Python Data Structures and Algorithms Course
This course provides hands-on experience in implementing advanced data structures like priority queues, heaps, and balanced trees in Python, focusing on high-performance applications with emphasis on testing and optimization.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
Master real-world data structures and algorithms in Python with a focused, practical course on priority queues, heaps, hash map hybrids, and balanced trees. Learn to design fast operations for inserting, updating, cancelling, and batching requests, implement robust unit tests and fuzzing, analyse performance with profiling tools, and write clean, maintainable, well-documented code ready for demanding, high-throughput systems.
Elevify advantages
Develop skills
- Design real-time priority queues: build fast, reliable request schedulers.
- Implement indexed heaps in Python: enable O(log n) updates and deletions.
- Optimise algorithms: tune distance, caching, and batch top-k retrieval.
- Engineer robust operations: insert, update, cancel, and batch with safety.
- Test and benchmark code: use unit tests and profiling to prove performance.
Suggested summary
Before starting, you can change the chapters and the 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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