What is the time complexity of different binary search tree operations?

Can you explain the time complexity of insert, delete, and search operations in a binary search tree?

Sure! In a balanced binary search tree, the time complexity for insert, delete, and search operations is O(log n). However, in an unbalanced tree, it can degrade to O(n) in the worst case.

What factors affect the balance of a binary search tree?

The balance of a binary search tree can be affected by the order of insertions and deletions. If elements are added in a sorted order, the tree can become unbalanced.

How do self-balancing trees like AVL or Red-Black trees improve performance?

Self-balancing trees like AVL and Red-Black trees maintain a balanced structure, ensuring that the height remains logarithmic, which keeps operations efficient at O(log n).

Can you give an example of how to implement a binary search tree in Python?

Certainly! Here's a simple implementation of a binary search tree in Python... [code snippet]