Data Structures and Algorithms with Python | Free DSA with Python Course - DSA in Python - Path With Minimum Effort | Leetcode 1631 Explained | Dijkstra on Grids - Part 149

📘 Welcome to Part 149 of Code & Debug’s DSA Python Course 2025! In this video, we dive into Leetcode 1631 - Path With Minimum Effort, a brilliant variation of Dijkstra’s Algorithm applied to a 2D grid. This problem challenges you to find a path from the top-left to the bottom-right cell such that the maximum absolute difference between consecutive heights is minimized. 👨‍🏫 What’s covered in this video: ✅ Why this isn’t just a normal BFS/DFS problem ✅ Dijkstra’s Algorithm for minimum-effort pathfinding ✅ Using a priority queue (min-heap) for efficient traversal ✅ Updating effort matrix with max() of previous effort and current step ✅ Early stopping as soon as destination is reached ✅ Step-by-step Python code walkthrough ✅ Detailed dry run and logic visualization ✅ Time and Space Complexity Analysis Perfect for interviews and contests where weighted graphs or tricky path constraints show up. 🔗 Leetcode 1631 - Path With Minimum Effort: https://leetcode.com/problems/path-with-minimum-effort/description/ 👉 Refer to the article for better understanding: 🔗 https://codeanddebug.in/blog/path-with-minimum-effort/ 📄 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 focused and keep leveling up with Code & Debug. Like | Share | Subscribe & hit the bell icon for updates! #PathWithMinimumEffort #Leetcode1631 #Dijkstra #GridProblems #EffortMatrix #PythonDSA #CodeAndDebug #Part150 #GraphDSA #DSA2025 #GridTraversal