Understanding Queues in Data Structures

Aug 23, 2024

Lecture on Queues

Introduction to Queues

  • Queues are an elementary data structure.
  • Represent a dynamic set of data.
  • Operations include insertion and deletion.
  • Follows the FIFO (First In First Out) principle.
    • Insert Method: Called enqueue.
    • Delete Method: Called dequeue, takes no arguments.

Example of a Queue

  • Representation of a queue involves marking the front and the back.
  • Implemented in Python using collections.deque (a doubly linked list).
    • Allows enqueue and dequeue in constant time.
  • Elements inserted at the back, removed from the front.
    • Start with an empty queue.
    • Enqueue element 1 (added at the back, hence first in line).
    • Enqueue elements 2 and 3 (added at the back behind 1).
    • Dequeue removes element 1 (the first element added).

Python Implementation

  • Use collections.deque as a queue.
  • Define enqueue and dequeue methods.
    • Enqueue: Append the element to the end.
    • Dequeue: Use pop left to remove the front element.
    • Operations in constant time due to doubly linked list structure.

Practical Uses of Queues

  • Extensively used in operating systems for CPU and disk scheduling.
  • Example: Adding a song to a queue in Spotify.
  • Implement breadth-first search in various algorithms.

Conclusion

  • Queues are fundamental in computer science with numerous applications.
  • Further learning encouraged through other videos.
  • Viewer engagement through likes and subscriptions.