Important facts associated with the Python Priority Queue

Essential things you need to know about the Python priority queue

Python offers the in-built implementation of the priority queue. But before that: do you know the Python Priority queue? and can get python homework help. Are you aware of the concept of priority queue? If your answer is no, the below-mentioned information is fruitful for you. So let’s pay attention to the concept of the Python Priority queue.

What does the term priority queue in Python stand for? 

A python priority queue is categorized as the advanced type of queue data structure. The priority queue works on sorting the element rather than dequeuing. Further, it dequeues all the elements as per the priorities.

The main purpose of using these kinds of queues is for handling scheduling problems. It provides precedence to every task including the high urgency. Along with it, the priority queue can be divided into two major types which are in the following ways:

Two major types of Priority queue:

  1.     Max Priority Queue 

The max priority queue revolves around arranging the data in descending order of priority.

  1.     Min Priority Queue 

The concept of a mini priority queue is all about arranging the data in ascending order as per the preference.

Factors associated with the Python priority queue:

Here comes the list of some following factors that play an essential role in the Python priority queue. 

  • When you insert the data in the priority queue, it is stored as per their priority.
  • If you eliminate the data from this queue, the data with minimum priority will be deleted.
  • In this way, the priority queue will not work as per the basic principle. The basic principle of the queue is FIFO. The term FIFO stands for the First in First out. It is because the priority queue is considered as the advanced queue that is utilized if you need to arrange the data according to the mentioned priority.

Apart from that, there is a difference between the Priority queue and the queue which you need to know. Here comes a list of some points that differentiate priority queue from queue.

  •   When it comes to the queue, the oldest element is considered for dequeuing first. While in the priority queue, the element of high priority is dequeued initially.
  •   If the elements pop out in the priority queue, the result comes in increasing order or in the decreasing order. On the other hand, if elements pop out in a simple queue, FIFO order of result is obtained.

These are two major factors that differentiate priority queue from simple queue.

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How to implement the Python Priority Queue? 

By reading the above-mentioned information you will get an idea about the python priority queue. Now it will be easier for you to gain knowledge about ways of implementing the priority queue in the Python priority. So, here comes the information that will resolve all of your queries regarding the implementation.

To implement the priority queue, you need to follow the below-mentioned algorithm steps:

  1.     Node- This class is the element that adds to the priority queue. You have the opportunity of changing the node as per your need.
  2.     Insert- For adding the new data element in this queue. Some conditions arise that include:
  • In the case of an empty priority queue, you need to insert the element.
  • When the queue is not empty, you will have to work on traversing the queue.
  • If the new code comes with maximum priority, you need to add the new node at the end.
  1. Delete- For removing the element of least priority
  2. Size- For figuring out the size of the priority queue
  3. Show- For printing all the priority queue elements

If you know all these algorithm steps, you can easily work on adding the priority queue in Python.

Applications of the Priority queue: 

There is an immense difference between the priority queue and the normal queue. The reason is that the outcome comes out as pet the priority. It is considered as the abstract data type which is mainly for capturing the idea of the container. The container has the elements that have “priorities”.

If the element has the maximum priority, it is highlighted on the front of the queue. When the element is deleted from it, other highest priority elements remain in the front. With the help of the Heap Data structure, you can implement the priority queue.

Apart from it, here comes the list of applications of the priority queue:

  • Graph Algorithm

The priority queue is also utilized in the field of graph algorithms such as Prim’s Minimum spanning trees.

  • Data compression 

Considered in Huffman codes mainly for compression of data

  • Artificial Intelligence 

A* the search algorithm works on finding the shortest paths in two vertices of a weighted graph. The priority queue is used for keeping the track of unexplored routes.

  • Operating system 

The priority queue is also used in the operating system mainly for loading the balance and for interrupt handling. The priority queues are also considered in process scheduling.

Final verdicts:

A priority queue is an advanced version of the basic queues. In this queue, the priority tasks are preferred as compared to the insertion order. There are different ways of implementation of the priority queue in python. So, keep all the above-mentioned information in your mind.


  • Does python consist of a priority queue?

Python comes with in-build implementation of priority queue data structure. This class requires maintaining order of elements and sorting mechanism.

  • Are Python queues thread-safe?

Queue class consists of thread-safe implementation that comes with a basic locking mechanism. As a result, producers and consumers can consider the same queue.

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