DSA in Python – Floyd Warshall Algorithm | All-Pairs Shortest Path | GFG Problem | Part 154 [Hindi]

📘 Welcome to Part 154 of Code & Debug’s DSA Python Course!

In this video, we dive into the Floyd-Warshall Algorithm, a classic approach for finding the shortest paths between all pairs of vertices in a weighted graph.

We solve the GFG problem “Implementing Floyd Warshall”, using the 3-level nested loop technique that updates every pair’s shortest distance via every other node.

👨‍🏫 What’s covered in this video:
✅ When to use Floyd-Warshall over Dijkstra/Bellman-Ford
✅ 3-loop structure to update shortest paths
✅ How to handle 10^8 as “infinity” in graphs
✅ Matrix updates & in-place modifications
✅ Time Complexity: O(N^3) explained
✅ Detecting unreachable pairs & negative weights

This algorithm is especially useful when you need all-pairs shortest paths, making it a must-know for graph problems in competitive coding and interviews.

🔗 GFG Problem – Implementing Floyd Warshall:
https://www.geeksforgeeks.org/problems/implementing-floyd-warshall2042/1

👉 Refer to the article for better understanding:
🔗 https://codeanddebug.in/blog/floyd-warshall-vs-dijkstra-all-pairs-shortest-paths/

📄 Full Playlist Sheet (All Questions in Order):
https://docs.google.com/spreadsheets/d/1AWE15Fy3wD2iqu2vjK_R7cCiuvSsjYQclcdZmHpF66o/edit?usp=sharing

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https://codeanddebug.in/course/zero-to-hero-python-dsa

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