Data Structures and Algorithms with Python | Free DSA with Python Course - DSA in Python - Combination Sum III | Recursion & Backtracking | Leetcode 216 - Part 78 [Hindi]

🚀 Welcome to Part 78 of Code & Debug’s DSA in Python Course! In this lecture, we solve Leetcode 216: Combination Sum III, a variation of the combination sum problem where we must select exactly k unique numbers (1 to 9) that add up to a given target. We'll solve this using Recursion & Backtracking. 📚 What you’ll learn in this video: ✅ Understanding the problem statement and constraints ✅ Recursive Backtracking approach to generate valid combinations ✅ How to control the length of each combination (k elements) ✅ Avoiding duplicates using pruning and start index ✅ Time and space complexity analysis 💡 Why is this important? This problem combines concepts of subset generation, combinatorics, and pruning, and is frequently asked in FAANG interviews. Mastering this helps in understanding how to control recursion depth and structure. 👉 Link to solve this question: https://leetcode.com/problems/combination-sum-iii/description/ 👉 Refer the article below for better understanding: https://codeanddebug.in/blog/combination-sum-iii/ 👉 📄 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 #Backtracking #CombinationSumIII #Leetcode216 #PythonDSA #DSAPythonCourse #CodeAndDebug #Combinatorics #CompetitiveProgramming #CodingInterviews #Part78