Python Data Structures Course
4.9/5
This hands-on course teaches you to implement essential Python data structures from scratch, including hash maps, linked lists, stacks, and circular queues. You'll master special methods, error handling, iteration protocols, and time complexity analysis while writing clean, testable, and well-documented code for reliable containers.

4.9 in rating
flexible workload from 4 to 360h
valid certificate in your country
What will I learn?
Master core Python data structures by building them from scratch in this focused, hands-on course. You will implement hash maps, linked lists, stacks, and circular queues, learn special methods, error handling, and iteration protocols, and practice documenting time complexity. With testing, clean code patterns, and clear docstrings, you gain practical skills to write efficient, reliable, and maintainable Python containers.
Elevify advantages
Develop skills
- Implement core data structures: build stacks, queues, lists, and hash maps fast.
- Design efficient queues: code circular buffers with safe wraparound and capacity checks.
- Build robust hash maps: handle collisions, resizing, and key lookups with confidence.
- Analyze performance: reason about time complexity and choose optimal data structures.
- Write production-ready code: unit-test, document, and package clean Python modules.
Suggested summary
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.What our students say
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