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A Binary Search Tree (BST) is a data structure where each node has at most two children, and the left child contains values smaller than the parent, while the right child contains values greater than the parent. Below is a Python implementation of a BST with basic operations like insertion, searching, and traversal.
Implementation
# Define a Node class for the BSTclass Node:def __init__(self, key):self.key = keyself.left = Noneself.right = None# Function to insert a new node into the BSTdef insert(root, key):if root is None:return Node(key)if key < root.key:root.left = insert(root.left, key)elif key > root.key:root.right = insert(root.right, key)return root# Function to search for a value in the BSTdef search(root, key):if root is None or root.key == key:return rootif key < root.key:return search(root.left, key)return search(root.right, key)# Inorder traversal of the BST (left -> root -> right)def inorder_traversal(root):if root:inorder_traversal(root.left)print(root.key, end=" ")inorder_traversal(root.right)# Example usageif __name__ == "__main__":# Create the BST and insert nodesbst_root = Nonebst_root = insert(bst_root, 50)bst_root = insert(bst_root, 30)bst_root = insert(bst_root, 70)bst_root = insert(bst_root, 20)bst_root = insert(bst_root, 40)bst_root = insert(bst_root, 60)bst_root = insert(bst_root, 80)# Perform an inorder traversalprint("Inorder Traversal of BST:")inorder_traversal(bst_root)# Search for a value in the BSTprint("\n\nSearching for 40 in BST:")result = search(bst_root, 40)print("Found" if result else "Not Found")Cóipeáilte!✕Cóipeáil Inorder Successor in Binary Search Tree - GeeksforGeeks
23 Iúil 2025 · We have discussed different methods for Inorder successor in a Binary Tree. These methods either work in O (n) time or expect parent …
Successor and Predecessor - Binary Search Tree (Python)
To make things easier when implementing the successor and predecessor functions, it is helpful to have auxiliary functions for finding the minimum and maximum node of a given BST or BST sub-tree.
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def pred(self, key):temp = self.rootprev = Noneif (temp.left is not None):temp = temp.left...Python Binary Search Trees - W3Schools
A Binary Search Tree (BST) is a type of Binary Tree data structure, where the following properties must be true for any node "X" in the tree: The X node's left child and all of its descendants (children, …
Find Inorder Predecessor and Successor in BST …
3 DFómh 2025 · Learn efficient algorithms to find inorder successor and predecessor in Binary Search Trees with Python, Java, and C++ implementations …
Binary-Search-Tree | Python code for the operations in BST.
Binary-Search-Tree Python code for the operations in BST. Different operations performed are: insert () find_successor () delete () inorder () preorder () postorder () search ()
Inorder predecessor and successor in BST
13 DFómh 2025 · Given the root of a Binary Search Tree (BST) and an integer key, find the predecessor and successor of the given key. The predecessor of a node …
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python - Binary Search Tree find_successor of inputNode - Code …
1 Feabh 2018 · In a nutshell, the helper code allows you to to build a Binary Search Tree. Jump to line 88 to see an example for how the helper code is used to test findInOrderSuccessor.
BST Successor Search - Exponent
In a Binary Search Tree (BST), an Inorder Successor of a node is defined as the node with the smallest key greater than the key of the input node (see examples …
Finding the Predecessor and Successor Node of a …
31 Lún 2020 · A Binary Search Tree (BST) is a commonly used data structure that can be used to search for an item in O (LogN) time. A BST has the following …
Find Successor in Binary Search Tree - devclass.io
5 Noll 2020 · Given a binary search tree and a node in it, find the in-order successor of that node in the BST. The successor of a node p is the node with the smallest key greater than p.val.
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