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What is Priority Queue?

A Priority Queue is a type of data structure used in computer science that manages a collection of elements with each element having a priority. Unlike a regular queue where the first element added is the first to be removed (FIFO - First In, First Out), a Priority Queue works based on the priority assigned to each element. Elements with maximum priority are dequeued (removed) before elements with lower priority, regardless of the order in which they were added.

For example, in operating systems, Priority Queues are used to manage processes where higher priority tasks (like system-critical operations) are executed before lower priority tasks (like background processes). This prioritization helps in efficiently managing and executing tasks based on their importance levels.

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Implementation of Priority Queue Using Binary Heap

import heapq class PriorityQueue: def __init__(self): self._queue = [] self._index = 0 def push(self, item, priority): heapq.heappush(self._queue, (-priority, self._index, item)) self._index += 1 def pop(self): return heapq.heappop(self._queue)[-1] # Example usage: pq = PriorityQueue() pq.push('Task 1', 3) pq.push('Task 2', 1) pq.push('Task 3', 2) print(pq.pop()) # Output: Task 2 print(pq.pop()) # Output: Task 3

Students learn how to manage tasks or elements based on priority levels. In this example, tasks with lower numeric priorities (higher actual priority) are dequeued first. The implementation demonstrates essential heap operations such as push (inserting an element with a priority) and pop (removing the element with the highest priority).

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