{"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\/et\/blog\/news\/vypusk-python-biblioteki-dlya-nauchnyh-vychislenij-numpy-1-17-0","title":{"rendered":"V\u00e4lja Pythoni teaduslike arvutuste raamatukogu 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\">Toimus<\/a><\/noindex> Pythoni teaduslike arvutuste raamatukogu v\u00e4ljaanne <noindex><a rel=\"nofollow\" href=\"http:\/\/www.numpy.org\/\">NumPy 1.17<\/a><\/noindex>, mis on suunatud mitmem\u00f5\u00f5tmeliste massiivide ja maatriksite t\u00f6\u00f6tlemisele ning pakub suurt valikut funktsioone, mis puudutavad maatriksite kasutamisega seotud erinevaid algoritme. NumPy on \u00fcks n\u00f5utumaid raamatukogasid teaduslikeks arvutusteks. Projekti kood on kirjutatud Pythonis, kasutades C keeles optimeerimisi ja <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/numpy\/numpy\/\">levitatakse<\/a><\/noindex> BSD litsentsi all.<\/p>\n<p>NumPy 1.17 v\u00e4ljaanne <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/numpy\/numpy\/blob\/master\/doc\/release\/1.17.0-notes.rst\">on t\u00e4helepanuv\u00e4\u00e4rne<\/a><\/noindex> optimeerimiste toomisega, mis suurendavad oluliselt teatud toimingute j\u00f5udlust, ja Python 2.7 toe l\u00f5petamisega. N\u00fc\u00fcd on vajaliku Python 3.5-3.7 olemasolu. Teiste muudatuste hulgas:<\/p>\n<ul>\n<li class=\"l\">  FFT (Fast Fourier Transforms) mooduli rakendus kiire Fourier' transformatsiooni teostamiseks on kantud fftpack'ilt kiiremale ja t\u00e4psemale <noindex><a rel=\"nofollow\" href=\"https:\/\/gitlab.mpcdf.mpg.de\/mtr\/pocketfft\">pocketfft<\/a><\/noindex>.\n<li class=\"l\"> Sisse on viidud uus laienev moodul<br \/>\nrandom, mis pakub neli pseudojuhusliku arvu generaatorit (MT19937, PCG64, Philox ja SFC64) ning implementib t\u00e4iustatud entropia genereerimise meetodi paralleelselt t\u00f6\u00f6tavates protsessides.  <\/p>\n<li class=\"l\"> On lisatud numbrilise (radix) ja h\u00fcbriidse (<noindex><a rel=\"nofollow\" href=\"https:\/\/ru.wikipedia.org\/wiki\/Timsort\">timsort<\/a><\/noindex>) sortimise algoritmid, mis valitakse automaatselt s\u00f5ltuvalt andmet\u00fc\u00fcbist.\n<li class=\"l\"> Vaikimisi on lubatud NumPy funktsioonide \u00fclekirjutamine.\n<\/ul>\n<p><noindex><a rel=\"nofollow\" name=\"link\"><\/a><\/noindex><\/p>\n<p>Allikas: <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 5.0.1.1 - 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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