DSA Python - 01 Matrix | Multi-Source BFS for Shortest Distance | Leetcode 542 - Part 126 [Hindi]
🚀 Welcome to Part 126 of Code & Debug’s DSA Python Course 2025!
In this lecture, we solve Leetcode 542: 01 Matrix, where we calculate the minimum distance of each cell to the nearest 0 using an efficient Multi-Source BFS approach.
📚 What you’ll learn in this video:
✅ Understanding the grid and the shortest path to nearest 0
✅ Why Multi-Source BFS is optimal for this problem
✅ Tracking visited cells and level-based distance
✅ Full Python implementation using deque
✅ Time and space complexity breakdown
💡 Why is this important?
This problem is a perfect application of BFS in matrices and helps in mastering problems like flood fill, rotten oranges, and nearest distance. It's also a favorite in interviews that involve grids and shortest path optimizations.
👉 Practice the problem on Leetcode:
🔗 https://leetcode.com/problems/01-matrix/
👉 Refer to the article for better understanding:
📌 https://codeanddebug.in/blog/01-matri...
👉 📄 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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