DSA in Python – Height of Binary Tree | DFS & BFS Approaches | Leetcode 104 – Part 110 [Hindi]

🚀 Welcome to Part 110 of Code & Debug’s DSA Python Course!

In this lecture, we solve Leetcode 104: Maximum Depth of Binary Tree, also known as the height of a binary tree. We explore two powerful solutions:
1️⃣ DFS (Recursive)
2️⃣ BFS (Level Order Traversal using Queue)

📚 What you’ll learn in this video:
✅ What is the height of a binary tree and how it’s defined
✅ Recursive DFS approach to calculate max depth
✅ BFS approach using deque for level-by-level height calculation
✅ Time & space complexity of both solutions
✅ Visual dry run of both approaches

👉 Practice the problem on Leetcode:
🔗 https://leetcode.com/problems/maximum-depth-of-binary-tree/

👉 Refer to the article for better understanding:
🔗 https://codeanddebug.in/blog/maximum-depth-of-binary-tree/

👉 📄 Access the full YouTube DSA Playlist Sheet (All Questions in Order):
🔗 https://docs.google.com/spreadsheets/d/1AWE15Fy3wD2iqu2vjK_R7cCiuvSsjYQclcdZmHpF66o/edit?usp=sharing

👉 Enroll in this FREE DSA Python course here:
🔗 https://codeanddebug.in/course/master-dsa-with-leetcode

👉 Enroll for Self-Paced Advanced DSA course here:
🔗 https://codeanddebug.in/course/zero-to-hero-python-dsa

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