🚀 Welcome to Part 120 of Code & Debug’s DSA Python Course 2025! In this lecture, we solve the Breadth First Search (BFS) Traversal problem from GeeksforGeeks, using a queue + visited array technique. BFS is one of the most fundamental algorithms used in graph traversal, shortest paths, and connected components.

📚 What you’ll learn in this video:
✅ What is Breadth First Search and where it is used
✅ BFS traversal using queue (FIFO) and visited tracking
✅ Difference between BFS in graphs vs. trees
✅ Real-world analogy: exploring nodes level by level
✅ Time & space complexity analysis

💡 Why is this important?
BFS is the building block for advanced algorithms like Dijkstra’s, Prim’s, Topological Sort, and Flood Fill. It’s also a must-know technique for solving problems like shortest path in unweighted graphs, multi-source traversal, and component discovery.

👉 Practice the problem on GeeksforGeeks:
🔗 https://geeksforgeeks.org/problems/bf...

👉 Refer to the article for better understanding:
📌 https://codeanddebug.in/blog/breadth-...

👉 📄 Access the full YouTube DSA Playlist Sheet (All Questions in Order):
🔗 https://docs.google.com/spreadsheets/...

👉 Enroll in this FREE DSA Python course here:
🔗 https://codeanddebug.in/course/master...

👉 Enroll for Self-Paced Advanced DSA course here:
🔗 https://codeanddebug.in/course/zero-t...

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