Data Structures in Python Course
What will I learn?
Fundeni bwino bwino ifyo ifya kulongela data (data structures) mu Python na iyi course yesu iyakumanina, iyalengelelwa abantu ababomba imilimo ya technology. Ingilileni mukati mu ma lists, arrays, trees, na graphs, kabili fundeni ifyo munga lungulula (optimize) ama algorithms ukuti yebombesha bwino bwino. Belengelenimo ifya heaps, priority queues, sets, na dictionaries, sambilileni na ifyo munga tesha (test) no kuwamya (debug) ama code. Iyi course iyakosa kabili iya kulenga mulesambilila muli experience, ilamupela amaka yakusala ifyo mulefwaya ukulongela data na ukukusha amano yenu aya kulemba ama code, conse conse pa tempo yenu. Lembelesheni nomba line ukuti mukule amano yenu mu tekinoloji.
Apoia's Unique Offerings
Develop your skills
Enhance your practical skills listed below
Fundeni bwino bwino ifyo mungalongela data na ma Python lists na ma arrays bwino bwino.
Bombelesheni no kulungulula (optimize) ama trees na ma graphs pa kulongela data iyayampana.
Linganyeniko (Analyze) inshita na space complexity ukuti imilimo yenu ibe iyawama.
Yamfyeni (Debug) no kutesha (test) ama Python code ukuti ama application yenu yakose.
Bombelesheni ama heaps na ma priority queues pa kulongela data iya pa ntanshi.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can change the chapters and 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 similar to the examples below
This is a free course aimed at personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but provides practical and relevant knowledge for your professional journey.