Python Data Structures and Algorithms Course
This course provides hands-on training in advanced Python data structures and algorithms, emphasizing practical implementation for high-performance applications.

flexible workload from 4 to 360h
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, canceling, and batching requests, implement robust unit tests and fuzzing, analyze 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.
- Optimize 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 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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