DSA Python 2025 - Dijkstra’s Algorithm Using Set | Why Priority Queue is Better | Graphs Part 145

🚀 Welcome to Part 145 of Code & Debug’s DSA Python Course 2025!

In this video, we implement Dijkstra’s Algorithm using a set and understand why it’s NOT optimal compared to using a priority queue (heapq).

🔍 What you’ll learn:
✅ Dijkstra’s Algorithm using set
✅ Why set can become inefficient — O(V) extraction
✅ Comparison with priority queue (heap) — O(log V)
✅ When to use what (interview-ready insights)
✅ Clean Python implementation
✅ Time and space complexity breakdown

📄 Concept Covered:
• set has no efficient min-extraction → leads to higher time complexity
• Heap-based Dijkstra is better for large graphs
• Dry run included to visualize inefficiencies

📄 GFG Problem Link:

📚 Python DSA Course 2025 Playlist & Sheet:

🚀 Zero to Hero Python DSA Live Batch (Full Support):

💡 Free Masterclass with LeetCode-Based Problems:

💬 Doubts? Drop them in the comments!
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