LeetCode 608 - Tree Node (Python and SQL) [Medium]
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In this tutorial, we solve LeetCode 608: Tree Node using both SQL and Python (Pandas). This problem challenges you to classify each node in a tree as a Root, Inner, or Leaf based on parent-child relationships. It’s a great exercise in joins, conditionals, and thinking hierarchically.
LeetCode 608 - Tree Node: https://leetcode.com/problems/tree-no...
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In this video, I break down LeetCode 608 Tree Node, a medium-difficulty problem that challenges you to classify each node in a binary tree as either a root, inner node, or leaf. I walk you through complete solutions in both SQL and Python Pandas, explaining the logic step-by-step so you can understand exactly how to approach this type of problem.
The key to solving this problem is understanding how to identify each node type: a root has no parent, an inner node has both a parent and children, and a leaf has a parent but no children. I demonstrate how to use a self-join in SQL to link parent and child relationships, then build a CASE statement to classify each node appropriately. For the Python Pandas solution, I show you how to merge dataframes, apply custom functions with if-elif-else logic, and clean up duplicates to get the correct output.
By the end of this tutorial, you'll understand how to tackle tree structure problems in both SQL and Pandas, use self-joins effectively, and apply conditional logic to classify data. Whether you're preparing for technical interviews or just improving your data manipulation skills, this walkthrough will help you master this medium LeetCode question and similar tree node problems.
TIMESTAMPS
00:00 Problem Introduction & Overview
01:42 Understanding the Tree Structure
03:05 Building the SQL Self-Join
05:02 Creating the Case Statement
06:03 Starting the Python Pandas Solution
07:32 Building the Node Classification Function
09:13 Merging and Renaming Columns
10:17 Debugging and Final Solution
11:02 SQL Solution Recap
11:27 Python Solution Recap
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Ryan is a Data Scientist at a fintech company, where he focuses on fraud prevention in underwriting and risk. Before that, he worked as a Data Analyst at a tax software company. He holds a degree in Electrical Engineering from UCF.
Who is Matt
Matt is the founder of Width.ai, an AI and Machine Learning agency. Before starting his own company, he was a Machine Learning Engineer at Capital One.
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