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📘 Welcome to Part 171 of Code & Debug's DSA in Python Course! In this video, we solve the important problem: Ceil in BST from GeeksforGeeks. We'll learn how to find the ceiling value (smallest element greater 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 crucial for understanding how to efficiently search for bounds in BSTs and is commonly asked in coding interviews. 👨🏫 What's covered in this video: 1. Understanding what "Ceil" means in the context of BST 2. How BST properties help in finding ceiling values efficiently 3. Step-by-step iterative approach implementation 4. Complete Python code walkthrough 5. Handling edge cases when ceiling doesn't exist 6. Time and Space Complexity analysis 7. Interview tips and common pitfalls By the end of this session, you'll master the concept of finding ceiling values in BSTs and understand how to apply similar logic to other bound-finding problems! 🔗 GFG Problem - Implementing Ceil in BST: https://www.geeksforgeeks.org/problems/implementing-ceil-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 #CeilBST #PythonDSA #GFGPractice #TreeProblems #CodeAndDebug #Part171 #DataStructures #BST #DSAforInterviews #CeilingValue
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