Stop Overcomplicating This Binary Tree BFS Problem… LeetCode 104 Max Depth Explained

book me 1 on 1: https://calendly.com/wiseamenra1/1-1-data-structures-and-algorithm 🔗 Want the DFS Version Too (PART 1)?
https://youtu.be/ibOHeo4VvFM?si=PDO6LUptzLF_vnf5

Most people overthink the BFS approach for Max Depth of a Binary Tree, so let’s make it simple. In this quick breakdown, I show you the cleanest and most beginner-friendly way to solve Max Depth (LeetCode 104) using Breadth-First Search in Python.

If DFS feels confusing or you want the level-order version of this problem, this walkthrough is exactly what you’ve been looking for.

What You’ll Learn

1. How BFS actually works in a binary tree

2. Why level-order traversal makes depth calculation super easy

3. The exact Python code you need to pass LeetCode

4. How to avoid the common mistakes most people make with BFS

Python Code From the Video
from collections import deque

class Solution:
def maxDepth(self, root)

if not root: return 0
res = 0

q = deque([[root,1]])

while q:

for _ in range(len(q)):
node , level = q.popleft()
res = max(res,level)

if node.left: q.append([node.left,level + 1])
if node.right: q.append([node.right,level + 1])

return res
I also broke down the DFS solution in a separate video — watch that one if you want both approaches!

Видео Stop Overcomplicating This Binary Tree BFS Problem… LeetCode 104 Max Depth Explained канала Soupzzz