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🚀 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 🙏 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 #Subsequences #SumK #Backtracking #PythonDSA #DSAPythonCourse #CodeAndDebug #CompetitiveProgramming #CodingInterviews #Part70
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