Heap and priority queue in Python
Practice this questionWANT TO UNDERSTAND THE CONCEPT FIRST?Learn Heap and priority queue in Python
Built-in heapq
import heapq
heap = [5, 3, 9]
heapq.heapify(heap)
heapq.heappush(heap, 1)
print(heap[0])Problems to practice
- Kth largest element
- Top K frequent elements
- Merge K sorted lists
- Median in stream
Interview guidance
heapq gives us a min-heap by default. For max-heap, push negatives.
Adapted from 18_DSA_PYTHON.md · “8. Heap and priority queue in Python”. Code examples are study fragments. Difficulty and core labels are editorial estimates; version-specific behavior should be checked against your project.