{"id":103205,"date":"2022-02-06T15:36:40","date_gmt":"2022-02-06T13:36:40","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/vypusk-scipy-1-8-0-biblioteki-dlya-nauchnyh-i-inzhenernyh-raschyotov"},"modified":"2022-02-06T15:36:40","modified_gmt":"2022-02-06T13:36:40","slug":"vypusk-scipy-1-8-0-biblioteki-dlya-nauchnyh-i-inzhenernyh-raschyotov","status":"publish","type":"post","link":"https:\/\/prohoster.info\/de\/blog\/news\/vypusk-scipy-1-8-0-biblioteki-dlya-nauchnyh-i-inzhenernyh-raschyotov","title":{"rendered":"Ver\u00f6ffentlichung von SciPy 1.8.0, einer Bibliothek f\u00fcr wissenschaftliche und technische Berechnungen.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Die Ver\u00f6ffentlichung der Bibliothek f\u00fcr wissenschaftliche, mathematische und ingenieurtechnische Berechnungen SciPy 1.8.0 fand statt. SciPy bietet eine umfangreiche Sammlung von Modulen f\u00fcr Aufgaben wie die Berechnung von Integralen, die L\u00f6sung von Differentialgleichungen, die Bildbearbeitung, die statistische Analyse, die Interpolation, die Anwendung von Fourier-Transformationen, die Suche nach Extremstellen von Funktionen, Vektoroperationen, die Verarbeitung von analogen Signalen, die Arbeit mit sp\u00e4rlichen Matrizen usw. Der Code des Projekts wird unter der BSD-Lizenz verbreitet und nutzt die leistungsstarke Implementierung von mehrdimensionalen Arrays aus dem Projekt NumPy. <\/p>\n

In der neuen Version von SciPy wurde eine erste Implementierung der API zur Arbeit mit sp\u00e4rlichen Arrays vorgeschlagen, bei denen die meisten Elemente gleich null sind. Zur Durchf\u00fchrung von Berechnungen mit gro\u00dfen sp\u00e4rlichen Datens\u00e4tzen ist die SVD-Bibliothek PROPACK integriert, deren Funktionen \u00fcber das Submodul \"scipy.sparse.svds\" mit dem Parameter \"solver='PROPACK'\" verf\u00fcgbar sind. Ein neues Submodul \"scipy.stats.sampling\" wurde hinzugef\u00fcgt, das eine Schnittstelle zur C-Bibliothek UNU.RAN bereitstellt, die f\u00fcr die Stichprobenziehung aus beliebigen eindimensionalen heterogenen kontinuierlichen und diskreten Verteilungen konzipiert ist. Alle privaten Namensr\u00e4ume, in deren Namen kein Unterstrich verwendet wird, wurden als veraltet erkl\u00e4rt.
\n
Quelle: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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