{"id":105,"date":"2016-08-03T17:25:37","date_gmt":"2016-08-03T17:25:37","guid":{"rendered":"https:\/\/www.ephiquant.com\/?page_id=105"},"modified":"2016-09-21T18:19:10","modified_gmt":"2016-09-21T18:19:10","slug":"python","status":"publish","type":"page","link":"https:\/\/www.ephiquant.com\/?page_id=105","title":{"rendered":"Python"},"content":{"rendered":"<p style=\"text-align: justify;\">Langage de programmation intuitive, orient\u00e9e objet, qui gr\u00e2ce \u00e0 la diversit\u00e9 de ses librairies (numpy, pandas, matplotlib, scikit-learn\u2026), est un outil privil\u00e9gi\u00e9 par les <strong>data scientistes<\/strong>. Au m\u00eame titre que R et outre son utilisation \u00e0 des fins de d\u00e9veloppement, Python est aussi utilis\u00e9 pour l\u2019analyse de donn\u00e9es et la\u00a0finance quantitative\u2026<\/p>\n<p style=\"text-align: justify;\">Aussi, Nous vous proposons les\u00a0formations suivantes\u00a0:<\/p>\n<p style=\"text-align: justify;\"><style type=\"text\/css\" scoped=\"scoped\">.panel-6a0e54e9bf6b9 h3.panel-title{color:#ffffff;}.panel-6a0e54e9bf6b9{border-color:#247df2;}.panel-6a0e54e9bf6b9 .panel-heading{background-color:#247df2;over-flow:hidden;}.panel-6a0e54e9bf6b9{border-radius:0px;} <\/style><div class=\"panel magee-panel  panel-6a0e54e9bf6b9\" id=\"\">\r\n                                        <div class=\"panel-heading\">\r\n                                            <h3 class=\"panel-title\">Python, Les essentiels<\/h3>\r\n                                        <\/div>\r\n                                        <div class=\"panel-body\">\r\n                                            \n<p style=\"text-align: justify;\"><strong>&#8211; Introduction au langage Python : Historique &amp; Installation de l&#8217;environnement de developpement<\/strong><\/p>\n<p style=\"text-align: justify;\"><strong>&#8211; La syntaxe de base Python : Variables\u00a0et type de donn\u00e9es de bases &#8230;<\/strong><\/p>\n<p style=\"text-align: justify;\"><strong>&#8211; \u00a0Les structures de donn\u00e9es : Lists, Tuples, Dictionaries et Sets<\/strong><\/p>\n<p style=\"text-align: justify;\"><strong>&#8211; Les structures de programmation : Les conditions et les boucles<\/strong><\/p>\n<p style=\"text-align: justify;\"><strong>&#8211; Les fonctions et modules<\/strong><\/p>\n<p style=\"text-align: justify;\"><strong>&#8211; Les it\u00e9rations et g\u00e9n\u00e9rateurs<\/strong><\/p>\n<p style=\"text-align: justify;\"><strong>&#8211; Manipulation des fichiers et gestion des exceptions<\/strong><\/p>\n<p style=\"text-align: justify;\"><strong>&#8211; Programmation Orient\u00e9e Objet : Objets\u00a0et Classes<\/strong><\/p>\n<p style=\"text-align: justify;\">\r\n                                        <\/div>\r\n                                    <\/div>\n<p style=\"text-align: justify;\"><style type=\"text\/css\" scoped=\"scoped\">.panel-6a0e54e9bf6fa h3.panel-title{color:#ffffff;}.panel-6a0e54e9bf6fa{border-color:#e0d026;}.panel-6a0e54e9bf6fa .panel-heading{background-color:#e0d026;over-flow:hidden;}.panel-6a0e54e9bf6fa{border-radius:0px;} <\/style><div class=\"panel magee-panel  panel-6a0e54e9bf6fa\" id=\"\">\r\n                                        <div class=\"panel-heading\">\r\n                                            <h3 class=\"panel-title\">Outils Python pour la Data Science :  Analyse des donn\u00e9es <\/h3>\r\n                                        <\/div>\r\n                                        <div class=\"panel-body\">\r\n                                            \n<p style=\"text-align: justify;\"><strong>&#8211; Analyse\u00a0num\u00e9rique\u00a0des donn\u00e9es avec <span style=\"color: #0000ff;\">Numpy\u00a0<\/span><\/strong><\/p>\n<p style=\"text-align: justify;\"><strong>&#8211; Visualisation graphique avec <span style=\"color: #0000ff;\">Matplotlib<\/span><\/strong> et\u00a0<strong><span style=\"color: #0000ff;\">Seaborn<\/span><\/strong><\/p>\n<p style=\"text-align: justify;\"><strong>&#8211; Exploration et manipulation\u00a0des donn\u00e9es avec\u00a0la librairie\u00a0<span style=\"color: #0000ff;\">Pandas<\/span><\/strong><\/p>\n<ul>\n<li style=\"text-align: justify;\">Cr\u00e9ation et manipulation des objets\u00a0Series et DataFrame<\/li>\n<li style=\"text-align: justify;\">Acquisition des donn\u00e9es&#8230; etc<\/li>\n<\/ul>\n<p style=\"text-align: justify;\">&#8211; <strong>Analyse des donn\u00e9es (\u00a0<span style=\"color: #0000ff;\">SciPy et\u00a0Statsmodels&#8230;<\/span>)<\/strong><\/p>\n<ul>\n<li style=\"text-align: justify;\">Statistique de base<\/li>\n<li style=\"text-align: justify;\">Probabilit\u00e9<\/li>\n<li style=\"text-align: justify;\">Tests d&#8217;hypoth\u00e8ses<\/li>\n<li style=\"text-align: justify;\">Mod\u00e9lisation\u00a0des donn\u00e9es<\/li>\n<\/ul>\n<p style=\"text-align: justify;\">\r\n                                        <\/div>\r\n                                    <\/div>\n<p style=\"text-align: justify;\"><style type=\"text\/css\" scoped=\"scoped\">.panel-6a0e54e9bf71e h3.panel-title{color:#ffffff;}.panel-6a0e54e9bf71e{border-color:#e0d026;}.panel-6a0e54e9bf71e .panel-heading{background-color:#e0d026;over-flow:hidden;}.panel-6a0e54e9bf71e{border-radius:0px;} <\/style><div class=\"panel magee-panel  panel-6a0e54e9bf71e\" id=\"\">\r\n                                        <div class=\"panel-heading\">\r\n                                            <h3 class=\"panel-title\">Outils Python pour la Data Science : Les techniques de Machine Learning <\/h3>\r\n                                        <\/div>\r\n                                        <div class=\"panel-body\">\r\n                                            \n<p style=\"text-align: justify;\"><strong>&#8211; Introduction \u00e0 l&#8217;apprentissage machine<\/strong><\/p>\n<p style=\"text-align: justify;\"><strong>&#8211; Th\u00e9orie et M\u00e9thode analytiques\u00a0avanc\u00e9es : <span style=\"color: #800000;\">Clustering<\/span><\/strong><\/p>\n<p style=\"text-align: justify;\"><strong>&#8211; Th\u00e9orie et M\u00e9thode analytiques\u00a0avanc\u00e9es : <span style=\"color: #800000;\">Regression<\/span><\/strong><\/p>\n<p style=\"text-align: justify;\"><strong>&#8211; Th\u00e9orie et M\u00e9thode analytiques\u00a0avanc\u00e9es : <span style=\"color: #800000;\">Classification<\/span><\/strong><\/p>\n<p style=\"text-align: justify;\">\r\n                                        <\/div>\r\n                                    <\/div>\n<p style=\"text-align: justify;\"><style type=\"text\/css\" scoped=\"scoped\">.panel-6a0e54e9bf73d h3.panel-title{color:#ffffff;}.panel-6a0e54e9bf73d{border-color:#9b2d17;}.panel-6a0e54e9bf73d .panel-heading{background-color:#9b2d17;over-flow:hidden;}.panel-6a0e54e9bf73d{border-radius:0px;} <\/style><div class=\"panel magee-panel  panel-6a0e54e9bf73d\" id=\"\">\r\n                                        <div class=\"panel-heading\">\r\n                                            <h3 class=\"panel-title\">Finance Quantitative avec Python<\/h3>\r\n                                        <\/div>\r\n                                        <div class=\"panel-body\">\r\n                                            \n<p><strong>&#8211; Analyse des Financial Times Series<\/strong><\/p>\n<ul>\n<li>Variables al\u00e9atoires et les fonctions de distributions usuelles<\/li>\n<li>Model lin\u00e9aire des rendements de titre ( CAPM &amp; APT)<\/li>\n<li>Analyse des s\u00e9ries temporelles : ARIMA framework<\/li>\n<\/ul>\n<p><strong>&#8211; Design et optimisation de Portefeuille : Markovitz portfolio theory frameWork in detail<\/strong><\/p>\n<ul>\n<li>Revue th\u00e9orique<\/li>\n<li>Cas pratique<\/li>\n<\/ul>\n<p><strong>&#8211; Model\u00e9s de gestion de portefeuille avanc\u00e9s :<\/strong><\/p>\n<ul>\n<li>VaR portfolio,<\/li>\n<li>Black-litterman portfolio&#8230;<\/li>\n<\/ul>\n<p><strong>&#8211;\u00a0Pricing et Analyse des produits d\u00e9riv\u00e9s :<\/strong><\/p>\n<ul>\n<li>Mod\u00e8le Bi\/Trinomiale,<\/li>\n<li>Introduction au processus stochastique- Model Black &amp; Scholes,<\/li>\n<li>Pricing par la Simulation de Monte Carlo&#8230;<\/li>\n<li>Analyse de sensibilit\u00e9 : les Greeks<\/li>\n<li>Volatilit\u00e9 implicite<\/li>\n<li>Mod\u00e8les pour le\u00a0taux d\u2019Int\u00e9r\u00eats<\/li>\n<\/ul>\n<p style=\"text-align: justify;\">\u00a0\r\n                                        <\/div>\r\n                                    <\/div>\n<div class=\"d_reactions\" data-post-id=\"105\" data-post-url=\"https:\/\/www.ephiquant.com\/?page_id=105\" data-post-title=\"Python\" data-post-img=\"\"><\/div> <!-- Check out https:\/\/reactandshare.com -->","protected":false},"excerpt":{"rendered":"<p>Langage de programmation intuitive, orient\u00e9e objet, qui gr\u00e2ce \u00e0 la diversit\u00e9 de ses librairies (numpy, pandas, matplotlib, scikit-learn\u2026), est un outil privil\u00e9gi\u00e9 par les data scientistes. Au m\u00eame titre que R et outre son utilisation \u00e0 des fins de d\u00e9veloppement, [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-105","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.ephiquant.com\/index.php?rest_route=\/wp\/v2\/pages\/105","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ephiquant.com\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.ephiquant.com\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.ephiquant.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ephiquant.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=105"}],"version-history":[{"count":16,"href":"https:\/\/www.ephiquant.com\/index.php?rest_route=\/wp\/v2\/pages\/105\/revisions"}],"predecessor-version":[{"id":136,"href":"https:\/\/www.ephiquant.com\/index.php?rest_route=\/wp\/v2\/pages\/105\/revisions\/136"}],"wp:attachment":[{"href":"https:\/\/www.ephiquant.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=105"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}