Binary Tree

A binary tree is a hierarchical data structure in computer science where each node has at most two children, referred to as the left child and right child. It is widely used for organizing data in a way that enables efficient searching, insertion, and deletion operations, forming the basis for more advanced structures like binary search trees and heaps.

Also known as: Binary Tree Data Structure, BinTree, B-Tree (common confusion), Binary Search Tree (specific type), Tree Structure

Why learn Binary Tree?

Developers should learn binary trees when implementing algorithms that require efficient data organization, such as in database indexing, file systems, or expression parsing. They are essential for understanding fundamental computer science concepts and are commonly tested in technical interviews for roles involving data structures and algorithms.

Learning Resources

• docs: GeeksforGeeks: Binary Tree Data Structure
• tutorial: Khan Academy: Binary Trees
• course: Coursera: Data Structures and Algorithms Specialization
• video: YouTube: Binary Trees - CS50
• book: Book: Introduction to Algorithms by Cormen et al.