To implement a
binary search tree (BST) in Python, I start by defining a Node class to represent each element in the tree, with attributes for the data, left child, and right child. Then, I create a BinarySearchTree class to handle insertion and traversal.
Here’s a basic example:
class Node:
def __init__(self, data):
self.data = data
self.left = None
self.right = None
class BinarySearchTree:
def __init__(self):
self.root = None
def insert(self, data):
if self.root is None:
self.root = Node(data)
else:
self._insert_recursive(self.root, data)
def _insert_recursive(self, node, data):
if data < node.data:
if node.left is None:
node.left = Node(data)
else:
self._insert_recursive(node.left, data)
else:
if node.right is None:
node.right = Node(data)
else:
self._insert_recursive(node.right, data)?
This code provides a starting point for a BST with insertion functionality. Each insertion checks if the data should go to the left or right subtree and places it accordingly, ensuring the BST’s properties are maintained.