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Minimal examples of data structures and algorithms in Python
25,471 starsPython
Algorithms 1.0.0 – Minimal and clean implementations of algorithms
by kwk236·Feb 18, 2026·7 points·0 comments
AI Analysis
●MidNiche GemCrowd Pleaser
The Take
Files are single-purpose and readable: each algorithm comes with docstrings, type hints, complexity notes and runnable examples so you can read, test, or pip-install bits immediately. It isn't breaking new ground — algorithm collections are common — but the focus on clarity, tests, and a tiny surface API (merge_sort, BinaryHeap, dijkstra, etc.) makes this a reliable reference and teaching aid.
Category
Target Audience
Students, educators, interview candidates, and developers learning algorithms/data structures
Post Description
Minimal, clean, and well-documented implementations of data structures and algorithms in Python 3.
Each file is self-contained with docstrings, type hints, and complexity notes — designed to be read and learned from.
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