{"id":36622,"date":"2019-10-31T22:12:44","date_gmt":"2019-10-31T19:12:44","guid":{"rendered":"https:\/\/prohoster.info\/blog\/vypusk-python-biblioteki-dlya-nauchnyh-vychislenij-numpy-1-17-0\/"},"modified":"2019-10-31T22:12:44","modified_gmt":"2019-10-31T19:12:44","slug":"vypusk-python-biblioteki-dlya-nauchnyh-vychislenij-numpy-1-17-0","status":"publish","type":"post","link":"https:\/\/prohoster.info\/fr\/blog\/news\/vypusk-python-biblioteki-dlya-nauchnyh-vychislenij-numpy-1-17-0","title":{"rendered":"Sortie de la biblioth\u00e8que Python pour le calcul scientifique NumPy 1.17.0","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p><noindex><a rel=\"nofollow\" href=\"https:\/\/www.mail-archive.com\/python-announce-list@python.org\/msg08700.html\">A eu lieu<\/a><\/noindex> sortie de la biblioth\u00e8que Python pour le calcul scientifique <noindex><a rel=\"nofollow\" href=\"http:\/\/www.numpy.org\/\">NumPy 1.17<\/a><\/noindex>, ax\u00e9e sur le travail avec des tableaux multidimensionnels et des matrices, tout en offrant une vaste collection de fonctions impl\u00e9mentant divers algorithmes li\u00e9s \u00e0 l'utilisation de matrices. NumPy est l'une des biblioth\u00e8ques les plus demand\u00e9es pour le calcul scientifique. Le code du projet est \u00e9crit en Python avec des optimisations en C et <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/numpy\/numpy\/\">est distribu\u00e9<\/a><\/noindex> sous licence BSD.<\/p>\n<p>Sortie de NumPy 1.17 <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/numpy\/numpy\/blob\/master\/doc\/release\/1.17.0-notes.rst\">se distingue<\/a><\/noindex> introduisant des optimisations qui am\u00e9liorent consid\u00e9rablement la performance de certaines op\u00e9rations, et mettant fin au support de Python 2.7. Pour fonctionner, Python 3.5-3.7 est d\u00e9sormais requis. Parmi les autres changements :<\/p>\n<ul>\n<li class=\"l\">  L'impl\u00e9mentation du module FFT (Transform\u00e9es de Fourier rapides) pour effectuer des transformations de Fourier rapides a \u00e9t\u00e9 transf\u00e9r\u00e9e de fftpack \u00e0 un module plus rapide et pr\u00e9cis <noindex><a rel=\"nofollow\" href=\"https:\/\/gitlab.mpcdf.mpg.de\/mtr\/pocketfft\">pocketfft<\/a><\/noindex>.\n<li class=\"l\"> Un nouveau module extensible a \u00e9t\u00e9 inclus<br \/>\nrandom, offrant le choix entre quatre g\u00e9n\u00e9rateurs de nombres pseudo-al\u00e9atoires (MT19937, PCG64, Philox et SFC64) et impl\u00e9mentant une m\u00e9thode am\u00e9lior\u00e9e de g\u00e9n\u00e9ration d'entropie dans les processus s'ex\u00e9cutant en parall\u00e8le.  <\/p>\n<li class=\"l\"> Ajout d'algorithmes de tri par base (radix) et hybride (<noindex><a rel=\"nofollow\" href=\"https:\/\/ru.wikipedia.org\/wiki\/Timsort\">timsort<\/a><\/noindex>) qui sont s\u00e9lectionn\u00e9s automatiquement en fonction du type de donn\u00e9es.\n<li class=\"l\"> Par d\u00e9faut, la possibilit\u00e9 de remplacer les fonctions NumPy est activ\u00e9e.\n<\/ul>\n<p><noindex><a rel=\"nofollow\" name=\"link\"><\/a><\/noindex><\/p>\n<p>Source : <a \ncontent=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=51186\">opennet.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u0421\u043e\u0441\u0442\u043e\u044f\u043b\u0441\u044f \u0440\u0435\u043b\u0438\u0437 Python-\u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438 \u0434\u043b\u044f \u043d\u0430\u0443\u0447\u043d\u044b\u0445 \u0432\u044b\u0447\u0438\u0441\u043b\u0435\u043d\u0438\u0439 NumPy 1.17, \u043e\u0440\u0438\u0435\u043d\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u043e\u0439 \u043d\u0430 \u0440\u0430\u0431\u043e\u0442\u0443 \u0441 \u043c\u043d\u043e\u0433\u043e\u043c\u0435\u0440\u043d\u044b\u043c\u0438 \u043c\u0430\u0441\u0441\u0438\u0432\u0430\u043c\u0438 \u0438 \u043c\u0430\u0442\u0440\u0438\u0446\u0430\u043c\u0438, \u0430 \u0442\u0430\u043a\u0436\u0435 \u043f\u0440\u0435\u0434\u043e\u0441\u0442\u0430\u0432\u043b\u044f\u044e\u0449\u0435\u0439 \u0431\u043e\u043b\u044c\u0448\u0443\u044e \u043a\u043e\u043b\u043b\u0435\u043a\u0446\u0438\u044e \u0444\u0443\u043d\u043a\u0446\u0438\u0439 \u0441 \u0440\u0435\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u0435\u0439 \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0445 \u0430\u043b\u0433\u043e\u0440\u0438\u0442\u043c\u043e\u0432, \u0441\u0432\u044f\u0437\u0430\u043d\u043d\u044b\u0445 \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c \u043c\u0430\u0442\u0440\u0438\u0446. NumPy \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u043e\u0434\u043d\u043e\u0439 \u0438\u0437 \u043d\u0430\u0438\u0431\u043e\u043b\u0435\u0435 \u0432\u043e\u0441\u0442\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u043d\u044b\u0445 \u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a, \u043f\u0440\u0438\u043c\u0435\u043d\u044f\u0435\u043c\u044b\u0445 \u0434\u043b\u044f \u043d\u0430\u0443\u0447\u043d\u044b\u0445 \u0440\u0430\u0441\u0447\u0451\u0442\u043e\u0432. \u041a\u043e\u0434 \u043f\u0440\u043e\u0435\u043a\u0442\u0430 \u043d\u0430\u043f\u0438\u0441\u0430\u043d \u043d\u0430 \u044f\u0437\u044b\u043a\u0435 Python \u0441 \u043f\u0440\u0438\u043c\u0435\u043d\u0435\u043d\u0438\u0435\u043c \u043e\u043f\u0442\u0438\u043c\u0438\u0437\u0430\u0446\u0438\u0439 \u043d\u0430 \u044f\u0437\u044b\u043a\u0435 \u0421\u0438 \u0438 \u0440\u0430\u0441\u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u044f\u0435\u0442\u0441\u044f [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-36622","post","type-post","status-publish","format-standard","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.2 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u0421\u043e\u0441\u0442\u043e\u044f\u043b\u0441\u044f \u0440\u0435\u043b\u0438\u0437 Python-\u0431\u0438\u0431\u043b\u0438\u043e\u0442\u0435\u043a\u0438 \u0434\u043b\u044f \u043d\u0430\u0443\u0447\u043d\u044b\u0445 \u0432\u044b\u0447\u0438\u0441\u043b\u0435\u043d\u0438\u0439\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta name=\"author\" content=\"Yuri Gagarin\"\/>\n\t<link rel=\"canonical\" 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