![]() ![]() The Node class represents a single node in a linked list. It provides a way to visualize the contents of the queue. It returns the value of the first item in the queue, giving a glimpse of what is currently at the front.ĭisplay: The display operation in a queue class is used to show the elements present in the queue. Peek: The peek operation allows accessing the item at the front of the queue without removing it. It provides information about the current size or length of the queue. Size: The size operation returns the number of elements currently present in the queue. It returns a boolean value indicating whether the queue is empty or not. Is Empty: This operation checks if the queue is empty, meaning it has no elements in it. It represents removing the first item that was added to the queue, following the FIFO principle. ![]() It represents inserting an element into the queue, and the newly added item becomes the last element in the queue.ĭequeue: The dequeue operation removes and returns the item at the front of the queue. SolutionĪ queue class typically provides methods to perform common operations on the queue.Įnqueue: The enqueue operation adds an item to the end of the queue. Additionally, the queue can be implemented using either an array (list) or a linked list in Python. This encapsulation promotes code modularity, reusability, and organization. Each instance maintains its own state, including the data it holds and its size. By encapsulating the behavior of a queue within a class, we can create multiple instances of the queue and manipulate them independently. The class represents the blueprint for creating individual queue objects. It is commonly used in programming and computer science to manage data in a specific order.Īn object-oriented approach allows us to encapsulate the queue's behavior and data within a class. In Python, we can implement a queue using OOP concepts. It behaves like a real-world queue or line where the first person who joins the queue is the first one to be served. In object-oriented programming (OOP), a queue is a data structure that follows the First-In-First-Out (FIFO) principle. By utilizing OOP concepts in Python, we can create and manipulate queues in a structured and efficient manner. In this article at OpenGenus, we will explore the implementation of a Queue in Python using the principles of Object-Oriented Programming (OOP).
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |