Learn

We’re going to implement a min-heap in Python. Min-heaps efficiently keep track of the minimum value in a dataset, even as we add and remove elements.

Min-heaps are nearly identical to a max-heap, just with the comparisons reversed. It’s a two for one lesson!

Heaps enable solutions for complex problems such as finding the shortest path (Dijkstra’s Algorithm) or efficiently sorting a dataset (heapsort).

They’re an essential tool for confidently navigating some of the difficult questions posed in a technical interview.

By understanding the operations of a heap, you will have made a valuable addition to your problem-solving toolkit.

Instructions

1.

The code in script.py creates a min-heap one element at a time from a random collection of numbers.

Run the code a few times to see the min-heap operations printed to the screen.

Click “Next” when you’re ready to get started!

Sign up to start coding

Mini Info Outline Icon
By signing up for Codecademy, you agree to Codecademy's Terms of Service & Privacy Policy.
Already have an account?