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DSA Python – Binary Tree Maximum Path Sum | Optimized DFS Approach | Leetcode 124 – Part 113 [Hindi]

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🚀 Welcome to Part 113 of Code & Debug’s DSA in Python Course!

In this lecture, we solve the Leetcode 124: Binary Tree Maximum Path Sum problem using an efficient DFS-based approach. We compute the maximum path sum by considering every possible path that can pass through a node — including both its left and right subtrees.

📚 What you’ll learn in this video:
✅ Understanding what a path means in a binary tree
✅ How to handle negative path sums while traversing
✅ Optimized postorder DFS with global maxi tracker
✅ Step-by-step dry run with clear logic
✅ Time and space complexity breakdown

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

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

👉 📄 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.

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