Traversing a Binary Search Tree (BST) involves visiting all the nodes in a specific order. This is crucial for tasks such as printing tree elements, performing operations on all nodes, or converting the tree to a list. There are three primary traversal methods: in-order, pre-order, and post-order.

In-order traversal visits nodes in the following order: left subtree, root node, and then right subtree. For a BST, this traversal yields the nodes in ascending order.

Pre-order traversal visits nodes in the following order: root node, left subtree, and then right subtree. This is useful for operations that need to process the root before its subtrees.

Post-order traversal visits nodes in the following order: left subtree, right subtree, and then root node. This method is helpful for tasks like deleting the tree where children are processed before the parent.

Here’s a Python implementation demonstrating all three traversal methods for a Binary Search Tree.

Traversing a Binary Search Tree (BST) is essential for various operations such as printing elements or performing actions on all nodes. The three primary traversal methods— in-order, pre-order, and post-order—each have unique use cases. By implementing these traversal techniques in Python, you can effectively manage and utilize BSTs for a variety of applications.