Queue it Up: Python's Data Handling at its Best.

Queue as FIFO use case.


In computer science and programming a queue is an abstract data structure - (ADT) which is a collection of items that are maintained in a sequence and can be modified by the addition of elements at one end of the sequence and the removal of elements from the other end of the sequence.

It is similar to the queue in a supermarket, where the first person entering the queue is the first person who get served. Thus the queue follows the FIFO principle (First In First Out) - the element that goes in first is the element that comes out first.

Queue Data Structure.
Queue Data Structure meme.

Python Knowledge Base: Make coding great again.
- Updated: 2024-11-20 by Andrey BRATUS, Senior Data Analyst.




    The Queue has following operations and sptates:
    - Enqueue: Add an item to the end.
    - Dequeue: Remove an item from the front.
    - IsEmpty: Check if the queue is empty.
    - IsFull: Check if the queue is full.
    - Peek: Get the value of the front of the queue without removing it.


  1. Queue Data Structure Python code:


  2. 
    class Queue:
    
        def __init__(self):
            self.queue = []
    
        # Adding element
        def enqueue(self, item):
            self.queue.append(item)
    
        # Removing element
        def dequeue(self):
            if len(self.queue) < 1:
                return None
            return self.queue.pop(0)
    
        # Displaying the queue
        def display(self):
            print(self.queue)
    
        def size(self):
            return len(self.queue)
    
       
    print("Empty queue:")    
    q = Queue()
    q.display()    
    print("Adding elements:")
    q.enqueue(1)
    q.enqueue(2)
    q.enqueue(3)
    q.enqueue(4)
    q.enqueue(5)
    q.enqueue(6)
    q.enqueue(7)
    q.enqueue(8)
    q.enqueue(9)
    q.display()
    print("Removing element:")
    q.dequeue()
    q.display()
    print("Removing element:")
    q.dequeue()
    q.display()
    print("Removing element:")
    q.dequeue()
    q.display()
    

  3. Queue Data Structure Python code output:


  4. OUT:
    Empty queue:
    []
    Adding elements:
    [1, 2, 3, 4, 5, 6, 7, 8, 9]
    Removing element:
    [2, 3, 4, 5, 6, 7, 8, 9]
    Removing element:
    [3, 4, 5, 6, 7, 8, 9]
    Removing element:
    [4, 5, 6, 7, 8, 9]





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