DSA in Python Course – Backtracking | Check if a Subsequence with Sum = K Exists | Part 71 [Hindi]

🚀 Welcome to Part 71 of Code & Debug’s DSA in Python Course!

In this lecture, we tackle an important Advanced Recursion problem: Checking if there exists a subsequence with sum K using Recursion & Backtracking. This is a crucial concept in Dynamic Programming, Combinatorial Optimization, and Subset Sum Problems.

📚 What you’ll learn in this video:
✅ Understanding the problem statement & constraints
✅ Recursive approach to check for valid subsequence
✅ Optimizing using Backtracking to reduce redundant calls
✅ Time complexity analysis of the recursive approach
✅ Handling edge cases efficiently

💡 Why is this important?
This problem lays the foundation for Subset Sum, Partitioning Problems, and Dynamic Programming. It is commonly asked in FAANG interviews and helps in solving optimization problems using recursion and backtracking.

👉 Link to solve this question:
https://www.geeksforgeeks.org/problems/check-if-there-exists-a-subsequence-with-sum-k/0

👉 Refer the article below for better understanding:

Check if there exists a subsequence with sum = K | Backtracking Solution in Python

👉 📄 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.

#Recursion #SubsequenceSumK #SubsetSum #Backtracking #PythonDSA #DSAPythonCourse #CodeAndDebug #CompetitiveProgramming #CodingInterviews #Part71