DSA in Python – N-Queens Problem | Recursion & Backtracking | Leetcode 51 – Part 80 [Hindi]

🚀 Welcome to Part 80 of Code & Debug’s DSA in Python Course!

In this video, we solve the classic N-Queens problem (Leetcode 51) using Recursion & Backtracking. This is one of the most famous constraint satisfaction problems, where we place N queens on an N×N chessboard so that no two queens attack each other.

📚 What you’ll learn in this video:
✅ Understanding the chessboard constraints for N-Queens
✅ Recursive Backtracking strategy to place queens safely
✅ Optimizations using hashing for columns & diagonals
✅ Time and space complexity analysis
✅ Handling edge cases and understanding the recursion tree

💡 Why is this important?
The N-Queens problem is a staple in interviews and competitive coding. It builds deep intuition for backtracking, grid-based problems, and safe placement logic—essential for problems involving 2D recursion and constraints.

👉 Link to solve this question:
https://leetcode.com/problems/n-queens/description/

👉 Refer the article below for better understanding:

N-Queens | Leetcode 51 | Brute and Optimal Solution

👉 📄 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.

#NQueens #Backtracking #Recursion #Leetcode51 #ChessboardProblems #PythonDSA #DSAPythonCourse #CodeAndDebug #CompetitiveProgramming #CodingInterviews #Part80