{"id":102875,"date":"2022-01-06T09:37:14","date_gmt":"2022-01-06T07:37:14","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/%d0%b2%d1%8b%d0%bf%d1%83%d1%81%d0%ba-python-%d0%b1%d0%b8%d0%b1%d0%bb%d0%b8%d0%be%d1%82%d0%b5%d0%ba%d0%b8-%d0%b4%d0%bb%d1%8f-%d0%bd%d0%b0%d1%83%d1%87%d0%bd%d1%8b%d1%85-%d0%b2%d1%8b%d1%87%d0%b8%d1%81"},"modified":"2022-01-06T09:37:14","modified_gmt":"2022-01-06T07:37:14","slug":"%d0%b2%d1%8b%d0%bf%d1%83%d1%81%d0%ba-python-%d0%b1%d0%b8%d0%b1%d0%bb%d0%b8%d0%be%d1%82%d0%b5%d0%ba%d0%b8-%d0%b4%d0%bb%d1%8f-%d0%bd%d0%b0%d1%83%d1%87%d0%bd%d1%8b%d1%85-%d0%b2%d1%8b%d1%87%d0%b8%d1%81","status":"publish","type":"post","link":"https:\/\/prohoster.info\/ro\/blog\/news\/%d0%b2%d1%8b%d0%bf%d1%83%d1%81%d0%ba-python-%d0%b1%d0%b8%d0%b1%d0%bb%d0%b8%d0%be%d1%82%d0%b5%d0%ba%d0%b8-%d0%b4%d0%bb%d1%8f-%d0%bd%d0%b0%d1%83%d1%87%d0%bd%d1%8b%d1%85-%d0%b2%d1%8b%d1%87%d0%b8%d1%81","title":{"rendered":"Lansarea bibliotecii Python pentru calculul \u0219tiin\u021bific NumPy 1.22.0","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>A fost lansat\u0103 versiunea bibliotecii Python pentru calcul \u0219tiin\u021bific NumPy 1.22, care este orientat\u0103 spre lucrul cu array-uri multidimensionale \u0219i matrice, oferind \u00een acela\u0219i timp o mare colec\u021bie de func\u021bii cu implement\u0103ri ale diverselor algoritmi lega\u021bi de utilizarea matricelor. NumPy este una dintre cele mai solicitate biblioteci utilizate pentru calcule \u0219tiin\u021bifice. Codul proiectului este scris \u00een Python cu optimiz\u0103ri \u00een C \u0219i este distribuit sub licen\u021ba BSD.      <\/p>\n<p>\u00cen noua versiune:  <\/p>\n<ul>\n<li class=\"l\"> A fost finalizat\u0103 munca de definire a not\u0103rilor pentru spa\u021biul de nume principal.\n<li class=\"l\"> A fost propus\u0103 o variant\u0103 preliminar\u0103 a API-ului Array, conform standardului Python Array API, implementat\u0103 \u00eentr-un spa\u021biu de nume separat. Noua API este destinat s\u0103 preg\u0103teasc\u0103 func\u021bii standard pentru lucrul cu array-uri, care pot fi folosite inclusiv \u00een aplica\u021bii bazate pe alte biblioteci, cum ar fi CuPy \u0219i JAX.\n<li class=\"l\"> A fost implementat backend-ul DLPack, care ofer\u0103 suport pentru formatul omonim pentru schimbul de con\u021binut al array-urilor (tensori) \u00eentre diferite cadre de lucru.\n<li class=\"l\"> A fost ad\u0103ugat un set de metode cu implementarea func\u021biilor legate de conceptele de cuantile \u0219i percentile.\n<li class=\"l\"> A fost ad\u0103ugat un nou manager de memorie configurabil (numpy-allocator).\n<li class=\"l\"> S-a continuat optimizarea func\u021biilor \u0219i platformelor folosind instruc\u021biuni vectoriale SIMD.\n<li class=\"l\"> Suportul pentru Python 3.7 a fost oprit; sunt necesare versiunile Python 3.8-3.10.     <\/ul>\n<p>Sursa: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=56463\">opennet.ro<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u0414\u043e\u0441\u0442\u0443\u043f\u0435\u043d \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 1.22, \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-102875","post","type-post","status-publish","format-standard","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.2.1 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u0414\u043e\u0441\u0442\u0443\u043f\u0435\u043d \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 1.22, \u043e\u0440\u0438\u0435\u043d\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u043e\u0439 \u043d\u0430 \u0440\u0430\u0431\u043e\u0442\u0443 \u0441 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