Practice Binary Tree (36.3.1) - Priority queues and heaps - Part A - Data Structures and Algorithms in Python
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Binary tree

Practice - Binary tree

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is a binary tree?

💡 Hint: Think about the structure of trees and nodes.

Question 2 Easy

What operation is used to add a new element to a heap?

💡 Hint: Focus on how heaps manage elements.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the maximum number of children a node can have in a binary tree?

Zero
One
Two
Three

💡 Hint: Recall the term 'binary' related to two.

Question 2

True or False: In a max heap, the root node is always the smallest element.

True
False

💡 Hint: Think about the definition of 'max' in max heap.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given a binary tree representation of a heap, demonstrate the insertion of a new node and highlight all necessary steps.

💡 Hint: Keep track of the heap property as you navigate upwards.

Challenge 2 Hard

Compare the operations of a priority queue implemented via a simple list versus a binary heap. Discuss the time complexity for both insertion and deletion.

💡 Hint: Think about how maintaining order affects performance.

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