Python 3: Project-based Python, Algorithms, Data Structures - Build a custom linked list

The video tutorial explains the search method for a binary search tree, focusing on its recursive nature and performance. It demonstrates searching for values in both balanced and imbalanced trees, highlighting the efficiency of the search process. The tutorial provides a detailed implementation of the search method, followed by testing with various values to ensure accuracy. The video concludes with a preview of the next topic, which is deleting a node from the tree.

What is the time complexity of searching in a balanced binary search tree?

• O(1)

• O(n^2)

• O(log n)

• O(n)

When searching for a value in a binary search tree, what happens after comparing the value with the root?

• The search stops immediately.

• The left subtree is always checked.

• The entire tree is traversed.

• Half of the tree is eliminated from the search.

In the recursive search method, what is the first step when the current node is null?

• Return 'value found in tree'.

• Search the right subtree.

• Continue searching the left subtree.

• Return 'value not found in tree'.

What does the search method return if the key is equal to the current node's data?

• Search the left subtree

• Value found in tree

• Continue searching

• Value not found in tree

What happens if the left child of a node does not exist during the search?

• The search stops immediately.

• The method returns 'value not found in tree'.

• The method returns 'value found in tree'.

• The search continues in the right subtree.

Which value is confirmed to be found in the tree during testing?

• M

• Z

• E

• A

What is the expected output when searching for a non-existing value like 'Z'?

• Search continues indefinitely

• Error in search method

• Value not found in tree

• Value found in tree