A Binary Search Tree (BST) is a specialized data structure that maintains sorted data, allowing for efficient search, insertion, and deletion operations. In a BST, each node has at most two children, with the left child containing values less than the parent node and the right child containing values greater than the parent node. This property enables quick lookups, as you can eliminate half of the tree with each comparison.

To implement a BST in Python, you typically define a Node class that represents each node in the tree. Each node contains a value, a left child, and a right child. You can also 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.

For a basic implementation, you can start with defining the Node class and then create methods to add and search for nodes within the tree ¹³⁴.