Data Structures in Python Course
What will I learn?
Ithute dintlha tsa botlhokwa tsa dipopego tsa data mo Python ka kose ya rona e e tsepameng, e e diretsweng batho ba ba dirang mo go tsa boranyane. Tsenelela mo dilisteng, di-array, ditlhare le digarafo, mme o ithute go tokafatsa di-algorithm go bona bokgoni. Sekaseka di-heap, mela ya botlhokwa, disete le didikishinari, fa o ntse o nonotsha bokgoni jwa gago mo go lekeleng le go rarabolola diphoso. Kose e e maemo a kwa godimo, e e itebagantseng le go ikatisa e go thusa go tlhopha dipopego tsa data tse di siameng le go tokafatsa bokgoni jwa gago jwa go kwala dikhoutu, tsotlhe ka lobelo lwa gago. Ikwadise jaanong go godisa bokgoni jwa gago jwa botegeniki.
Apoia's Unique Advantages
Develop skills
Enhance the development of the practical skills listed below
Ithute ka botlalo dilist le di-array tsa Python go laola data ka bokgoni.
Diragatsa le go tokafatsa ditlhare le digarafo tsa data e e rarileng.
Sekaseka nako le bokete jwa sebaka go bona maduo a a botoka.
Rarabolola diphoso le go leka khoutu ya Python go netefatsa ditiriso tse di nonofileng.
Dirisa di-heap le mela ya botlhokwa go laola data e e kwa godimo.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify the chapters and the workload.
- Choose which chapter to start with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can add
You’ll be able to generate more chapters like the examples below
This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.