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Algorithms in Python is a collection of algorithm and data structure implementations (primarily in Python) meant to serve as both learning material and reference code for engineers. It includes code for graph algorithms, heap data structures, stacks, queues, and more — each implemented cleanly so learners can trace logic and adapt for their problems. The repository is particularly useful for people preparing for competitive programming, job interviews, or building a foundational understanding of algorithmic patterns. Because it’s openly maintained, you can browse through issues, see test cases, and observe coding style in a “learning through code” fashion. It also serves as a playground where you can add problems, measure performance, and compare different algorithmic approaches. For anyone striving to move from “I know the syntax” to “I know how to use the right algorithm at the right time,” this repository is a practical asset.
Features
- Implementations of common data structures (heap, stack, queue, etc)
- Graph algorithm examples (BFS, DFS, shortest path, etc)
- Clean, readable Python code suitable for learning and reference
- Test cases and example usage to validate correctness
- Handy for interview prep or algorithmic problem solving
- Open and maintainable so you can extend with additional algorithms
Project Samples
