Differences between PriorityQueue and heapq

  • Python queue PriorityQueue is thread-safe, but heapq doesn’t guarantee thread safety.
  • PriorityQueue implements locking to ensure thread safety, thus it is slower than heapq.
  • heapq heapifies the original list inplace, while using PriorityQueue it doesn’t modify the original data.
  • heapq works on the principle of binary heap, while PriorityQueue works on the basis of queue data structure and can be assigned a priority.
  • It is safe to use the same PriorityQueue across multiple threads and do modifications, but in case of heapq it can lead to Data Race condition, since there are no locks while manipulating the queue.

Difference Between heapq and PriorityQueue in Python

In this article, we are going to see the difference between heapq and PriorityQueue in Python.

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Differences between PriorityQueue and heapq

Python queue PriorityQueue is thread-safe, but heapq doesn’t guarantee thread safety. PriorityQueue implements locking to ensure thread safety, thus it is slower than heapq. heapq heapifies the original list inplace, while using PriorityQueue it doesn’t modify the original data. heapq works on the principle of binary heap, while PriorityQueue works on the basis of queue data structure and can be assigned a priority. It is safe to use the same PriorityQueue across multiple threads and do modifications, but in case of heapq it can lead to Data Race condition, since there are no locks while manipulating the queue....

Syntax of Using heapq and PriorityQueue

Example 1: Using heapq...

Time Comparison of heapq vs PriorityQueue

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