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🚀 Welcome to Part 81 of Code & Debug’s DSA in Python Course! In this lecture, we solve the famous Rat in a Maze problem from GeeksforGeeks, where we explore all possible paths a rat can take from the top-left to the bottom-right corner of a maze using Recursion & Backtracking. 📚 What you’ll learn in this video: ✅ Understanding the maze structure and movement rules ✅ Recursive Backtracking to explore all valid paths ✅ Using visited matrix to prevent cycles ✅ Sorting output in lexicographic order as per constraints ✅ Time & space complexity analysis 💡 Why is this important? This problem is a classic example of grid-based backtracking, useful for solving real-world problems like robot pathfinding, AI navigation, and puzzle solving. It's a must-practice for FAANG interviews and competitive programming. 👉 Link to solve this question: https://www.geeksforgeeks.org/problems/rat-in-a-maze-problem/1 👉 Refer the article below for better understanding: https://codeanddebug.in/blog/rat-in-a-maze-problem/ 👉 📄 Access the full YouTube DSA Playlist Sheet (All Questions in Order): 🔗 https://docs.google.com/spreadsheets/d/1AWE15Fy3wD2iqu2vjK_R7cCiuvSsjYQclcdZmHpF66o/edit?usp=sharing 👉 Enroll in the free DSA Python course here: https://codeanddebug.in/course/master-dsa-with-leetcode 👉 Enroll for Self-Paced Advance 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. #RatInAMaze #Backtracking #Recursion #GFG #MazeProblems #PythonDSA #DSAPythonCourse #CodeAndDebug #CodingInterviews #CompetitiveProgramming #Part81
