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In the last two posts, we covered what binary trees are and how to traverse them. Now it’s time to take a step further and explore a powerful, efficient variation: the Binary Search Tree (BST). A Binary Search Tree enables fast insertion, lookup, and deletion of elements. It’s one of the most important data structures you'll come across—especially in interviews and system design discussions. Let’s break it all down in this post: What makes a tree a BST How to implement one in JavaScript How to insert, search, and delete values Why balancing matters Time complexity and real-world use cases

Apr 14, 2025 - 17:10
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In the last two posts, we covered what binary trees are and how to traverse them. Now it’s time to take a step further and explore a powerful, efficient variation: the Binary Search Tree (BST).

A Binary Search Tree enables fast insertion, lookup, and deletion of elements. It’s one of the most important data structures you'll come across—especially in interviews and system design discussions.

Let’s break it all down in this post:

  • What makes a tree a BST
  • How to implement one in JavaScript
  • How to insert, search, and delete values
  • Why balancing matters
  • Time complexity and real-world use cases

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