A Binary Search Tree (BST) is a specialized data structure that maintains sorted data in a hierarchical manner, allowing for efficient search, insertion, and deletion operations. In a BST, each node has a value, and the left subtree contains only nodes with values less than the node’s value, while the right subtree contains only nodes with values greater than the node’s value. This property makes searching for a value efficient, as you can eliminate half of the tree at each step.

To implement a BST in Python, you typically define a Node class that represents each node in the tree. Each node has a value, a left child, and a right child. You can create methods for inserting new nodes, searching for values, and deleting nodes. The insertion method, for example, checks whether the new value is less than or greater than the current node’s value and recursively places it in the appropriate subtree ³⁴.

If you’re interested in learning more about specific operations or implementations, feel free to ask!