{"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\/sv\/blog\/news\/vypusk-python-biblioteki-dlya-nauchnyh-vychislenij-numpy-1-19","title":{"rendered":"Lansering av Python-biblioteket f\u00f6r vetenskaplig ber\u00e4kning NumPy 1.19","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Tillg\u00e4nglig<\/a><\/noindex> utg\u00e5van av Python-biblioteket f\u00f6r vetenskapliga ber\u00e4kningar NumPy 1.19<\/a><\/noindex>, inriktad p\u00e5 att arbeta med flerdimensionella arrayer och matriser, samt som erbjuder en stor samling funktioner med implementation av olika algoritmer relaterade till matriser. NumPy \u00e4r ett av de mest efterfr\u00e5gade biblioteken som anv\u00e4nds f\u00f6r vetenskapliga ber\u00e4kningar. Projektets kod \u00e4r skriven p\u00e5 Python med optimering i C. sprids<\/a><\/noindex> under BSD-licensen.<\/p>\n

I NumPy 1.19 har st\u00f6det f\u00f6r Python 3.5 upph\u00f6rt och koden f\u00f6r att st\u00f6dja Python 2 har tagits bort (men lagret numpy.compat \u00e4r kvar). De st\u00f6dda versionerna \u00e4r nu Python 3.6, 3.7 och 3.8. Utvecklingen av modulen numpy.random<\/a><\/noindex> f\u00f6r arbete med slumpm\u00e4ssiga samplingar har fortsatt. St\u00f6det f\u00f6r wheel-paket av NumPy p\u00e5 Aarch64-arkitektur har f\u00f6rb\u00e4ttrats och vid anv\u00e4ndning av Python-implementationen PyPy<\/a><\/noindex>. Utvidgad<\/a><\/noindex> funktionaliteten numpy.frompyfunc, np.str_, numpy.copy, numpy.linalg.multi_dot, numpy.count_nonzero och numpy.array_equal. F\u00f6rb\u00e4ttrad identifiering av CPU-funktioner, s\u00e5som st\u00f6d f\u00f6r AVX. En implementering som \u00e4r 5-7 g\u00e5nger snabbare har lagts till np.exp<\/a><\/noindex> baserad p\u00e5 AVX512, anv\u00e4nds f\u00f6r indata av typen np.float64.<\/p>\n

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

K\u00e4lla: opennet.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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