Python Heap Coding Practice Problems
Last Updated : 28 Jan, 2025
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This module helps us efficiently add, remove and access the smallest element in a collection. In these heapq coding practice problems, you’ll work on tasks to strengthen your understanding of how to use the heapq module for sorting, finding the minimum, or managing data dynamically in real-time applications.
Heap Practice Problems
Easy
- Height of Heap
- Minimum Cost of ropes
- Merge two binary Max heaps
- Maximum Diamonds
- Sum of elements between k1'th and k2'th smallest elements
- Min sum formed by digits
- Adding Array Elements
- Huffman Decoding-1
- Gadgets of Doraland
Medium
- k largest elements
- Heap Sort
- Is Binary Tree Heap
- Merge k Sorted Arrays
- Merge K sorted linked lists
- Binary Heap Operations
- Maximum Sum Combination
- Kth element in Matrix
- Game with String
- BST to max heap
- K Closest Points to Origin
- Design Twitter