{"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":"\u00c8 stata rilasciata la versione 1.5.0 di SciPy, una libreria per calcoli scientifici e ingegneristici","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

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

In SciPy 1.5 \u00e8 stato aggiunto il supporto per nuove sottoprogrammi del pacchetto di algebra lineare a scipy.linalg.lapack 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 stato implementato il supporto per la somma delle distribuzioni di probabilit\u00e0. Miglioramenti apportati 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

Aumentate le dipendenze, ora \u00e8 richiesto 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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