DSA in Python – Advanced Recursion | Generate Subsequences with Sum K | Backtracking – Part 70

🚀 Welcome to Part 70 of Code & Debug’s DSA in Python Course!

In this lecture, we take Advanced Recursion a step further by generating all subsequences whose sum equals K using Recursion & Backtracking. This problem is a crucial concept in Dynamic Programming, Combinatorics, and Optimization Problems.

📚 What you’ll learn in this video:
✅ Understanding subsequences & sum constraints
✅ Recursive approach to generate valid subsequences
✅ Using Backtracking to optimize recursion calls
✅ Time complexity analysis of recursive subset generation
✅ Handling edge cases efficiently

💡 Why is this important?
This problem is a foundational concept for solving Subset Sum, Combination Sum, and Partitioning Problems using recursion. It’s frequently asked in FAANG coding interviews and is a must-know for Competitive Programming.

👉 Link to solve this question:
https://www.geeksforgeeks.org/dsa/find-all-subsequences-with-sum-equals-to-k/

👉 Refer the article below for better understanding:
https://codeanddebug.in/blog/print-all-subsequences-with-sum-k/

👉 📄 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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