tso tawm Python tsev qiv ntawv rau scientific xam , tsom mus rau kev ua hauj lwm nrog ntau qhov sib txawv arrays thiab matrices, thiab tseem muab kev sau loj ntawm kev ua haujlwm nrog kev siv ntau yam algorithms ntsig txog kev siv matrices. NumPy yog ib lub tsev qiv ntawv nrov tshaj plaws siv rau kev suav lej. Txoj haujlwm code yog sau hauv Python siv optimizations hauv C thiab raws li BSD daim ntawv tso cai.
NumPy 1.19 tso tseg kev txhawb nqa rau Python 3.5 thiab tshem tawm Python 2 cov lej txhawb nqa (txheej numpy.compat tseem muaj). Cov qauv txhawb nqa suav nrog Python 3.6, 3.7, thiab 3.8. Kev txhim kho ntawm lub module txuas ntxiv mus. rau kev ua haujlwm nrog cov qauv random. Kev txhawb nqa zoo dua rau cov pob khoom NumPy log ntawm Aarch64 architecture thiab thaum siv Python kev siv. . Cov kev ua haujlwm ntawm numpy.frompyfunc, np.str_, numpy.copy, numpy.linalg.multi_dot, numpy.count_nonzero, thiab numpy.array_equal tau raug txhim kho. Kev nrhiav tau cov peev xwm ntawm CPU zoo dua, xws li kev txhawb nqa AVX. Kev siv sai dua 5-7 npaug tau raug ntxiv. Raws li AVX512, siv rau cov ntaub ntawv nkag ntawm hom np.float64.
Tau qhov twg los: opennet.ru
