Python Heap Coding Practice Problems
Last Updated :
10 Sep, 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 heapq module for sorting, finding the minimum or managing data dynamically in real-time applications.
Example Programs
- Heapify
- Heappop
- NLargest
- NSmallest
- HeapReplace
- Heap Merge
- HeapPushPop
- Heap Sort
- Heap and Priority Queue with heapq module
- Min Heap
- Max Heap
Practice Problems
- Height of Heap
- Minimum Cost of ropes
- Merge two binary Max heaps
- Maximum Diamonds
- 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
- Find median in a stream
- Minimum Cost Path
- Huffman Encoding
- Smallest range in K lists
- Meeting Rooms
