{"id":86205,"date":"2020-06-22T13:42:25","date_gmt":"2020-06-22T11:42:25","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/vypusk-scipy-1-5-0-biblioteki-dlya-nauchnyh-i-inzhenernyh-raschyotov"},"modified":"2020-06-22T13:42:25","modified_gmt":"2020-06-22T11:42:25","slug":"vypusk-scipy-1-5-0-biblioteki-dlya-nauchnyh-i-inzhenernyh-raschyotov","status":"publish","type":"post","link":"https:\/\/prohoster.info\/it\/blog\/news\/vypusk-scipy-1-5-0-biblioteki-dlya-nauchnyh-i-inzhenernyh-raschyotov","title":{"rendered":"Versione SciPy 1.5.0, libreria per calcoli scientifici e ingegneristici","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Si \u00e8 tenuto<\/a><\/noindex> rilascio della libreria per calcoli scientifici, matematici e ingegneristici SciPy 1.5.0<\/a><\/noindex>. SciPy fornisce una vasta collezione di moduli per compiti come il calcolo di integrali, la risoluzione di equazioni differenziali, l'elaborazione delle immagini, l'analisi statistica, l'interpolazione, l'applicazione della trasformata di Fourier, la ricerca di estremi delle funzioni, le operazioni vettoriali, la trasformazione di segnali analogici, il lavoro con matrici sparse, ecc. Il codice del progetto \u00e8 distribuito<\/a><\/noindex> \u00e8 sotto licenza BSD e utilizza un'implementazione ad alte prestazioni di array multidimensionali dal progetto NumPy<\/a><\/noindex>.<\/p>\n

In SciPy 1.5 \u00e8 stata aggiunta al layer scipy.linalg.lapack il supporto per nuovi sottoprogrammi del pacchetto di algebra lineare LAPACK<\/a><\/noindex> (Linear Algebra PACKage). Migliorato l'uso di tipi interi a 64 bit nei backend di algebra lineare. Per il criterio di omogeneit\u00e0 di Kolmogorov-Smirnov<\/a><\/noindex> \u00e8 stata implementata la capacit\u00e0 di sommare distribuzioni di probabilit\u00e0. Sono stati apportati miglioramenti ai moduli scipy.cluster, scipy.fft, scipy.io, scipy.linalg, scipy.optimize, scipy.signal, scipy.sparse, scipy.spatial, scipy.special e scipy.stats.<\/p>\n

Aumentati i requisiti di dipendenze; ora \u00e8 necessario Python 3.6+ e NumPy 1.14.5 o PyPy3 6.0+ e NumPy 1.15.0. <\/p>\n

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

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

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