Funda ukuhlehla kwesihlahla sesinqumo kusukela ekuqaleni: ukuhlukana, i-Gini, i-entropy, ukuzuza kolwazi kanye nokulawula ukulingana ngokweqile, ngokuqonda okucacile nokusebenzayo.
Hlola impumelelo yakamuva ye-GPU ye-Python nge-cuda.cccl futhi ubone ukuthi i-Florida Python Challenge ibhekana kanjani nezinyoka ezihlaselayo. Chofoza ukuze ufunde kabanzi!
I-syntax yokusebenza ye-Python NumPy Shape iwumhlahlandlela ophelele ohlanganisa i-syntax evame kakhulu yokusebenza ngobumo ku-NumPy. Lo mhlahlandlela uhlanganisa izibonelo nezincazelo zayo yonke imisebenzi yomumo eyahlukene etholakala ku-NumPy, kanye namathiphu okuthuthukisa ikhodi yakho.
I-Python iwulimi olutolikwa olusezingeni eliphezulu olusetshenziswa kabanzi ukuze kuhlaziywe idatha kanye nekhompyutha yesayensi. Inomtapo wezincwadi ojwayelekile obanzi futhi iyifanele kahle imisebenzi efana nokuhlanza idatha, ukuhlaziya idatha, ukufunda ngomshini, ukwenza ikhompuyutha yesayensi, nokuthuthukiswa kwewebhu.
Umsebenzi we-Python NumPy ascontiguousarray Isibonelo: I-tuple kuhlelo. Lo msebenzi uthatha i-tuple futhi udale amalungu afanayo anenani elifanayo lezinto njenge-tuple.
I-NumPy packbits iyikhodi epakishwe amalungu afanayo eduze kwe-eksisi 1. Ihlinzeka ngokupakishwa okuphumelelayo kwezinhlaka ezinobukhulu bokuqala.
I-Numpy collapse in the last dimension iwumtapo wezincwadi wePython onamandla wokugoqa ukulingana kwezinhlaka. Iyashesha, iyasebenza, futhi kulula ukuyisebenzisa.
Leli fayela liqukethe ukuqaliswa okulungiselelwe nokusebenziseka kalula kohlobo olujwayelekile lwaseJordani lwe-matrix kuPython kusetshenziswa iNumPy.
I-Numpy Random Entries Not Repeat iyimojula yePython ekhiqiza okufakiwe okungahleliwe kokulandelana okuthile.