In this article we will see how to perform Min-Heap and Max-Heap using Priority Queue. Queue is also an abstract data type or a linear data structure, in which the first element is inserted from one end called REAR, and the deletion of existing element takes place from … The complexity of these operation depends upon the underlying data structure being used. A priority queue can be implemented using data structures like arrays, linked lists, or heaps. Unlike ordinary queues, a priority queue allows to insert an object with priority so the highest priority objects can be drawn first in FIFO (First in first out) manner.Once objects with highest priority are fetched, objects with second highest priority can be fetched. Queue is an abstract data type which can be implemented as a linear or circular list. Every item has a priority associated with it. Dequeue (Double Ended Queue) 1. Introduction. Brief: A priority queue is an abstract data type where each element has a “priority” assigned to it. It has a front and rear. There are four types of Queue: 1. Priority Queue is an extension of the queue … Peek: Peek operation reads the item with the highest priority. Circular Queue 3. Priority Queue is its built-in implementation in Java. Priority queue data structure is an abstract data type that provides a way to maintain a set of elements, each with an associated value called key.. So the element with the higher priority is served before the other elements. DeQueue: DeQueue operation removes the item with the highest priority from the queue. The queue (data structure) uses FIFO but the priority queue doesn’t remove it’s elements on basis of their arrivals. Let’s jump deeper and explore some of the operation on Python priority queue. So, now as you’ve learnt the basic definition and terms of Priority queue. 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