Summary
Full Transcript
Welcome to Part 148 of Code & Debug’s DSA Python Course 2025! In this video, we tackle Leetcode 1091 - Shortest Path in Binary Matrix, a classic BFS-based grid shortest path problem with 8-directional movement. We use a distance matrix for relaxation and stop as soon as we reach the destination. This is a perfect example to understand how BFS can be extended to weighted-like logic without using Dijkstra or priority queue. 👨🏫 What’s covered in this video: ✅ Problem walkthrough and why normal DFS won't work ✅ BFS grid traversal using a queue ✅ 8-directional movement from every cell ✅ Maintaining a distance matrix and relaxing distances ✅ Early exit when destination is reached ✅ Handling blocked starting and ending cells ✅ Python code walkthrough with dry run ✅ Time and Space Complexity Analysis This problem is a great stepping stone for mastering grid-based BFS and pathfinding in constrained environments. 🔗 Leetcode 1091 - Shortest Path in Binary Matrix: https://leetcode.com/problems/shortest-path-in-binary-matrix/description/ 🔗 Code Reference for Path Reconstruction: https://codeanddebug.in/blog/shortest-path-in-a-binary-matrix/ 📄 Full Playlist Sheet (All Questions in Order): https://docs.google.com/spreadsheets/d/1AWE15Fy3wD2iqu2vjK_R7cCiuvSsjYQclcdZmHpF66o/edit?usp=sharing 🎓 Enroll in the FREE Python DSA Course: https://codeanddebug.in/course/master-dsa-with-leetcode 🚀 Master the Full DSA Track (Zero to Hero): https://codeanddebug.in/course/zero-to-hero-python-dsa Stay consistent and keep grinding with Code & Debug. Like | Share | Subscribe & hit the bell icon for updates! #ShortestPathBinaryMatrix #Leetcode1091 #GridBFS #Pathfinding #PythonDSA #DSA2025 #CodeAndDebug #Part148 #GraphTraversal #BinaryMatrixBFS
