{"id":3168,"date":"2024-03-11T16:30:30","date_gmt":"2024-03-11T16:30:30","guid":{"rendered":"https:\/\/datascientest.com\/?p=3168"},"modified":"2024-03-11T16:30:32","modified_gmt":"2024-03-11T16:30:32","slug":"top-10-des-librairies-python-en-data-science","status":"publish","type":"post","link":"https:\/\/datascientest.com\/top-10-des-librairies-python-en-data-science","title":{"rendered":"Top 10 des librairies Python les plus importantes en Data Science"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"3168\" class=\"elementor elementor-3168\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-9520105 e-flex e-con-boxed e-con\" data-id=\"9520105\" 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-5fb00e6 elementor-widget elementor-widget-heading\" data-id=\"5fb00e6\" 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\">La richesse des librairies disponibles sous Python peut  \u00eatre une source d'inqui\u00e9tudes pour un d\u00e9butant.  S\u2019y retrouver au d\u00e9marrage peut relever de mission impossible. Alors, suivons le guide. L\u2019\u00e9quipe DataScientest vous propose un top 10 des librairies Python incontournables en Data Science.<\/h2>\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-3789a66 e-flex e-con-boxed e-con\" data-id=\"3789a66\" 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-d8209f2 elementor-widget elementor-widget-heading\" data-id=\"d8209f2\" 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\">1-Pandas<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-aa4d1eb elementor-widget elementor-widget-image\" data-id=\"aa4d1eb\" 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=\"2560\" height=\"1035\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/Pandas_logo.png\" class=\"attachment-full size-full wp-image-231022\" alt=\"\" loading=\"lazy\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/Pandas_logo.png 2560w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/Pandas_logo-300x121.png 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/Pandas_logo-1024x414.png 1024w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/Pandas_logo-768x311.png 768w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/Pandas_logo-1536x621.png 1536w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/Pandas_logo-2048x828.png 2048w\" sizes=\"(max-width: 2560px) 100vw, 2560px\" \/>\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-67f0329 elementor-widget elementor-widget-text-editor\" data-id=\"67f0329\" 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;\">S\u2019il est une librairie incontournable pour le d\u00e9butant, c\u2019est clairement <a href=\"https:\/\/datascientest.com\/pandas-python-data-science\">Pandas<\/a>. Con\u00e7ue pour l\u2019analyse des donn\u00e9es, <strong>elle s\u2019est impos\u00e9e par sa simplicit\u00e9 d\u2019usage et sa flexibilit\u00e9<\/strong>.<\/span><\/p><p><span style=\"font-weight: 400;\">Pandas est mis \u00e0 profit par des millions d\u2019utilisateurs dans <a href=\"https:\/\/datascientest.com\/quels-sont-les-metiers-de-la-data-les-mieux-payes-en-2023\">les m\u00e9tiers les plus divers li\u00e9s \u00e0 la Data Science<\/a>. Selon <\/span><span style=\"font-weight: 400;\">un sondage r\u00e9alis\u00e9 par Stack Overflow<\/span><span style=\"font-weight: 400;\">, sa popularit\u00e9 a m\u00eame doubl\u00e9 au cours des 4 derni\u00e8res ann\u00e9es. La plupart des entreprises abritant des <strong>analystes de donn\u00e9es<\/strong> se servent de Pandas et parmi elles, Google, Facebook ou JP Morgan.<\/span><\/p><p><span style=\"font-weight: 400;\">Traditionnellement, les op\u00e9rations sur des bases de donn\u00e9es sont effectu\u00e9es au moyen de <a href=\"https:\/\/datascientest.com\/cinq-requetes-sql-a-connaitre\">requ\u00eates SQL<\/a>, une approche qui n\u2019est pas \u00e0 la port\u00e9e de tous. Pandas, pour sa part, aborde <\/span><span style=\"font-weight: 400;\">les informations comme des \u00ab <strong>dataframes<\/strong> \u00bb soit des lignes et des colonnes, \u00e0 la fa\u00e7on des tableaux cr\u00e9\u00e9s avec\u00a0 Excel et propose un grand nombre de fonctions relatives \u00e0 de telles <strong>donn\u00e9es tabulaires<\/strong> :<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">exploration ;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">analyse statistique ;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">nettoyage d\u2019informations incoh\u00e9rentes ;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">etc.<\/span><\/li><\/ul>\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-7bc82d1 e-flex e-con-boxed e-con\" data-id=\"7bc82d1\" 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-781451c elementor-widget elementor-widget-heading\" data-id=\"781451c\" 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\">2-Numpy<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-63e91dc elementor-widget elementor-widget-image\" data-id=\"63e91dc\" 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=\"1280\" height=\"576\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/NumPy_logo.png\" class=\"attachment-full size-full wp-image-231029\" alt=\"\" loading=\"lazy\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/NumPy_logo.png 1280w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/NumPy_logo-300x135.png 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/NumPy_logo-1024x461.png 1024w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/NumPy_logo-768x346.png 768w\" sizes=\"(max-width: 1280px) 100vw, 1280px\" \/>\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-71440a2 elementor-widget elementor-widget-text-editor\" data-id=\"71440a2\" 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;\"><a href=\"https:\/\/datascientest.com\/numpy\">NumPy<\/a> est une <\/span><span style=\"font-weight: 400;\">biblioth\u00e8que <\/span><span style=\"font-weight: 400;\">d\u00e9di\u00e9e au<strong> calcul sur de vastes volumes de donn\u00e9es num\u00e9riques<\/strong>.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Le package NumPy se compose de :<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">la structure de tableau (array) de NumPy ; pouvant avoir n\u2019importe quelle dimension ;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">des op\u00e9rations math\u00e9matiques associ\u00e9es ;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">des fonctions de manipulation des \u00e9l\u00e9ments d\u2019un tableau.<\/span><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-93cd024 elementor-widget elementor-widget-text-editor\" data-id=\"93cd024\" 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;\">NumPy est utilis\u00e9 dans de tr\u00e8s nombreux secteurs :<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">manipulation d\u2019images ;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><a href=\"https:\/\/datascientest.com\/formation-big-data\">big data<\/a> ;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">m\u00e9t\u00e9o ;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">pr\u00e9vision de trafic ;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">climat ;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">imagerie m\u00e9dicale.<\/span><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bda68bd elementor-widget elementor-widget-text-editor\" data-id=\"bda68bd\" 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;\">Par ailleurs, de nombreux sites Web s\u2019appuient sur NumPy pour leur analyse des 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-f2c6c9d elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"f2c6c9d\" 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%20\">\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 savoir des librairies Python<\/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-9e98acd e-flex e-con-boxed e-con\" data-id=\"9e98acd\" 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-b529a84 elementor-widget elementor-widget-heading\" data-id=\"b529a84\" 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\">3-Scikit Learn<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1d57725 elementor-widget elementor-widget-image\" data-id=\"1d57725\" 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=\"929\" height=\"500\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/Scikit_learn_logo.png\" class=\"attachment-full size-full wp-image-231030\" alt=\"\" loading=\"lazy\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/Scikit_learn_logo.png 929w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/Scikit_learn_logo-300x161.png 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/Scikit_learn_logo-768x413.png 768w\" sizes=\"(max-width: 929px) 100vw, 929px\" \/>\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-d0c1c3e elementor-widget elementor-widget-text-editor\" data-id=\"d0c1c3e\" 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;\">Toute personne qui se lance dans la Data Science aura forc\u00e9ment affaire \u00e0 la librairie <a href=\"https:\/\/datascientest.com\/tout-savoir-sur-scikit-learn\">Scikit Learn<\/a>. Cette librairie est consid\u00e9r\u00e9e comme l\u2019outil incontournable du <a href=\"https:\/\/datascientest.com\/machine-learning-tout-savoir\">machine learning<\/a>.<\/span><\/p><p><span style=\"font-weight: 400;\">Pour m\u00e9moire, le machine learning est une branche de l\u2019<a href=\"https:\/\/datascientest.com\/intelligence-artificielle-definition\">IA<\/a> qui am\u00e8ne \u00e0 <strong>programmer une machine afin que celle-ci puisse apprendre par elle-m\u00eame<\/strong>. En la mati\u00e8re, SciKit Learn appara\u00eet comme la solution cl\u00e9 en main : l\u2019essentiel des mod\u00e8les et algorithmes de machine learning y sont disponibles.<\/span><\/p><p><span style=\"font-weight: 400;\">Scikit-Learn aide \u00e0 construire des <strong>mod\u00e8les pr\u00e9dictifs<\/strong> \u00e9labor\u00e9s. Ses usages couvrent des domaines tels que :<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">les v\u00e9hicules autonomes ;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">la reconnaissance vocale ;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">la pr\u00e9diction du comportement des consommateurs ;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">le diagnostic m\u00e9dical ;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">l\u2019identification d\u2019activit\u00e9s suspectes ;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">la pr\u00e9diction de prix ;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">la d\u00e9tection de fraudes ;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">etc.<\/span><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-48a4a32 elementor-widget elementor-widget-text-editor\" data-id=\"48a4a32\" 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;\">Scikit-learn est mis \u00e0 contribution par de tr\u00e8s nombreuses entreprises : Booking.com, Spotify, JP Morgan, BNP Paribas Cardif\u2026<\/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-c7945f7 e-flex e-con-boxed e-con\" data-id=\"c7945f7\" 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-baf08d8 elementor-widget elementor-widget-heading\" data-id=\"baf08d8\" 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\">4-Matplotlib<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-53b6265 elementor-widget elementor-widget-image\" data-id=\"53b6265\" 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=\"1286\" height=\"389\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/maplotlib_logo.png\" class=\"attachment-full size-full wp-image-231035\" alt=\"\" loading=\"lazy\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/maplotlib_logo.png 1286w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/maplotlib_logo-300x91.png 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/maplotlib_logo-1024x310.png 1024w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/maplotlib_logo-768x232.png 768w\" sizes=\"(max-width: 1286px) 100vw, 1286px\" \/>\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-4f15e81 elementor-widget elementor-widget-text-editor\" data-id=\"4f15e81\" 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;\">Nous connaissons l&rsquo;adage comme quoi une image vaudrait mille mots et il <strong>s\u2019applique fort naturellement au domaine de la <\/strong><\/span><span style=\"font-weight: 400;\"><strong>Data Science<\/strong>.<\/span><\/p><p><span style=\"font-weight: 400;\"> L&rsquo;analyse sous forme graphique de millions d&rsquo;informations peut <strong>faire ressortir des points ou tendances inattendus<\/strong>, qu&rsquo;il sera bon d&rsquo;exploiter.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\"><a href=\"https:\/\/datascientest.com\/matplotlib-tout-savoir\">Matplotlib<\/a> est en mesure de repr\u00e9senter des donn\u00e9es sous forme graphique : courbes, histogrammes, <\/span><span style=\"font-weight: 400;\">nuages<\/span><span style=\"font-weight: 400;\"> de points, cartes, etc. Elle aide aussi \u00e0 la g\u00e9n\u00e9ration de rapports.<\/span><\/p><p><span style=\"font-weight: 400;\">Matplotlib est une librairie populaire : <strong>11 millions d\u2019utilisateurs recens\u00e9s en novembre 2022<\/strong> selon <a href=\"https:\/\/datascientest.com\/github-tout-savoir\">GitHub<\/a>. De fait, <\/span><span style=\"font-weight: 400;\">80 % des Data Scientists op\u00e9rant dans l\u2019\u00e9cosyst\u00e8me Python se servent de Matplotlib pour la visualisation graphique des donn\u00e9es.<\/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-1e11dc2 e-flex e-con-boxed e-con\" data-id=\"1e11dc2\" 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-4e43eea elementor-widget elementor-widget-heading\" data-id=\"4e43eea\" 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\">5-Seaborn<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5a0c078 elementor-widget elementor-widget-image\" data-id=\"5a0c078\" 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=\"745\" height=\"213\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/seaborn_logo.png\" class=\"attachment-full size-full wp-image-231036\" alt=\"\" loading=\"lazy\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/seaborn_logo.png 745w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/seaborn_logo-300x86.png 300w\" sizes=\"(max-width: 745px) 100vw, 745px\" \/>\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-cbbcf2e elementor-widget elementor-widget-text-editor\" data-id=\"cbbcf2e\" 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;\">Si Matplotlib domine le secteur de la <a href=\"https:\/\/datascientest.com\/comparatif-bibliotheques-pyton-dataviz\">repr\u00e9sentation graphique sous Python<\/a>, depuis 2020 environ, une alternative a pris son essor : <a href=\"https:\/\/datascientest.com\/seaborn-tout-savoir\">Seaborn<\/a>.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Il se trouve que l\u2019usage de Matplotlib n&rsquo;est pas forc\u00e9ment simple. Et si l\u2019on s\u2019en tient aux valeurs par d\u00e9faut, un grand nombre de repr\u00e9sentations de Matplotlb laissent \u00e0 d\u00e9sirer sur le plan esth\u00e9tique.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Or, <strong>Seaborn est en mesure de r\u00e9aliser en une ligne de code ce qui en n\u00e9cessiterait une dizaine sous Matplotlib !<\/strong> Et oui\u2026 <\/span><span style=\"font-weight: 400;\">\u00c0 partir de quelques instructions concises, Seaborn est en mesure de produire des graphiques informatifs, utiles et \u00e9l\u00e9gants. Il suscite donc un r\u00e9el engouement.<\/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-50ff062 e-flex e-con-boxed e-con\" data-id=\"50ff062\" 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-a27e6f8 elementor-widget elementor-widget-heading\" data-id=\"a27e6f8\" 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\">6-Keras<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a4a1598 elementor-widget elementor-widget-image\" data-id=\"a4a1598\" 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=\"1200\" height=\"348\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/logo-keras.png\" class=\"attachment-full size-full wp-image-231037\" alt=\"\" loading=\"lazy\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/logo-keras.png 1200w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/logo-keras-300x87.png 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/logo-keras-1024x297.png 1024w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/logo-keras-768x223.png 768w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/>\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-8259e15 elementor-widget elementor-widget-text-editor\" data-id=\"8259e15\" 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;\">Le <a href=\"https:\/\/datascientest.com\/deep-learning-avec-python-decouvrez-les-fondamentaux\">deep learning<\/a> est une branche du machine learning, qui se concentre sur la r\u00e9solution de probl\u00e8mes, en <strong>\u00e9mulant l\u2019activit\u00e9 de l\u2019intellect humain<\/strong>. Avant <a href=\"https:\/\/datascientest.com\/keras\">Keras<\/a>, tout ce qui avait trait au deep learning \u00e9tait difficile \u00e0 utiliser. Cette librairie a donc \u00e9t\u00e9 con\u00e7ue de fa\u00e7on \u00e0 faciliter la mise en place du deep learning.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Keras a \u00e9t\u00e9 adopt\u00e9 par 2,5 millions de d\u00e9veloppeurs. Elle est couramment employ\u00e9e pour <strong>r\u00e9soudre des questions complexes de deep learning<\/strong> telles que le pilotage du v\u00e9hicule autonome Waymo, con\u00e7u par Google. Parmi les grands usagers de Keras figurent aussi Youtube, Netflix, Uber, Expedia, etc.<\/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-45e16bb elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"45e16bb\" 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\">Apprendre \u00e0 utiliser les librairies Python<\/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-d740fc0 e-flex e-con-boxed e-con\" data-id=\"d740fc0\" 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-08dcd47 elementor-widget elementor-widget-heading\" data-id=\"08dcd47\" 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\">7-Beautiful Soup<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5a63c26 elementor-widget elementor-widget-image\" data-id=\"5a63c26\" 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=\"770\" height=\"331\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/beautifulsoup_logo.png\" class=\"attachment-full size-full wp-image-231038\" alt=\"\" loading=\"lazy\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/beautifulsoup_logo.png 770w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/beautifulsoup_logo-300x129.png 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/beautifulsoup_logo-768x330.png 768w\" sizes=\"(max-width: 770px) 100vw, 770px\" \/>\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-f5f5417 elementor-widget elementor-widget-text-editor\" data-id=\"f5f5417\" 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;\">Le <a href=\"https:\/\/datascientest.com\/web-scraping-tout-savoir\">Web Scraping<\/a> d\u00e9signe les technologies visant \u00e0 :<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">extraire du contenu venant du Web ;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">op\u00e9rer leur conversion dans des formats exploitables par des applications d\u2019analyse telles que Excel, Google Sheets\u2026<\/span><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1303478 elementor-widget elementor-widget-text-editor\" data-id=\"1303478\" 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;\"><a href=\"https:\/\/datascientest.com\/decouvrir-le-web-scraping-avec-beautiful-soup\">Beautiful Soup<\/a> <strong>est en mesure de renvoyer de telles informations organis\u00e9es sous une forme facilitant leur analyse<\/strong>.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Beautiful Soup est mis \u00e0 profit dans de nombreuses activit\u00e9s :<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">tendances ;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">analyse de la concurrence ;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\"><a href=\"https:\/\/datascientest.com\/nlp-twitter-analyse-de-sentiment\">analyse de sentiment<\/a> ;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">\u00e9volution d\u2019un march\u00e9 ;\u00a0<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">estimation de rendement d\u2019un bien ;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">surveillance des prix ;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">etc.<\/span><\/li><\/ul>\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-6c67f2d e-flex e-con-boxed e-con\" data-id=\"6c67f2d\" 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-c9c6d59 elementor-widget elementor-widget-heading\" data-id=\"c9c6d59\" 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\">8-Statsmodel<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3fca86c elementor-widget elementor-widget-image\" data-id=\"3fca86c\" 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=\"1226\" height=\"200\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/statsmodels-logo.png\" class=\"attachment-full size-full wp-image-231039\" alt=\"\" loading=\"lazy\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/statsmodels-logo.png 1226w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/statsmodels-logo-300x49.png 300w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/statsmodels-logo-1024x167.png 1024w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/statsmodels-logo-768x125.png 768w\" sizes=\"(max-width: 1226px) 100vw, 1226px\" \/>\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-679cbfc elementor-widget elementor-widget-text-editor\" data-id=\"679cbfc\" 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><a href=\"https:\/\/datascientest.com\/statsmodels\"><span style=\"font-weight: 400;\">Statsmodels<\/span><\/a><span style=\"font-weight: 400;\"> fournit des classes et des fonctions pour :<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">l\u2019estimation de mod\u00e8les statistiques ;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">la r\u00e9alisation de tests statistiques ;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">l\u2019exploration de donn\u00e9es statistiques. <\/span><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e2059c2 elementor-widget elementor-widget-text-editor\" data-id=\"e2059c2\" 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 faire simple, cette librairie aide le <a href=\"https:\/\/datascientest.com\/salaire-data-scientist\">Data Scientist<\/a> \u00e0 <strong>mieux comprendre les informations dont il dispose en vue de cr\u00e9er des mod\u00e8les pr\u00e9dictifs, \u00e9valuer des tendances et faciliter la prise de d\u00e9cisions<\/strong>. Quelques exemples :<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">trouver des relations entre divers \u00e9l\u00e9ments ;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">\u00e9tudier comment des valeurs \u00e9voluent avec le temps ;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">pr\u00e9dire des r\u00e9sultats ;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">estimer le temps n\u00e9cessaire pour qu&rsquo;un \u00e9v\u00e9nement se produise ;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">etc.<\/span><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-77cebcf elementor-widget elementor-widget-text-editor\" data-id=\"77cebcf\" 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;\">Les grands utilisateurs de la biblioth\u00e8que Statsmodels sont des professionnels op\u00e9rant dans des domaines n\u00e9cessitant une analyse statistique approfondie et rigoureuse.<\/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-3a5e7b4 e-flex e-con-boxed e-con\" data-id=\"3a5e7b4\" 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-9040eaf elementor-widget elementor-widget-heading\" data-id=\"9040eaf\" 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\">9-NetworkX<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-67dd1d4 elementor-widget elementor-widget-image\" data-id=\"67dd1d4\" 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=\"453\" height=\"101\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/networkx_logo.png\" class=\"attachment-full size-full wp-image-231040\" alt=\"\" loading=\"lazy\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/networkx_logo.png 453w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/networkx_logo-300x67.png 300w\" sizes=\"(max-width: 453px) 100vw, 453px\" \/>\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-40d2c6f elementor-widget elementor-widget-text-editor\" data-id=\"40d2c6f\" 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;\"><a href=\"https:\/\/datascientest.com\/networkx-tout-savoir\">NetworkX<\/a> sert \u00e0 cr\u00e9er, manipuler et \u00e9tudier des r\u00e9seaux ou des graphes. Elle inclut de nombreuses fonctions permettant la <strong>g\u00e9n\u00e9ration de graphes<\/strong> et de <strong>multiples fonctionnalit\u00e9s pour lire et \u00e9crire des graphes en divers formats<\/strong>.<\/span><\/p><p><span style=\"font-weight: 400;\">NetworkX est notamment utilis\u00e9 :<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">dans le transport et la logistique pour optimiser des itin\u00e9raires ;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">en biologie pour \u00e9tudier les interactions entre les esp\u00e8ces d\u2019un \u00e9cosyst\u00e8me ;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">dans les r\u00e9seaux sociaux (par exemple pour rep\u00e9rer des personnes influentes) ;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">en informatique pour le routage des r\u00e9seaux ;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">etc.<\/span><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d4513bf elementor-widget elementor-widget-text-editor\" data-id=\"d4513bf\" 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;\">En Data science, NetworkX sert \u00e0 l\u2019analyse de r\u00e9seaux complexes, comme les syst\u00e8mes de recommandation, et plus globalement, <strong>aide \u00e0 comprendre, mod\u00e9liser ou optimiser des syst\u00e8mes en r\u00e9seau<\/strong>.<\/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-50e07a9 e-flex e-con-boxed e-con\" data-id=\"50e07a9\" 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-0211476 elementor-widget elementor-widget-heading\" data-id=\"0211476\" 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\">10-NLTK (Text-mining)<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e3cc95e elementor-widget elementor-widget-image\" data-id=\"e3cc95e\" 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=\"396\" height=\"157\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/nltk_logo.png\" class=\"attachment-full size-full wp-image-231041\" alt=\"\" loading=\"lazy\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/nltk_logo.png 396w, https:\/\/datascientest.com\/wp-content\/uploads\/2024\/02\/nltk_logo-300x119.png 300w\" sizes=\"(max-width: 396px) 100vw, 396px\" \/>\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-fbd83d0 elementor-widget elementor-widget-text-editor\" data-id=\"fbd83d0\" 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;\"><a href=\"https:\/\/datascientest.com\/nltk\">NLTK<\/a> ou <strong>Natural Language Toolkit<\/strong>, est une biblioth\u00e8que\u00a0 destin\u00e9e \u00e0 travailler avec le langage humain, ou \u00ab\u00a0langage naturel\u00a0\u00bb. Elle contient des outils pour d\u00e9couper des phrases en mots, identifier le r\u00f4le de chaque mot dans une phrase, etc.<\/span><\/p><p><span style=\"font-weight: 400;\">NLTK est utilis\u00e9 partout o\u00f9 existe un besoin de comprendre, analyser ou g\u00e9n\u00e9rer du texte et notamment dans :<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">la reconnaissance de la parole ;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">l\u2019analyse et la classification de texte ;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">l\u2019analyse de l\u2019opinion des consommateurs ;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">la traduction automatique ;<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">les chatbots ou robots de discussion.<\/span><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c34e87b elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"c34e87b\" 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 les librairies Python<\/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-45d989a elementor-widget elementor-widget-html\" data-id=\"45d989a\" 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 Pandas ?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"Pandas est mis \u00e0 profit par des millions d\u2019utilisateurs dans les  m\u00e9tiers les plus divers li\u00e9s \u00e0 la Data Science. Selon un sondage r\u00e9alis\u00e9 par Stack Overflow, sa popularit\u00e9 a m\u00eame doubl\u00e9 au cours des 4 derni\u00e8res ann\u00e9es. La plupart des entreprises abritant des analystes de donn\u00e9es se servent de Pandas et parmi elles, Google, Facebook ou JP Morgan.\"\r\n    }\r\n  },{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"Qu'est-ce que Scikit Learn ?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"Toute personne qui se lance dans la Data Science aura forc\u00e9ment affaire \u00e0 la librairie Scikit Learn. Cette librairie est consid\u00e9r\u00e9e comme l\u2019outil incontournable du machine learning. SciKit-Learn appara\u00eet comme la solution cl\u00e9 en main : l\u2019essentiel des mod\u00e8les et algorithmes de machine learning y sont disponibles.\"\r\n    }\r\n  },{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"Qu'est-ce que Matplotlib ?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"Matplotlib est en mesure de repr\u00e9senter des donn\u00e9es sous forme graphique : courbes, histogrammes, nuages de points, cartes... Elle aide aussi \u00e0 la g\u00e9n\u00e9ration de rapports.\"\r\n    }\r\n  },{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"Qu'est-ce que Seaborn ?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"Seaborn est en mesure de r\u00e9aliser en une ligne de code ce qui en n\u00e9cessiterait une dizaine sous Matplotlib ! Et oui\u2026 \u00c0 partir de quelques instructions concises, Seaborn est en mesure de produire des graphiques informatifs, utiles et \u00e9l\u00e9gants. Il suscite donc un r\u00e9el engouement.\"\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>La richesse des librairies disponibles sous Python peut \u00eatre une source d&rsquo;inqui\u00e9tudes pour un d\u00e9butant. S\u2019y retrouver au d\u00e9marrage peut relever de mission impossible. Alors, suivons le guide. L\u2019\u00e9quipe DataScientest vous propose un top 10 des librairies Python incontournables en Data Science. 1-Pandas S\u2019il est une librairie incontournable pour le d\u00e9butant, c\u2019est clairement Pandas. Con\u00e7ue [&hellip;]<\/p>\n","protected":false},"author":78,"featured_media":0,"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>Top 10 des librairies Python les plus importantes en Data Science<\/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\/top-10-des-librairies-python-en-data-science\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Top 10 des librairies Python les plus importantes en Data Science\" \/>\n<meta property=\"og:url\" content=\"https:\/\/datascientest.com\/top-10-des-librairies-python-en-data-science\" \/>\n<meta property=\"og:site_name\" content=\"Formation Data Science | DataScientest.com\" \/>\n<meta property=\"article:published_time\" content=\"2024-03-11T16:30:30+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-03-11T16:30:32+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/04\/DALL\u00b7E-2024-01-19-12.37.33-A-semi-cartoonish-python-snake-in-a-library-balancing-between-realistic-and-cartoon-styles.-The-python-with-a-gentle-and-friendly-appearance-is-coi-1024x585.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1024\" \/>\n\t<meta property=\"og:image:height\" content=\"585\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\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=\"8 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/datascientest.com\/top-10-des-librairies-python-en-data-science\",\"url\":\"https:\/\/datascientest.com\/top-10-des-librairies-python-en-data-science\",\"name\":\"Top 10 des librairies Python les plus importantes en Data Science\",\"isPartOf\":{\"@id\":\"https:\/\/datascientest.com\/#website\"},\"datePublished\":\"2024-03-11T16:30:30+00:00\",\"dateModified\":\"2024-03-11T16:30:32+00:00\",\"author\":{\"@id\":\"https:\/\/datascientest.com\/#\/schema\/person\/7af2361c48e24e79a8aa2360e6e74925\"},\"inLanguage\":\"fr-FR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/datascientest.com\/top-10-des-librairies-python-en-data-science\"]}]},{\"@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. 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