{"id":54316,"date":"2019-12-23T00:00:00","date_gmt":"2019-12-22T21:00:00","guid":{"rendered":"https:\/\/prohoster.info\/blog\/blog_prohoster\/vypusk-python-biblioteki-dlya-nauchnyh-vychislenij-numpy-1-18"},"modified":"2020-02-18T14:02:19","modified_gmt":"2020-02-18T11:02:19","slug":"vypusk-python-biblioteki-dlya-nauchnyh-vychislenij-numpy-1-18","status":"publish","type":"post","link":"https:\/\/prohoster.info\/lv\/blog\/news\/vypusk-python-biblioteki-dlya-nauchnyh-vychislenij-numpy-1-18","title":{"rendered":"Python bibliot\u0113kas NumPy 1.18 izn\u0101kums","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\/msg08830.html\">Notika<\/a><\/noindex> Python bibliot\u0113kas izdo\u0161ana zin\u0101tniskiem apr\u0113\u0137iniem <noindex><a rel=\"nofollow\" href=\"http:\/\/www.numpy.org\/\">NumPy 1.18<\/a><\/noindex>, kas ir paredz\u0113ta darbam ar daudzdimensiju mas\u012bviem un matricas, k\u0101 ar\u012b sniedz pla\u0161u funkciju kolekciju, kas realiz\u0113 da\u017e\u0101dus algoritmus, kas saist\u012bti ar matricas izmanto\u0161anu. NumPy ir viena no vispiepras\u012bt\u0101kaj\u0101m bibliot\u0113k\u0101m, ko izmanto zin\u0101tniskajiem apr\u0113\u0137iniem. Projekta kods ir uzrakst\u012bts Python valod\u0101, izmantojot optimiz\u0101cijas C valod\u0101 un <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/numpy\/numpy\/\">tiek izplat\u012bts<\/a><\/noindex> saska\u0146\u0101 ar BSD licenci.<\/p>\n<p>NumPy 1.18 izdo\u0161ana <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/numpy\/numpy\/releases\/tag\/v1.18.0\">izce\u013cas<\/a><\/noindex>  C-API defin\u0113\u0161ana un dokument\u0113\u0161ana <noindex><a rel=\"nofollow\" href=\"https:\/\/numpy.org\/devdocs\/reference\/random\/index.html\">numpy.random<\/a><\/noindex> darbo\u0161an\u0101s ar v\u0113lamo izv\u0113li, infrastrukt\u016bras nodro\u0161in\u0101\u0161ana saist\u012b\u0161anai ar 64-bit bibliot\u0113m\u0101m BLAS un LAPACK, dokument\u0101cijas p\u0101rrakst\u012b\u0161ana un atbalsta p\u0101rtrauk\u0161ana da\u017e\u0101m funkcij\u0101m, kas jau sen tika pazi\u0146otas par novecoju\u0161\u0101m. NumPy 1.18 ir p\u0113d\u0113j\u0101 versija, kas atbalsta Python 3.5 (ieteicams p\u0101riet uz Python 3.6, 3.7 un 3.8).<\/p>\n<p><noindex><a rel=\"nofollow\" name=\"link\"><\/a><\/noindex><\/p>\n<p>Avots: <a \ncontent=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=52082\">opennet.lv<\/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 1.18, \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-54316","post","type-post","status-publish","format-standard","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.5 - 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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