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📘 Welcome to Part 170 of Code & Debug's DSA in Python Course! In this video, we solve the fundamental problem: Minimum Element in BST from GeeksforGeeks. We'll explore how the BST property makes finding the minimum element incredibly efficient by simply traversing to the leftmost node in the tree. This problem demonstrates one of the key advantages of Binary Search Trees and is essential for understanding how BST properties can be leveraged for efficient operations. 👨🏫 What's covered in this video: 1. Understanding the problem statement from GFG 2. How BST property guarantees minimum element at leftmost position 3. Step-by-step iterative approach implementation 4. Complete Python code walkthrough 5. Time and Space Complexity analysis 6. Edge cases and interview tips 7. Why we traverse left to find minimum in BST By the end of this session, you'll understand how to efficiently find minimum elements in BSTs and apply this knowledge to more complex tree problems! 🔗 GFG Problem - Minimum element in BST: https://www.geeksforgeeks.org/problems/minimum-element-in-bst/1 📄 Full Playlist Sheet (All Questions in Order): https://docs.google.com/spreadsheets/d/1AWE15Fy3wD2iqu2vjK_R7cCiuvSsjYQclcdZmHpF66o/edit?usp=sharing 🎓 Enroll in the FREE Python DSA Course: https://codeanddebug.in/course/master-dsa-with-leetcode 🚀 Advance Python DSA for FAANG (Zero to Hero Course): https://codeanddebug.in/course/zero-to-hero-python-dsa Stay focused and keep coding with Code & Debug. Like | Share | Subscribe | Hit the 🔔 #BinarySearchTree #MinimumBST #PythonDSA #GFGPractice #TreeProblems #CodeAndDebug #Part170 #DataStructures #BST #DSAforInterviews
