Having multiple priority queues enables the device to place delay-sensitive traffic If you have any questions please feel free to leave a comment below.The Multi-Level Priority Queues (MPQ) feature allows you to configure multiple priority queues for multiple traffic classesīy specifying a different priority level for each of the traffic classes in a single service policy map. We have also covered the various operations on the Queue, such as enqueue, dequeue, peek, and size. We have discussed the Python Queue and its various implementations in Python, including the Queue, Double-ended Queue, Circular Queue, and Priority Queue. Network processing: Network processing applications use queues to manage incoming requests and outgoing responses.Message queues: Different parts of a distributed system can use queues to manage the flow of messages between them.Event handling: A program can use queues to handle events and ensure that it processes them in the correct order.Job scheduling: We can use queues to manage tasks that we schedule to execute in the future.In Python, you can use queues for different purposes, below are a few use cases where you would like to use the queue data structure. Some commonly used methods to check the status of a queue include Peek, Size, Empty, and Full. # Remove the first element from the queue We use this method when we want to remove elements from the queue in the order in which we added them. The enqueue is an operation in a queue data structure that adds an element to the rear or tail of the queue.ĭequeue is a method that removes and returns an element from the front of the queue. Various operations can be performed on a Queue in Python, such as adding elements to the back of the queue, removing elements from the front of the queue, and checking the size of the queue. The queue will retrieve the items with the highest priority first. It allows the items to be added to the queue in any order, and they will be sorted and retrieved based on their priority value. It provides the PriorityQueue class in Python. Priority Queue in Python can be implemented using the queue module. # Check the front and rear elements of the queue after dequeue # Remove elements from the circular queue # Check the front and rear elements of the queue # This should return False since the queue is full # Create a circular queue with capacity of 4 Let’s see how we can use this Circular queue in our Program: However, you can implement a circular queue using the built-in deque class from the collections module.īut let’s see how we can create a Custom class for our Circular Queue: In Python, there is no built-in implementation of a circular queue. The module provides a class called deque, which allows you to create a double-ended queue of any length. # The queue now contains only one element (3)ĭouble-ended queue, also known as deque, can be implemented in Python using the collections module. # Remove elements from the front of the queue In this approach, we can use a list to represent the queue and use its built-in methods such as append() to add elements to the back of the queue and pop() to remove elements from the front of the queue. Implementing a queue using a list in Python is fairly simple. Now you can use this Queue in the following way: In Python, a queue can be implemented using a class with methods for enqueue, dequeue, size, and isEmpty. There are two common ways to implement a queue: using a list or using the queue class from the built-in queue module. Print("Processing task:", task, "with priority:", priority) # Add tasks to the priority queue with their priority My_priority_queue = queue.PriorityQueue() Python’s queue module provides an implementation of the Priority Queue data structure. The element with the highest priority is dequeued first, followed by the element with the second highest priority, and so on. # The two items are removed from the queueĪ Priority Queue is a special type of queue where each element has a priority assigned to it, and the elements are dequeued in order of their priority. # The oldest item is removed from the queue You can dequeue elements using the front pointer and enqueue elements using the rear pointer in a circular queue. In a circular queue, there are two pointers, front and rear. This type of queue is useful when we want to store data in a circular manner and treat the data structure as a circular list. In other words, a circular queue wraps around and reuses the space that the first element took up after the last element. Print(my_deque) # deque()Ĭircular Queue is a type of queue in which the last element is connected to the first element to make a circular data structure. # Remove a item from the back of the deque # Remove a item from the front of the deque # Add a new item to the back of the deque # Add a new item to the front of the deque
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