Summary
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🚀 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 🙏 Thank you for supporting Code & Debug! Don’t forget to like, share, and subscribe to our channel. Hit the 🔔 bell icon to stay updated with our latest lectures. #BinaryTree #TreeHeight #MaxDepth #DFS #BFS #Leetcode104 #PythonDSA #DSAPythonCourse #CodeAndDebug #TreeTraversal #CodingInterviews #Part110
