{"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\/novosti-interneta\/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 ingenieurtechnische Berechnungen","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Die Bibliothek f\u00fcr wissenschaftliche, mathematische und ingenieurtechnische Berechnungen SciPy 1.8.0 wurde ver\u00f6ffentlicht. SciPy bietet eine umfangreiche Sammlung von Modulen f\u00fcr Aufgaben wie Integrationsberechnungen, die L\u00f6sung von Differentialgleichungen, Bildverarbeitung, statistische Analysen, Interpolation, die Anwendung von Fourier-Transformationen, die Suche nach Extremwerten von Funktionen, Vektoroperationen, die Umwandlung von analogen Signalen, die Arbeit mit d\u00fcnnbesetzten Matrizen usw. Der Code des Projekts wird unter der BSD-Lizenz ver\u00f6ffentlicht und verwendet eine leistungsstarke Implementierung von mehrdimensionalen Arrays aus dem NumPy-Projekt. <\/p>\n

In der neuen Version von SciPy wurde eine erste Implementierung der API f\u00fcr den Umgang mit sp\u00e4rlichen Arrays vorgestellt, bei denen die meisten Elemente 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 \u201escipy.sparse.svds\u201c zug\u00e4nglich sind, wenn der Parameter \u201esolver='PROPACK'\u201c gesetzt wird. Ein neues Submodul \u201escipy.stats.sampling\u201c wurde hinzugef\u00fcgt, das eine Schnittstelle zur C-Bibliothek UNU.RAN bietet, die f\u00fcr das Sampling von beliebigen eindimensionalen inhomogenen kontinuierlichen und diskreten Verteilungen vorgesehen ist. Alle privaten Namensr\u00e4ume, in deren Namen kein Unterstrich verwendet wird, wurden als obsolet erkl\u00e4rt.
\n
Quelle: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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