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Introduction to Queues
A queue is a data structure that follows the first-in, first-out (FIFO) principle.

Queues are used to manage and process data in a sequential order.

Elements are added to the back of the queue and removed from the front.
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Main Operations
Enqueue: Adding an element to the back of the queue.

Dequeue: Removing the element from the front of the queue.

Peek: Viewing the element at the front without removing it.
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Real-life Examples
Waiting in line at a grocery store checkout.

Handling print jobs in a printer.

Processing messages in a messaging app.
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Implementation of Queues
Queues can be implemented using arrays or linked lists.

Arrays provide constant-time access to elements.

Linked lists allow dynamic resizing and efficient insertion/ removal.
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Types of Queues
Linear Queue: A simple queue with a fixed size.

Circular Queue: A queue that wraps around to the beginning when reaching the end.

Priority Queue: Assigns a priority value to each element and processes them accordingly.
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Time Complexity
Enqueue operation: O(1) - Constant time complexity.

Dequeue operation: O(1) - Constant time complexity.

Peek operation: O(1) - Constant time complexity.
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Use Cases
Task scheduling in operating systems.

Multi-threaded programming.

CPU scheduling algorithms.
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Advantages of Queues
Ensures fairness by following the FIFO principle.

Efficient for managing data in a sequential order.

Can be easily implemented and understood.
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Limitations of Queues
Fixed size queues have limited capacity.

Linear queues can cause memory wastage.

Priority queues can be complex to implement.
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Summary
Queues are a fundamental data structure with various real-life applications.

They follow the FIFO principle and are efficient for managing data in a sequential order.

Queues can be implemented using arrays or linked lists, and different types of queues exist for specific use cases.
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