024-04-08T05:30:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-04-03T09:21:03+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/03\/Python_Fugue.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"600\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Raphael Kassel\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u00c9crit par\" \/>\n\t<meta name=\"twitter:data1\" content=\"Raphael Kassel\" \/>\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\/python-fugue-tout-savoir\",\"url\":\"https:\/\/datascientest.com\/python-fugue-tout-savoir\",\"name\":\"Python Fugue : Tout savoir sur cette biblioth\u00e8que\",\"isPartOf\":{\"@id\":\"https:\/\/datascientest.com\/#website\"},\"datePublished\":\"2024-04-08T05:30:00+00:00\",\"dateModified\":\"2024-04-03T09:21:03+00:00\",\"author\":{\"@id\":\"https:\/\/datascientest.com\/#\/schema\/person\/6eca16f63daaafcbc96e15549b9d4ee1\"},\"inLanguage\":\"fr-FR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/datascientest.com\/python-fugue-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\/6eca16f63daaafcbc96e15549b9d4ee1\",\"name\":\"Raphael Kassel\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\/\/datascientest.com\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/11\/raph.jpeg\",\"contentUrl\":\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/11\/raph.jpeg\",\"caption\":\"Raphael Kassel\"},\"description\":\"Raphael Kassel est le Head of Data Programs chez DataScientest. Il supervise une \u00e9quipe Data, impl\u00e9mente de nouveaux parcours comme \\\"Chef de projet IA\\\" et \\\"Data Product Manager\\\", et contribue \u00e0 la modernisation des op\u00e9rations du groupe. En collaboration \u00e9troite avec l'\u00e9quipe de d\u00e9veloppement, il adapte l'accompagnement acad\u00e9mique aux \u00e9volutions de l'\u00e9quipe data et \u00e0 l'internationalisation.\",\"sameAs\":[\"https:\/\/www.linkedin.com\/in\/raphaelkassel\/\",\"Data Science\"],\"url\":\"https:\/\/datascientest.com\/author\/raphaelkassel\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Python Fugue : Tout savoir sur cette biblioth\u00e8que","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\/python-fugue-tout-savoir","og_locale":"fr_FR","og_type":"article","og_title":"Python Fugue : Tout savoir sur cette biblioth\u00e8que","og_url":"https:\/\/datascientest.com\/python-fugue-tout-savoir","og_site_name":"Formation Data Science | DataScientest.com","article_published_time":"2024-04-08T05:30:00+00:00","article_modified_time":"2024-04-03T09:21:03+00:00","og_image":[{"width":1200,"height":600,"url":"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/03\/Python_Fugue.png","type":"image\/png"}],"author":"Raphael Kassel","twitter_card":"summary_large_image","twitter_misc":{"\u00c9crit par":"Raphael Kassel","Dur\u00e9e de lecture estim\u00e9e":"6 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/datascientest.com\/python-fugue-tout-savoir","url":"https:\/\/datascientest.com\/python-fugue-tout-savoir","name":"Python Fugue : Tout savoir sur cette biblioth\u00e8que","isPartOf":{"@id":"https:\/\/datascientest.com\/#website"},"datePublished":"2024-04-08T05:30:00+00:00","dateModified":"2024-04-03T09:21:03+00:00","author":{"@id":"https:\/\/datascientest.com\/#\/schema\/person\/6eca16f63daaafcbc96e15549b9d4ee1"},"inLanguage":"fr-FR","potentialAction":[{"@type":"ReadAction","target":["https:\/\/datascientest.com\/python-fugue-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\/6eca16f63daaafcbc96e15549b9d4ee1","name":"Raphael Kassel","image":{"@type":"ImageObject","inLanguage":"fr-FR","@id":"https:\/\/datascientest.com\/#\/schema\/person\/image\/","url":"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/11\/raph.jpeg","contentUrl":"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/11\/raph.jpeg","caption":"Raphael Kassel"},"description":"Raphael Kassel est le Head of Data Programs chez DataScientest. Il supervise une \u00e9quipe Data, impl\u00e9mente de nouveaux parcours comme \"Chef de projet IA\" et \"Data Product Manager\", et contribue \u00e0 la modernisation des op\u00e9rations du groupe. 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