DSA in Python Course – Search in a Binary Search Tree | LeetCode Easy | Part 169 [Hindi]

📘 Welcome to Part 169 of Code & Debug’s DSA in Python Course!

In this video, we solve our first Binary Search Tree problem: Search in a Binary Search Tree from LeetCode. We’ll implement an efficient iterative solution that takes advantage of the BST property to search for a target value in O(log n) time complexity.

This problem is perfect for understanding how BST properties make searching incredibly efficient compared to regular binary trees.

👨‍🏫 What’s covered in this video:
1. Understanding the problem statement from LeetCode
2. How BST properties help in efficient searching
3. Step-by-step iterative approach implementation
4. Complete Python code walkthrough
5. Time and Space Complexity analysis

By the end of this session, you’ll master the fundamental search operation in BSTs and be ready for more complex tree problems!

🔗 LeetCode Problem – Search in a Binary Search Tree:
https://leetcode.com/problems/search-in-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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