{"id":157573,"date":"2022-06-08T11:24:06","date_gmt":"2022-06-08T10:24:06","guid":{"rendered":"https:\/\/datascientest.com\/?p=157573"},"modified":"2023-11-09T14:04:02","modified_gmt":"2023-11-09T14:04:02","slug":"scipy","status":"publish","type":"post","link":"https:\/\/datascientest.com\/scipy","title":{"rendered":"SciPy : tout savoir sur la biblioth\u00e8que Python de Machine Learning"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"157573\" class=\"elementor elementor-157573\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-b5bb751 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"b5bb751\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-8115a03\" data-id=\"8115a03\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-bde338d elementor-widget elementor-widget-heading\" data-id=\"bde338d\" 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\">Le langage Python est tr\u00e8s utilis\u00e9 dans le domaine de la Data Science. Sa popularit\u00e9 est notamment li\u00e9e \u00e0 ses diff\u00e9rentes biblioth\u00e8ques d\u00e9di\u00e9es \u00e0 l'analyse de donn\u00e9es, telles que SciPy et Numpy.<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-6bf5016 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6bf5016\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-131bf94\" data-id=\"131bf94\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-e7abd8b elementor-widget elementor-widget-heading\" data-id=\"e7abd8b\" 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\">Qu'est-ce que SciPy ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-15631f7 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"15631f7\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-67bafcc\" data-id=\"67bafcc\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-cba0d36 elementor-widget elementor-widget-text-editor\" data-id=\"cba0d36\" 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>SciPy (Scientific Python)<\/strong> est une biblioth\u00e8que open-source d\u00e9di\u00e9e aux calculs de math\u00e9matiques complexes ou de probl\u00e8mes scientifiques. Elle fut cr\u00e9\u00e9e en 2001 par Travis Oliphant, Pearu Peterson et Eric Jones.<\/p><p>Une <strong>fonction math\u00e9matique<\/strong> native et des biblioth\u00e8ques peuvent \u00eatre utilis\u00e9es en science et en ing\u00e9nierie pour r\u00e9soudre diff\u00e9rents types de probl\u00e8mes.<\/p><p>On retrouve aussi des <strong>algorithmes pr\u00e9install\u00e9s<\/strong> pour l&rsquo;optimisation, les \u00e9quations diff\u00e9rentielles, l&rsquo;int\u00e9gration, l&rsquo;interpolation, les \u00e9quations alg\u00e9briques, les statistiques et bien d&rsquo;autres cas d&rsquo;usage.<\/p><p>Le <strong>SciPy est une extension de <a href=\"https:\/\/datascientest.com\/numpy\">Nympy (Numerical Python)<\/a><\/strong>, et permet donc un traitement de donn\u00e9es extr\u00eamement rapide et efficace. Cette biblioth\u00e8que est \u00e9crite en C, C++, Fortran et Python.<\/p><p>Les commandes et classes de haut niveau permettent de manipuler et visualiser les donn\u00e9es de fa\u00e7on simple. De plus, SciPy peut s&rsquo;int\u00e9grer avec de nombreux environnements diff\u00e9rents et regroupe une <strong>large collection de sous-packages<\/strong> pour diff\u00e9rents domaines scientifiques.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-dd407b3 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"dd407b3\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-f08ca66\" data-id=\"f08ca66\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-9b1457d elementor-widget elementor-widget-image\" data-id=\"9b1457d\" 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=\"316\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2022\/04\/data-science-scipy-numpy-1-1024x404.jpg\" class=\"attachment-large size-large wp-image-157582\" alt=\"data-science-scipy-numpy\" loading=\"lazy\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2022\/04\/data-science-scipy-numpy-1-1024x404.jpg 1024w, https:\/\/datascientest.com\/wp-content\/uploads\/2022\/04\/data-science-scipy-numpy-1-300x118.jpg 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2022\/04\/data-science-scipy-numpy-1-768x303.jpg 768w, https:\/\/datascientest.com\/wp-content\/uploads\/2022\/04\/data-science-scipy-numpy-1.jpg 1520w\" 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<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-27643df elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"27643df\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-ceabede\" data-id=\"ceabede\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-80757db elementor-widget elementor-widget-text-editor\" data-id=\"80757db\" 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>On utilise SciPy pour <strong>la Data Science et d&rsquo;autres domaines d&rsquo;ing\u00e9nierie<\/strong>, car il contient les fonctions optimis\u00e9es n\u00e9cessaires et fait office d&rsquo;extension de Numpy. Cet outil peut \u00eatre utilis\u00e9 pour <strong>r\u00e9soudre une large vari\u00e9t\u00e9 de probl\u00e8mes scientifiques<\/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<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-843b3ed elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"843b3ed\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-57feccf\" data-id=\"57feccf\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4669de9 elementor-widget elementor-widget-heading\" data-id=\"4669de9\" 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\">Quels sont les avantages de SciPy ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-735db89 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"735db89\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-428abc7\" data-id=\"428abc7\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a2a6692 elementor-widget elementor-widget-text-editor\" data-id=\"a2a6692\" 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>Gr\u00e2ce \u00e0 une large vari\u00e9t\u00e9 de sous-packages, SciPy permet de surmonter les principaux obstacles li\u00e9s au Calcul Scientifique. Il s&rsquo;agit de la biblioth\u00e8que scientifique <strong>la plus utilis\u00e9e derri\u00e8re GNU Scientific Library en C\/C++ ou Matlab<\/strong>.<\/p><p>Elle est simple \u00e0 comprendre et \u00e0 utiliser, tout en offrant des <strong>performances \u00e9lev\u00e9es en puissance de calcul<\/strong>. En outre, elle permet d&rsquo;op\u00e9rer sur un tableau de biblioth\u00e8que NumPy.<\/p><p>Ses routines de bases de donn\u00e9es permettent la programmation parall\u00e8le. Enfin, sa nature <strong>open source<\/strong> rend cet outil particuli\u00e8rement int\u00e9ressant.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-a94e5b7 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"a94e5b7\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-8fd5863\" data-id=\"8fd5863\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-75769ac elementor-widget elementor-widget-heading\" data-id=\"75769ac\" 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\">SciPy et le Machine Learning<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-60b03af elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"60b03af\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-cca14e2\" data-id=\"cca14e2\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-20e6e87 elementor-widget elementor-widget-text-editor\" data-id=\"20e6e87\" 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><strong>Les <a href=\"https:\/\/datascientest.com\/machine-learning-engineer-tout-savoir\">ing\u00e9nieurs en Machine Learning<\/a> utilisent SciPy <\/strong>pour de nombreux cas d&rsquo;usage. Cet outil permet de construire et d&rsquo;am\u00e9liorer des algorithmes pour le d\u00e9veloppement Machine Learning.<\/p><p>Ses diff\u00e9rents modules permettent l&rsquo;optimisation d&rsquo;algorithmes, l&rsquo;int\u00e9gration, l&rsquo;alg\u00e8bre lin\u00e9aire ou le traitement de signal. C&rsquo;est la principale raison de sa popularit\u00e9 pour <strong>les projets de Machine Learning<\/strong>.<\/p><p>En outre, SciPy fonctionne avec d&rsquo;autres outils comme <a href=\"https:\/\/datascientest.com\/matplotlib-tout-savoir\">Matplotlib<\/a> pour la visualisation de donn\u00e9es. En g\u00e9n\u00e9ral, tous ces outils fonctionnent conjointement pour permettre aux d\u00e9cisionnaires de <strong>d\u00e9gager des insights \u00e0 partir des donn\u00e9es<\/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<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-e285ada elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"e285ada\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-a5f659a\" data-id=\"a5f659a\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5266bdc elementor-widget elementor-widget-image\" data-id=\"5266bdc\" 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=\"316\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2022\/04\/scipy-machine-learning-1-1024x404.jpg\" class=\"attachment-large size-large wp-image-157583\" alt=\"\" loading=\"lazy\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2022\/04\/scipy-machine-learning-1-1024x404.jpg 1024w, https:\/\/datascientest.com\/wp-content\/uploads\/2022\/04\/scipy-machine-learning-1-300x118.jpg 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2022\/04\/scipy-machine-learning-1-768x303.jpg 768w, https:\/\/datascientest.com\/wp-content\/uploads\/2022\/04\/scipy-machine-learning-1.jpg 1520w\" 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<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-8cefa2a elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"8cefa2a\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-adb3355\" data-id=\"adb3355\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-d75429a elementor-widget elementor-widget-heading\" data-id=\"d75429a\" 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\">SciPy vs NumPy : quelles diff\u00e9rences ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-ba9fa3b elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"ba9fa3b\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-b0e4c9d\" data-id=\"b0e4c9d\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a4420b0 elementor-widget elementor-widget-text-editor\" data-id=\"a4420b0\" 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>SciPy et Numpy sont des biblioth\u00e8ques essentielles, offrant <strong>une large gamme de fonctions ou de m\u00e9thodes en Python<\/strong>. Toutefois, plusieurs diff\u00e9rences les distinguent.<\/p><p>En termes de fonctions, SciPy offre davantage de d\u00e9tails. Il peut aussi <strong>effectuer des op\u00e9rations complexes<\/strong> comme les algorithmes num\u00e9riques et les fonctions alg\u00e9briques. De son c\u00f4t\u00e9, Numpy se focalise davantage sur le tri, l&rsquo;indexage et l&rsquo;organisation.<\/p><p>La vitesse de calcul est plus rapide avec Numpy, car il est bas\u00e9 sur le langage C. De son c\u00f4t\u00e9, SciPy est \u00e9crit en Python et d\u00e9livre donc moins de vitesse, mais se r\u00e9v\u00e8le plus fonctionnel.<\/p><p>En tant que biblioth\u00e8que bas\u00e9e sur les fonctions, SciPy n&rsquo;exploite pas le concept de <strong>tableaux<\/strong>. En revanche, Numpy permet de construire des <strong>tableaux multidimensionnels<\/strong> d&rsquo;objets contenant le m\u00eame type de donn\u00e9es.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-d21babc elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"d21babc\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-4daf7c5\" data-id=\"4daf7c5\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-46a366d elementor-widget elementor-widget-heading\" data-id=\"46a366d\" 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\">Comment apprendre \u00e0 utiliser Python, Numpy et SciPy ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-c25bff9 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"c25bff9\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-5f89c03\" data-id=\"5f89c03\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-c9e8bbb elementor-widget elementor-widget-text-editor\" data-id=\"c9e8bbb\" 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>Le langage Python et ses biblioth\u00e8ques sont des outils indispensables du Machine Learning. Pour apprendre \u00e0 les utiliser, vous pouvez choisir <strong>DataScientest<\/strong>.<\/p><p>La programmation Python est au programme de nos diff\u00e9rentes formations Data Analyst, Data Scientist et Data Management. Vous d\u00e9couvrirez <strong>les fondamentaux de Python<\/strong>, et <strong>les biblioth\u00e8ques <a href=\"https:\/\/datascientest.com\/numpy\">NumPy<\/a> et <a href=\"https:\/\/datascientest.com\/pandas-python-data-science\">Pandas<\/a><\/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<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-4708e71 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4708e71\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-5d6e546\" data-id=\"5d6e546\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2987aa6 elementor-widget elementor-widget-text-editor\" data-id=\"2987aa6\" 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>Les autres modules de nos formations couvrent la <strong>Data Visualization<\/strong>, le <a href=\"https:\/\/datascientest.com\/formation-data-scientist\">Machine Learning<\/a>, les bases de donn\u00e9es ou encore la <strong>Business Intelligence<\/strong>. \u00c0 l&rsquo;issue du parcours, vous aurez toutes les comp\u00e9tences requises pour devenir un professionnel de la Data Science.<\/p><p>En fin de cursus, les apprenants re\u00e7oivent un certificat d\u00e9livr\u00e9 par l\u2019Universit\u00e9 Panth\u00e9on Sorbonne ou MINES ParisTech \/ PSL Education dans le cadre de nos partenariats. Parmi les alumnis, 80% ont trouv\u00e9 un emploi imm\u00e9diatement apr\u00e8s la formation.<\/p><p>Toutes nos formations adoptent une approche <strong>Blended Learning<\/strong> combinant apprentissage en ligne sur une plateforme coach\u00e9e et Masterclass. Vous pouvez choisir entre une <strong>Formation Continue<\/strong>, et un mode <strong>BootCamp intensif<\/strong>.<\/p><p>Nos parcours sont \u00e9ligibles au <strong>Compte Personnel de Formation<\/strong> pour le financement. N&rsquo;attendez plus et d\u00e9couvrez les programmes DataScientest.<\/p><p>Vous savez tout sur SciPy. Pour plus d&rsquo;informations, d\u00e9couvrez notre <strong><a href=\"https:\/\/datascientest.com\/python-tout-savoir\">dossier complet sur Python<\/a><\/strong> et notre dossier complet sur NumPy.<\/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-110ba65 elementor-widget elementor-widget-html\" data-id=\"110ba65\" 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'est-ce que Scipy ?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"Scipy (Scientific Python) est une biblioth\u00e8que open-source d\u00e9di\u00e9e aux calculs de math\u00e9matiques complexes ou de probl\u00e8mes scientifiques. Elle fut cr\u00e9\u00e9e en 2001 par Travis Oliphant, Pearu Peterson et Eric Jones. Une fonction math\u00e9matique native et des biblioth\u00e8ques peuvent \u00eatre utilis\u00e9es en science et en ing\u00e9nierie pour r\u00e9soudre diff\u00e9rents types de probl\u00e8mes. On retrouve aussi des algorithmes pr\u00e9install\u00e9s pour l'optimisation, les \u00e9quations diff\u00e9rentielles, l'int\u00e9gration, l'interpolation, les \u00e9quations alg\u00e9briques, les statistiques et bien d'autres cas d'usage. Le Scipy est l'extension de Nympy (Numerical Python), et permet donc un traitement de donn\u00e9es extr\u00eamement rapide et efficace. Cette biblioth\u00e8que est \u00e9crite en C, C++, Fortran et Python. Les commandes et classes de haut niveau permettent de manipuler et visualiser les donn\u00e9es de fa\u00e7on simple. De plus, Scipy peut s'int\u00e9grer avec de nombreux environnements diff\u00e9rents et regroupe une large collection de sous-packages pour diff\u00e9rents domaines scientifiques.\"\r\n    }\r\n  },{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"Quels sont les avantages de Scipy ?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"Gr\u00e2ce \u00e0 une large vari\u00e9t\u00e9 de sous-packages, Scipy permet de surmonter les principaux obstacles li\u00e9s au Calcul Scientifique. Il s'agit de la biblioth\u00e8que scientifique la plus utilis\u00e9e derri\u00e8re GNU Scientific Library en C\/C++ ou Matlab. Elle est simple \u00e0 comprendre et \u00e0 utiliser, tout en offrant des performances \u00e9lev\u00e9es en puissance de calcul. En outre, elle permet d'op\u00e9rer sur un tableau de biblioth\u00e8que NumPy. Ses routines de bases de donn\u00e9es permettent la programmation parall\u00e8le. Enfin, sa nature open source rend cet outil particuli\u00e8rement int\u00e9ressant.\"\r\n    }\r\n  },{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"Scipy vs Numpy : quelles diff\u00e9rences ?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"Scipy et Numpy sont des biblioth\u00e8ques essentielles, offrant une large gamme de fonctions ou de m\u00e9thodes en Python. Toutefois, plusieurs diff\u00e9rences les distinguent. En termes de fonctions, Scipy offre davantage de d\u00e9tails. Il peut aussi effectuer des op\u00e9rations complexes comme les algorithmes num\u00e9riques et les fonctions alg\u00e9briques. De son c\u00f4t\u00e9, Numpy se focalise davantage sur le tri, l'indexage et l'organisation. La vitesse de calcul est plus rapide avec Numpy, car il est bas\u00e9 sur le langage C. De son c\u00f4t\u00e9, Scipy est \u00e9crit en Python et d\u00e9livre donc moins de vitesse, mais se r\u00e9v\u00e8le plus fonctionnel. En tant que biblioth\u00e8que bas\u00e9e sur les fonctions, Scipy n'exploite pas le concept de tableaux. En revanche, Numpy permet de construire des tableaux multidimensionnels d'objets contenant le m\u00eame type de donn\u00e9es.\"\r\n    }\r\n  },{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"Comment apprendre \u00e0 utiliser Python, Numpy et Scipy ?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"Le langage Python et ses biblioth\u00e8ques sont des outils indispensables du Machine Learning. Pour apprendre \u00e0 les utiliser, vous pouvez choisir DataScientest. La programmation Python est au programme de nos diff\u00e9rentes formations Data Analyst, Data Scientist et Data Management. Vous d\u00e9couvrirez les fondamentaux de Python, et les biblioth\u00e8ques Numpy et Pandas.\"\r\n    }\r\n  }]\r\n}\r\n<\/script>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-f1fd864 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"f1fd864\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-e608cd5\" data-id=\"e608cd5\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-f95183b elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"f95183b\" 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\/formations-data\">\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\">D\u00e9couvrir les formations de DataScientest<\/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<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Le langage Python est tr\u00e8s utilis\u00e9 dans le domaine de la Data Science. Sa popularit\u00e9 est notamment li\u00e9e \u00e0 ses diff\u00e9rentes biblioth\u00e8ques d\u00e9di\u00e9es \u00e0 l&rsquo;analyse de donn\u00e9es, telles que SciPy et Numpy. Qu&rsquo;est-ce que SciPy ? SciPy (Scientific Python) est une biblioth\u00e8que open-source d\u00e9di\u00e9e aux calculs de math\u00e9matiques complexes ou de probl\u00e8mes scientifiques. Elle fut [&hellip;]<\/p>\n","protected":false},"author":77,"featured_media":157574,"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>SciPy : tout savoir sur la biblioth\u00e8que Python de Machine Learning<\/title>\n<meta name=\"description\" content=\"Scipy est une biblioth\u00e8que Python d\u00e9di\u00e9e aux calculs scientifiques. On l&#039;utilise dans une large vari\u00e9t\u00e9 de domaines, dont la Data Science.\" \/>\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\/scipy\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"SciPy : tout savoir sur la biblioth\u00e8que Python de Machine Learning\" \/>\n<meta property=\"og:url\" content=\"https:\/\/datascientest.com\/scipy\" \/>\n<meta property=\"og:site_name\" content=\"Formation Data Science | DataScientest.com\" \/>\n<meta property=\"article:published_time\" content=\"2022-06-08T10:24:06+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-11-09T14:04:02+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/datascientest.com\/wp-content\/uploads\/2022\/04\/scipy-1.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1520\" \/>\n\t<meta property=\"og:image:height\" content=\"600\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\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=\"5 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/datascientest.com\/scipy\",\"url\":\"https:\/\/datascientest.com\/scipy\",\"name\":\"SciPy : tout savoir sur la biblioth\u00e8que Python de Machine Learning\",\"isPartOf\":{\"@id\":\"https:\/\/datascientest.com\/#website\"},\"datePublished\":\"2022-06-08T10:24:06+00:00\",\"dateModified\":\"2023-11-09T14:04:02+00:00\",\"author\":{\"@id\":\"https:\/\/datascientest.com\/#\/schema\/person\/6eca16f63daaafcbc96e15549b9d4ee1\"},\"description\":\"Scipy est une biblioth\u00e8que Python d\u00e9di\u00e9e aux calculs scientifiques. 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