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This is Lecture 2 of my Backtracking Series 🔥 Upsolve Leetcode Contest: • Leetcode Contests Greedy & Heaps: • Greedy & Heaps Two pointers: • Two pointers Sliding Window: • Sliding Window Maths & Geometry: • Maths & Geometry Stack: • Stack Set & Map: • Set & Map Bit manipulation: • Bit Manipulation Backtracking: • Backtracking Linked List: • Linked List Binary Search: • Плейлист Graph: • Graph Dynamic Progamming: • Dynamic Programming In this video, we solve the classic *Subsets Problem* using Backtracking with: ✔ Step-by-step recursion explanation ✔ Complete dry run ✔ Recursion tree visualization ✔ Include / Exclude decision method You will learn: How backtracking actually works on a real problem How choices are made and reverted (backtrack) How recursion tree grows and shrinks How to think while solving backtracking problems Problem covered: 👉 Subsets / Power Set problem This problem is the foundation of almost every backtracking problem like: Permutations Combination Sum N-Queens Palindromic Partitioning 📌 If you are new to Backtracking, watch Lecture 1 first (Recursion Basics), then continue with this. Language: Hindi + English (Hinglish) 🔔 Subscribe to follow the complete Backtracking Series. #backtracking #subsets #recursion #dsa #datastructures #algorithms #coding #codinginterview #placementpreparation #leetcode #neetcode #javacoding #cppcoding #pythoncoding #competitiveprogramming #interviewpreparation #hindicoding #learncoding #engineeringstudents