DSA in Python Course – Dijkstra’s Algorithm Using Priority Queue | GFG | Graphs Part 144

🚀 Welcome to Part 144 of Code & Debug’s DSA in Python Course!

In this video, we implement the Dijkstra’s Algorithm using a min-heap (priority queue) to efficiently compute the shortest distance from a source node to all others.

🔍 What you’ll learn:
✅ Dijkstra’s Algorithm Intuition
✅ Using heapq for optimal performance
✅ Why we skip already shorter paths (distance check)
✅ How to construct adjacency list from edge list
✅ Time and space complexity analysis

📄 GFG Problem Link:
https://www.geeksforgeeks.org/problems/implementing-dijkstra-set-1-adjacency-matrix/1

👉 Refer to the article for better understanding:
🔗 https://codeanddebug.in/blog/dijkstra-algorithm-with-a-priority-queue/

📚 Python DSA Course Playlist & Sheet:
https://docs.google.com/spreadsheets/d/1AWE15Fy3wD2iqu2vjK_R7cCiuvSsjYQclcdZmHpF66o/edit?usp=sharing

🚀 Zero to Hero Python DSA:
https://codeanddebug.in/course/zero-to-hero-python-dsa

💡 Free Masterclass with LeetCode-Based Problems:
https://codeanddebug.in/course/master-dsa-with-leetcode

💬 Doubts? Drop them in the comments!
👍 Like, 🔁 Share & 🔔 Subscribe for more graph algorithms.

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