Python 3: Project-based Python, Algorithms, Data Structures - Project: Complete quote finder using hash table

The video tutorial covers the implementation of a binary search tree (BST) in Python, focusing on the insert method. It begins with an introduction to the node and BST classes, explaining the use of underscore methods as private. The tutorial then demonstrates inserting the root node and subsequent left and right children, highlighting the importance of recursion for handling various insertion scenarios. The video concludes with testing the insert method to ensure it functions correctly, setting the stage for future videos on inorder traversal.

Describe the process of inserting a node that is less than the current node.

How does the insert method handle the case when a right child already exists?

What is the expected output when inserting nodes F, C, and G in that order?

What will happen if you attempt to insert a node with a value that already exists in the tree?