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.



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!

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