Lub tsev qiv ntawv rau scientific, lej thiab engineering suav SciPy 1.8.0 tau raug tso tawm. 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. . Txoj haujlwm code tau muab faib raws li BSD daim ntawv tso cai thiab siv qhov kev ua tau zoo ntawm kev ua haujlwm ntawm ntau qhov arrays los ntawm NumPy project.
Tus tshiab version ntawm SciPy muaj qhov pib siv ntawm API rau kev ua haujlwm nrog cov arrays sib cais, feem ntau ntawm nws cov ntsiab lus yog xoom. Txhawm rau ua kev suav nrog cov ntaub ntawv sib cais loj, SVD lub tsev qiv ntawv PROPACK suav nrog, cov haujlwm uas, thaum teeb tsa "solver = 'PROPACK'" parameter, muaj nyob hauv "scipy.sparse.svds" submodule. Ib tug tshiab submodule "scipy.stats.sampling" tau ntxiv, uas muab ib qho kev sib txuas rau UNU.RAN C lub tsev qiv ntawv, tsim los rau sampling arbitrary ib-dimensional inhomogeneous kev faib tawm mus thiab discrete. Txhua qhov chaw ntiag tug uas tsis siv cov ntawv sau hauv lawv cov npe tau raug txiav tawm.
Tau qhov twg los: opennet.ru