{"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\/da\/blog\/news\/vypusk-python-biblioteki-dlya-nauchnyh-vychislenij-numpy-1-17-0","title":{"rendered":"Udgivelsen af Python-biblioteket til videnskabelige beregninger 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\">Har fundet sted<\/a><\/noindex> Udgivelse af Python-bibliotek til videnskabelige beregninger <noindex><a rel=\"nofollow\" href=\"http:\/\/www.numpy.org\/\">NumPy 1.17<\/a><\/noindex>, der fokuserer p\u00e5 arbejde med multidimensionale arrays og matricer samt tilbyder en stor samling af funktioner til implementering af forskellige algoritmer relateret til brugen af matricer. NumPy er et af de mest efterspurgte biblioteker anvendt til videnskabelige beregninger. Projektkoden er skrevet i Python med optimeringer i C <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/numpy\/numpy\/\">distribueres<\/a><\/noindex> under BSD-licensen.<\/p>\n<p>Udgivelse af NumPy 1.17 <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/numpy\/numpy\/blob\/master\/doc\/release\/1.17.0-notes.rst\">er bem\u00e6rkelsesv\u00e6rdig<\/a><\/noindex> med optimeringer, der v\u00e6sentligt forbedrer ydeevnen af visse operationer, og med oph\u00e6velse af underst\u00f8ttelsen af Python 2.7. For at arbejde er det nu n\u00f8dvendigt at have Python 3.5-3.7. Blandt andre \u00e6ndringer:<\/p>\n<ul>\n<li class=\"l\">  Implementeringen af FFT (Fast Fourier Transforms) modulet til hurtig Fourier-transformation er blevet overf\u00f8rt fra fftpack til en hurtigere og mere pr\u00e6cis <noindex><a rel=\"nofollow\" href=\"https:\/\/gitlab.mpcdf.mpg.de\/mtr\/pocketfft\">pocketfft<\/a><\/noindex>.\n<li class=\"l\"> Der er tilf\u00f8jet et nyt udvidelsesvenligt modul<br \/>\nrandom, der tilbyder fire generatorer af pseudofaldende tal (MT19937, PCG64, Philox og SFC64) og implementerer en forbedret metode til generering af entropi ved parallel udf\u00f8relse.  <\/p>\n<li class=\"l\"> Der er tilf\u00f8jet radix- og hybridalgoritmer (<noindex><a rel=\"nofollow\" href=\"https:\/\/ru.wikipedia.org\/wiki\/Timsort\">timsort<\/a><\/noindex>) til sortering, som automatisk v\u00e6lges afh\u00e6ngig af datatypen.\n<li class=\"l\"> Muligheden for at overskrive NumPy-funktioner er aktiveret som standard.\n<\/ul>\n<p><noindex><a rel=\"nofollow\" name=\"link\"><\/a><\/noindex><\/p>\n<p>Kilde: <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 5.0.3 - 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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