Tso tawm ntawm SciPy 1.5.0, lub tsev qiv ntawv rau kev tshawb fawb thiab engineering suav

coj qhov chaw tso tawm lub tsev qiv ntawv rau scientific, lej thiab engineering suav SciPy 1.5.0. SciPy muab cov kev sau loj ntawm cov qauv rau kev ua haujlwm xws li ntsuas qhov sib xyaw ua ke, daws qhov sib txawv sib npaug, ua cov duab, txheeb xyuas kev txheeb xyuas, kev cuam tshuam, siv Fourier hloov pauv, nrhiav qhov siab tshaj plaws ntawm kev ua haujlwm, kev ua haujlwm vector, hloov pauv cov cim analog, ua haujlwm nrog sparse matrices, thiab lwm yam. . Qhov project code faib los ntawm nyob rau hauv BSD daim ntawv tso cai thiab siv qhov project qhov kev ua tau zoo ntawm kev siv ntau yam arrays numpy.

Hauv SciPy 1.5, kev txhawb nqa rau cov txheej txheem tshiab algebra pob cov txheej txheem tau ntxiv rau scipy.linalg.lapack txheej LAPACK (Linear Algebra PACKage). Txhim kho kev siv 64-ntsis tus lej hom hauv linear algebra backends. Rau Kolmogorov-Smirnov homogeneity xeem kev txhawb nqa ntxiv ntawm qhov yuav tshwm sim faib tau raug siv. Kev txhim kho tau ua rau scipy.cluster, scipy.fft, scipy.io, scipy.linalg, scipy.optimize, scipy.signal, scipy.sparse, scipy.spatial, scipy.special thiab scipy.stats modules.

Cov kev cai rau kev vam khom tau nce ntxiv; Python 3.6+ thiab NumPy 1.14.5 lossis PyPy3 6.0+ thiab NumPy 1.15.0 tam sim no yuav tsum ua haujlwm.

Tau qhov twg los: opennet.ru