Data Structures and Algorithms with Python | Free DSA with Python Course - 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-matrix-leetcode-542/ 👉 📄 Access the full YouTube DSA Playlist Sheet (All Questions in Order): 🔗 https://docs.google.com/spreadsheets/d/1AWE15Fy3wD2iqu2vjK_R7cCiuvSsjYQclcdZmHpF66o/edit?usp=sharing 👉 Enroll in this FREE DSA Python course here: 🔗 https://codeanddebug.in/course/master-dsa-with-leetcode 👉 Enroll for Self-Paced Advanced DSA course here: 🔗 https://codeanddebug.in/course/zero-to-hero-python-dsa 🙏 Thank you for supporting Code & Debug! Don’t forget to like, share, and subscribe to our channel. Hit the 🔔 bell icon to stay updated with our latest lectures. #01Matrix #MultiSourceBFS #GridTraversal #Leetcode542 #MatrixBFS #PythonDSA #DSAPythonCourse #CodeAndDebug #DSA2025 #CodingInterviews #Part126