Lecture 166:-Queue - Class 3

It appears you're asking about "Queue - Class 3" in the context of Data Structures and Algorithms (DSA). In DSA, a "Queue" typically refers to a fundamental data structure known as a queue, which follows the First-In-First-Out (FIFO) principle. It's used to manage a collection of elements where the first element added is the first one to be removed.

Here's a brief overview of how a queue works and its basic operations:

Enqueue: Adding an element to the back (rear) of the queue.

Dequeue: Removing and returning the front (first) element from the queue.

Front: Getting the element at the front of the queue without removing it.

Rear: Getting the element at the back of the queue without removing it.

IsEmpty: Checking if the queue is empty.

Size: Getting the number of elements in the queue.

Queues can be implemented using various data structures such as arrays or linked lists. Here's a simple implementation of a queue using a Python list:

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class Queue: def __init__(self): self.items = [] def enqueue(self, item): self.items.append(item) def dequeue(self): if not self.is_empty(): return self.items.pop(0) def front(self): if not self.is_empty(): return self.items[0] def rear(self): if not self.is_empty(): return self.items[-1] def is_empty(self): return len(self.items) == 0 def size(self): return len(self.items)

This is a basic implementation of a queue in Python. You can enqueue elements using the enqueue method, dequeue elements using the dequeue method, and perform other queue operations as well.

In "Queue - Class 3" of a DSA curriculum, you might delve deeper into more advanced topics related to queues, such as circular queues, priority queues, or applications of queues in solving algorithmic problems.

If you have specific questions or topics you'd like to explore further, please provide more details, and I'll be happy to assist you!