Added Graph Data Structure with Full Algorithm Explanations, Expanded Third-Party Libraries & Python Learning Resources #144
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huangsam
requested changes
Nov 5, 2025
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Thanks for these resources but I prefer if we don't add them this time around. If you'd like, create a separate PR with one or two new entries and I can look into them
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I like the intrinsic content, but it's using print statements instead of assert statements. Can we tweak it so that it tries asserting instead of printing things? Furthermore, can we add type hinting to this Python module?
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📘 Overview
This PR enhances the repository with two major educational and resource-focused updates:
Graph Data Structure Implementation (Python) — a complete, well-documented Python file covering all key graph algorithms.
Expanded “Third-Party Libraries” and “Additional Resources” Sections — with official links, categorized tools, and learning materials for developers.
🧠 1. Added: Graph Data Structure & Algorithms
File Added: graph_algorithms.py
Includes:
Graph representation using adjacency lists
Traversal algorithms: BFS and DFS
Topological Sort (DFS & Kahn’s algorithm)
Shortest path algorithms: Dijkstra, Bellman-Ford, Floyd-Warshall
Minimum Spanning Trees: Kruskal’s and Prim’s algorithms
Cycle Detection: for both directed and undirected graphs
Connected Components detection
Highlights:
📚 Every algorithm is fully explained with detailed comments
🧪 Self-contained and runnable example section included
💡 Perfect for beginners learning graphs and contributors exploring data structures
🧩 2. Expanded: Third-Party Libraries & Resources
Updated Section: “6. Third Party Libraries”
Added detailed subsections for:
Web Development: Flask, Django
Data Science: NumPy, Pandas
Data Visualization: Matplotlib
Machine Learning: Scikit-learn, TensorFlow, PyTorch
HTTP Requests: Requests
Image Processing: Pillow
Also Expanded:
🧭 Official Tutorials & Guides
🎥 Video Learning Resources (Corey Schafer, PyCon, Talk Python To Me)
📄 Cheat Sheets & Reference Docs
Purpose:
To help learners easily discover, explore, and use core third-party libraries and reliable Python resources in one place.