{"id":86096,"date":"2020-06-21T13:42:25","date_gmt":"2020-06-21T11:42:25","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/vypusk-python-biblioteki-dlya-nauchnyh-vychislenij-numpy-1-19"},"modified":"2020-06-21T13:42:25","modified_gmt":"2020-06-21T11:42:25","slug":"vypusk-python-biblioteki-dlya-nauchnyh-vychislenij-numpy-1-19","status":"publish","type":"post","link":"https:\/\/prohoster.info\/da\/blog\/news\/vypusk-python-biblioteki-dlya-nauchnyh-vychislenij-numpy-1-19","title":{"rendered":"Udgivelse af Python-biblioteket til videnskabelige beregninger NumPy 1.19","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Tilg\u00e6ngelig<\/a><\/noindex> Udgivelse af Python-bibliotek til videnskabelige beregninger NumPy 1.19<\/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 distribueres<\/a><\/noindex> under BSD-licensen.<\/p>\n

. I NumPy 1.19 er supporten for Python 3.5 blevet oph\u00f8rt, og koden til at underst\u00f8tte Python 2 er fjernet (numpy.compat-laget er dog stadig tilbage). De underst\u00f8ttede versioner inkluderer Python 3.6, 3.7 og 3.8. Udviklingen af modulen numpy.random<\/a><\/noindex> til arbejde med tilf\u00e6ldige pr\u00f8ver er fortsat. Underst\u00f8ttelsen af wheel-pakker til NumPy p\u00e5 Aarch64-arkitektur er forbedret, s\u00e5vel som ved brug af Python-implementeringen PyPy<\/a><\/noindex>. Udvidet<\/a><\/noindex> funktionaliteten i numpy.frompyfunc, np.str_, numpy.copy, numpy.linalg.multi_dot, numpy.count_nonzero og numpy.array_equal. Forbedret identifikation af CPU-funktionaliteter, s\u00e5som underst\u00f8ttelse af AVX. En fungerende implementering, der er 5-7 gange hurtigere, er blevet tilf\u00f8jet np.exp<\/a><\/noindex> baseret p\u00e5 AVX512, der anvendes til inputdata af typen np.float64.<\/p>\n

<\/a><\/noindex><\/p>\n

Kilde: opennet.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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