In this video, we solve the popular Two Sum problem (LeetCode #1) using the HashMap (dictionary) approach — one of the most efficient and beginner-friendly methods. We’ll go step-by-step through: ✅ Problem Explanation ✅ Approach Understanding (Brute Force vs HashMap) ✅ Python Code Implementation ✅ Dry Run Example ✅ Time & Space Complexity Analysis By the end, you’ll fully understand how to solve Two Sum efficiently and why HashMap makes it O(n) time instead of O(n²)! 📘 Topics Covered: Python Data Structures HashMap / Dictionary in Python DSA for Beginners LeetCode Problem Solving Time and Space Complexity 🎯 Ideal For: Beginners preparing for coding interviews, LeetCode practice, or anyone learning Data Structures and Algorithms (DSA) in Python. 📂 Code & Notes: [Add your GitHub or Google Drive link here] 💬 Timestamps (optional): 00:00 Problem Explanation 01:13 Approach (Brute Force vs HashMap) 02:55 Code Walkthrough 03:35 Dry Run 05:15 Dry Run and Complexity Analysis 📢 Don’t forget to Like, Share, and Subscribe for more DSA tutorials, coding interview prep, and Python problem-solving guides! #TwoSum #LeetCode #PythonDSA #HashMap #CodingInterview #LeetCodeEasy #PythonProgramming #DataStructures #Algorithms #DSAforBeginners #codergirl