Data Structures And Algorithms in Python Course
What will I learn?
Gonaidza zvakakosha zve deta structures nema algorithms ne Deta Structures ne Algorithms mu Python Course yedu, yakagadzirirwa vanhu vanoshanda mumaindustry yezvemichina vanoda kukwidziridza hunyanzvi hwavo hwekunyora macode. Nyatsobaya mukugadzirisa deta, nzira dzekutsvaga dzinoshanda, uye magadzirirwo chaiwo ePython senge madictionary nema graph. Dzidza kugadzira algorithm, ongorora nguva nenzvimbo zvinodiwa, uye shandisa system yerabhurari. Simudzira programming yako netsika dzakanakisa mukunzwisisa macode, kuitisa test nema document. Joinha izvozvi kuti uzarure kugona kwako muPython programming.
Apoia's Unique Features
Develop skills
Enhance your development of the practical skills listed below
Gonaidza kugadzirisa deta: Tsvaga, sefa, uye rongedza deta zvakanaka muPython.
Shandisa advanced search: Shandisa hashing, binary, uye linear search techniques.
Gadzira algorithms dzakasimba: Ongorora nguva nenzvimbo zvinodiwa kuitira mhinduro dzakanakisa.
Vaka data structures: Gadzira uye gadzirisa madictionary, malist, miti, nema graph.
Shandisa Python best practices: Wedzera kunzwisisa macode, kuitisa test nema document.
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 will 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.