{"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\/de\/blog\/news\/vypusk-python-biblioteki-dlya-nauchnyh-vychislenij-numpy-1-17-0","title":{"rendered":"Ver\u00f6ffentlichung der Python-Bibliothek f\u00fcr wissenschaftliche Berechnungen 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\">Hat stattgefunden<\/a><\/noindex> Release der Python-Bibliothek f\u00fcr wissenschaftliche Berechnungen <noindex><a rel=\"nofollow\" href=\"http:\/\/www.numpy.org\/\">NumPy 1.17<\/a><\/noindex>, die auf die Arbeit mit mehrdimensionalen Arrays und Matrizen ausgerichtet ist und eine gro\u00dfe Sammlung von Funktionen zur Implementierung verschiedener mit Matrizen verbundener Algorithmen bereitstellt. NumPy ist eine der gefragtesten Bibliotheken f\u00fcr wissenschaftliche Berechnungen. Der Projektcode ist in Python geschrieben, mit Optimierungen in C und <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/numpy\/numpy\/\">wird verbreitet<\/a><\/noindex> unter der BSD-Lizenz stehen.<\/p>\n<p>Ver\u00f6ffentlichung von NumPy 1.17 <noindex><a rel=\"nofollow\" href=\"https:\/\/github.com\/numpy\/numpy\/blob\/master\/doc\/release\/1.17.0-notes.rst\">bemerkenswert<\/a><\/noindex> mit Optimierungen, die die Leistung bestimmter Operationen erheblich steigern, und der Einstellung der Unterst\u00fctzung f\u00fcr Python 2.7. F\u00fcr die Verwendung wird jetzt Python 3.5-3.7 ben\u00f6tigt. Zu den weiteren \u00c4nderungen geh\u00f6ren:<\/p>\n<ul>\n<li class=\"l\">  Die Implementierung des FFT (Fast Fourier Transforms)-Moduls f\u00fcr die schnelle Fourier-Transformation wurde von fftpack auf das schnellere und genauere <noindex><a rel=\"nofollow\" href=\"https:\/\/gitlab.mpcdf.mpg.de\/mtr\/pocketfft\">pocketfft<\/a><\/noindex>.\n<li class=\"l\"> eingebettet, ein neues erweiterbares Modul<br \/>\nrandom, das vier Generatoren f\u00fcr Pseudo-Zufallszahlen (MT19937, PCG64, Philox und SFC64) zur Auswahl bietet und eine verbesserte Methode zur Generierung von Entropie f\u00fcr den Einsatz in parallel laufenden Prozessen implementiert.  <\/p>\n<li class=\"l\"> Es wurden Algorithmen f\u00fcr die Radix- (radix) und hybride (<noindex><a rel=\"nofollow\" href=\"https:\/\/ru.wikipedia.org\/wiki\/Timsort\">timsort<\/a><\/noindex>) Sortierung hinzugef\u00fcgt, die je nach Datentyp automatisch ausgew\u00e4hlt werden.\n<li class=\"l\"> Die M\u00f6glichkeit, NumPy-Funktionen zu \u00fcberschreiben, ist standardm\u00e4\u00dfig aktiviert.\n<\/ul>\n<p><noindex><a rel=\"nofollow\" name=\"link\"><\/a><\/noindex><\/p>\n<p>Quelle: <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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