PYTHON PRIORITY QUEUE DELETE ELEMENT CODE

One real-time example is traffic lights based on the traffic congestion on road can be implemented using a Priority queue. Priority queues are also used in Huffman coding algorithm for data compression. In the Operating system, Priority queues are used for load balancing and interrupt handling. We can also use the Priority Queue for sorting Heap data structures. We can implement Prim's algorithm and Dijkstra's Shortest path algorithm using priority queues. What are the applications of Priority Queue?

PYTHON PRIORITY QUEUE DELETE ELEMENT CODE

NOTE: In the code above we haven't handled the duplicate node check, you should try to add that yourself. NOTE: We can also use the heapq library to implement Priority Queue(heap) in python. We will be using Python List for implementing queue data structure. Show: To print all the priority queue elements. Size: To check the size of the priority queue, in other words, count the number of elements in the queue and return it. If the new node has the highest priority, then we will add the new node at the end.ĭelete: To remove the element with the least priority. If the priority queue is not empty, we will traverse the queue, comparing the priorities of the existing nodes with the new node, and we will add the new node before the node with a priority greater than the new node. If the priority queue is empty, we will insert the element into it. Insert: To add a new data element( Node) in the priority queue. You can modify the Node class as per your requirements. Node: The Node class will be the element inserted in the priority queue. So now we will design our very own minimum priority queue using python list and Object Oriented concept.

Yes, it won't! Because a priority queue is an advanced queue used when we have to arrange and manipulate data as per the given priority. When we remove data from a priority queue(min), the data at the top, which will be the data with the least priority, will get removed.īut, this way priority queue will not be following the basic principle of a queue, First in First Out(FIFO). In the priority queue, data, when inserted, is stored based on its priority. In a priority queue, the following factors come into play: Min Priority Queue: Which arranges the data as per ascending order of their priority. Max Priority Queue: Which arranges the data as per descending order of their priority.

Hence the minimum value is always on the top. If you are a Youtuber, and you want to keep a track of the video published by you which has the least number of views, then a priority queue or a min-heap can help you.Ī heap is a binary tree in which the value of every parent node is less than its child nodes. Before you go ahead with understanding what a Priority Queue is, we recommend you to first understand the concept and implementation of a Queue and Circular Queue.

Python priority queue delete element