DSA in Python Course – Lowest Common Ancestor of a Binary Search Tree | LeetCode Medium | Part 178

📘 Welcome to Part 178 of Code & Debug’s DSA in Python Course!

In this video, we solve the classic problem: Lowest Common Ancestor of a Binary Search Tree from LeetCode. We’ll implement an efficient iterative solution that leverages the BST property to find the LCA in O(log n) time complexity by intelligently navigating the tree based on node values.

This problem is a perfect example of how BST properties can be used to optimize tree traversal and is frequently asked in coding interviews to test your understanding of tree algorithms.

👨‍🏫 What’s covered in this video:
1. Understanding the problem statement from LeetCode
2. How BST properties help in finding LCA efficiently
3. Step-by-step iterative approach implementation
4. Logic for determining when to go left, right, or stop
5. Handling edge cases when one node is ancestor of another
6. Complete Python code walkthrough
7. Time Complexity: O(log n) and Space Complexity: O(1) analysis
8. Comparison with general binary tree LCA approach

By the end of this session, you’ll master the concept of finding LCA in BSTs and understand how to apply BST properties to solve tree problems optimally!

🔗 LeetCode Problem – Lowest Common Ancestor of a Binary Search Tree:
https://leetcode.com/problems/lowest-common-ancestor-of-a-binary-search-tree/description/

📄 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

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