DSA in Python – Combination Sum II | Recursion & Backtracking | Leetcode 40 – Part 76 [Hindi]

🚀 Welcome to Part 76 of Code & Debug’s DSA in Python Course!

In this lecture, we solve Leetcode 40: Combination Sum II, a variation of Combination Sum that requires handling duplicate elements while generating unique combinations.

📚 What you’ll learn in this video:
✅ Understanding the problem statement & constraints
✅ Recursive Backtracking approach to generate valid unique combinations
✅ Avoiding duplicate subsets using sorting & skipping duplicates
✅ Time complexity analysis and best practices
✅ Handling edge cases efficiently

💡 Why is this important?
This problem enhances your understanding of Recursion, Backtracking, and Combinatorial Problems. It is frequently asked in FAANG coding interviews and helps in solving problems like Subset Sum, Partitioning Problems, and Coin Change Variants.

👉 Link to solve this question:
https://leetcode.com/problems/combination-sum-ii/description/

👉 Refer the article below for better understanding:

Combination Sum II | Leetcode 40 | 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

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