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📘 Welcome to Part 172 of Code & Debug's DSA in Python Course! In this video, we solve the important problem: Floor in BST from GeeksforGeeks. We'll learn how to find the floor value (largest element less than or equal to the given input) in a Binary Search Tree using an efficient iterative approach that leverages the BST property. This problem is the perfect counterpart to the ceiling problem we solved in the previous video, and understanding both concepts is crucial for mastering BST operations in coding interviews. 👨🏫 What's covered in this video: 1. Understanding what "Floor" means in the context of BST 2. How BST properties help in finding floor values efficiently 3. Step-by-step iterative approach implementation 4. Complete Python code walkthrough 5. Handling edge cases when floor doesn't exist 6. Time and Space Complexity analysis By the end of this session, you'll master the concept of finding floor values in BSTs and understand how to apply similar logic to other bound-finding problems! 🔗 GFG Problem - Floor in BST: https://www.geeksforgeeks.org/problems/floor-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 #FloorBST #PythonDSA #GFGPractice #TreeProblems #CodeAndDebug #Part172 #DataStructures #BST #DSAforInterviews #FloorValue
