I-Essence ye-Python Libraries ku-Data Science

Emkhathini omkhulu wezinhlelo, iPython igqame njengolimi olukhethwa yisayensi yedatha. Isizathu ? Imitapo yolwazi yayo enamandla enikelwe ekuhlaziyeni idatha. Isifundo esithi “Discover Python library for Data Science” ku-OpenClassrooms ikunikeza ukucwiliswa okujulile kulesi simiso sezinto eziphilayo.

Kusuka kumamojula okuqala, uzokwaziswa ngemikhuba emihle nolwazi oluyisisekelo ukuze wenze ukuhlaziya kwakho ngePython. Uzothola ukuthi imitapo yolwazi efana neNumPy, Pandas, Matplotlib kanye neSeaborn ingaguqula kanjani indlela yakho yokuthola idatha. Lawa mathuluzi azokuvumela ukuthi uhlole, ulawule futhi ubone ngeso lengqondo idatha yakho ngokusebenza kahle okungenakuqhathaniswa nokunemba.

Kodwa akugcini lapho. Uzofunda nokubaluleka kokulandela imithetho ethile eyisisekelo lapho usebenzisana nenani elikhulu ledatha. Le migomo izokusiza ukuthi uqinisekise ukwethembeka nokufaneleka kokuhlaziya kwakho.

Kafushane, lesi sifundo siyisimemo sokucwila emhlabeni othakazelisayo wesayensi yedatha ngePython. Noma ngabe ungumuntu osaqala ukwazi noma uchwepheshe ofuna ukucija amakhono akho, lesi sifundo sizokunikeza amathuluzi namasu okuphumelela kulo mkhakha.

Zitholele Amandla Ozimele Bedatha Ukuze Uhlaziye Okusebenzayo

Uma kukhulunywa ngokukhohlisa nokuhlaziya idatha ehleliwe, ozimele bedatha babalulekile. Futhi phakathi kwamathuluzi atholakalayo okusebenza ngalezi zakhiwo zedatha, amaPanda agqama njengezinga legolide ku-ecosystem yePython.

Isifundo se-OpenClassrooms siyakuqondisa isinyathelo ngesinyathelo ekudalweni kozimele bakho bokuqala bedatha ngamaPanda. Lezi zakhiwo ezinezinhlangothi ezimbili, ezifana nezinhlelo ezifanayo zivumela ukukhohliswa kalula kwedatha, ukuhlinzeka ngokuhlunga, ukuhlunga, nokusebenza kokuhlanganisa. Uzothola ukuthi ungabasebenzisa kanjani laba bozimele bedatha ukuze ukhiphe ulwazi olufanele, uhlunge idatha ethile futhi uhlanganise nemithombo yedatha ehlukile.

Kodwa i-Pandas ingaphezu nje kokukhohlisa. Umtapo wolwazi uphinde unikeze amathuluzi anamandla okuhlanganisa idatha. Kungakhathaliseki ukuthi ufuna ukwenza imisebenzi yeqembu, ukubala izibalo ezichazayo noma ukuhlanganisa amasethi wedatha, i-Pandas ikukhavé.

Ukuze uphumelele kusayensi yedatha, akwanele ukwazi ama-algorithms noma amasu okuhlaziya. Kubaluleke ngendlela efanayo ukwazi amathuluzi enza kube nokwenzeka ukulungisa nokuhlela idatha. NgamaPanda, unozakwethu omkhulu wokuhlangabezana nezinselelo zesayensi yedatha yesimanje.

Ubuciko bokuxoxa izindaba ngedatha yakho

Isayensi yedatha ayikona nje ukukhipha kanye nokukhohlisa idatha. Esinye sezici eziheha kakhulu yikhono lokubona ngeso lengqondo lolu lwazi, luguqule lube izethulo eziyizithombe ezixoxa indaba. Kulapho uMatplotlib noSeaborn, imitapo yolwazi emibili edume kakhulu yePython, ingena khona.

Isifundo se-OpenClassrooms sikuthatha ohambweni lwakho olumangalisayo lokubonwa kwedatha ngePython. Uzofunda indlela yokusebenzisa i-Matplotlib ukuze udale amagrafu ayisisekelo, njengamashadi amabha, ama-histograms, neziza zokuhlakaza. Uhlobo ngalunye lweshadi lunencazelo yalo kanye nomongo wokusetshenziswa, futhi uzoqondiswa ngezinqubo ezingcono kakhulu zesimo ngasinye.

Kodwa ukubona ngeso lokhozi akugcini lapho. I-Seaborn, eyakhelwe ku-Matplotlib, inikeza izici ezithuthukile zokudala ukubonwa okuyinkimbinkimbi nokujabulisa ngobuhle. Noma ngabe amamephu okushisa, amashadi efiddle, noma iziqephu ezibhanqiwe, u-Seaborn wenza umsebenzi ube lula futhi ube onembile.