Complete Summary and Solutions for Queue – NCERT Class XII Computer Science, Chapter 4 – Introduction, Operations, Implementation, Deque, Applications, Questions, Answers

Detailed summary and explanation of Chapter 4 'Queue' from the Computer Science textbook for Class XII, covering queue data structure concepts, FIFO principle, operations such as enqueue and dequeue, implementation using Python lists, introduction to deque, its operations, and applications including practical code examples—along with all NCERT questions, answers, and exercises for comprehensive understanding.

Updated: 5 days ago

Categories: NCERT, Class XII, Computer Science, Chapter 4, Queue, Deque, Data Structures, Summary, Questions, Answers, Programming, Comprehension
Tags: Queue, Deque, FIFO, Enqueue, Dequeue, Data Structures, Python, NCERT, Class 12, Computer Science, Summary, Explanation, Questions, Answers, Programming, Chapter 4
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Queue and Deque in Python - Class 12 Computer Science Chapter 4 Ultimate Study Guide 2025

Queue and Deque in Python

Chapter 4: Computer Science - Ultimate Study Guide | NCERT Class 12 Notes, Questions, Code Examples & Quiz 2025

Full Chapter Summary & Detailed Notes - Queue and Deque in Python Class 12 NCERT

Overview & Key Concepts

  • Chapter Goal: Understand Queue (FIFO linear DS), operations (enqueue/dequeue), Python list impl, Deque (double-ended), apps (palindrome). Exam Focus: Program 4-1/4-2, Fig 4.3/4.5-4.6, Algorithm 4.1; 2025 Updates: Efficiency in lists vs collections.deque. Fun Fact: Tim Berners-Lee quote on democratic web ties to FIFO fairness. Core Idea: Ordered access for real-life queuing; from bank lines to OS jobs. Real-World: Print queues, task scheduling. Expanded: All subtopics point-wise with evidence (e.g., Fig 4.3 stages), examples (e.g., bank sim), debates (e.g., list vs array impl).
  • Wider Scope: From basic FIFO to deque flexibility; sources: Programs (4-1/4-2), figures (4.1-4.6), exercises.
  • Expanded Content: Include modern aspects like from collections import deque for O(1) ops; point-wise for recall; add 2025 relevance like concurrent queues in threading.

Introduction to Queue

  • Overview: Linear DS, FIFO (First-In-First-Out/FCFS); elements added rear (enqueue), removed front (dequeue). Ex: Bank queue (Fig 4.1), petrol pump (Fig 4.2).
  • FIFO Principle: Longest-waiting out first; Rear=TAIL, Front=HEAD.
  • Real-Life Apps: Train tickets (WL confirmation), IVRS calls, single-lane roads/tolls.
  • CS Apps: Web-server requests (50 concurrent), OS jobs (multitasking FIFO), print queues (shared printer).
  • Expanded: Evidence: Think/Reflect on priority queues; debates: FIFO vs priority; real: Post-2020 cloud task queues.
Conceptual Diagram: Queue Structure

Front ← [Elements] → Rear; Enqueue → Rear, Dequeue ← Front. Ties to Fig 4.3 stages.

Why This Guide Stands Out

Comprehensive: All subtopics point-wise, program integrations; 2025 with collections.deque, processes analyzed for real code.

Operations on Queue

  • Enqueue: Insert rear; overflow if full.
  • Dequeue: Remove front; underflow if empty.
  • Supporting: IsEmpty (avoid underflow), Peek (view front), IsFull (avoid overflow), Size (len).
  • Stages: Fig 4.3: enqueue(z/x/c) → Z X C; dequeue → X C; etc.
  • Expanded: Evidence: Python list dynamic (no IsFull); real: Bank sim avoids underflow.

Implementation of Queue using Python

  • Using List: myQueue = []; append() for enqueue (rear), pop(0) for dequeue (front).
  • Functions: enqueue (append), isEmpty (len==0), dequeue (pop(0) if not empty), size (len), peek ([0] if not empty).
  • Program 4-1: Bank queue: Enqueue P1/P2, dequeue P1, size=1, enqueue P3/P4/P5, dequeues P2-P5; underflow msg.
  • Activities: Avoid None print; traverse/print queue.
  • Expanded: Evidence: Output with P1-P5; debates: List O(n) dequeue vs efficient impl.

Quick Code: Basic Queue

myQueue = []
def enqueue(q, e): q.append(e)
def dequeue(q): return q.pop(0) if q else "Empty"
enqueue(myQueue, 'A'); print(dequeue(myQueue))  # A

Output: A

Introduction to Deque

  • Overview: Double-Ended Queue; insert/delete from front/rear (Fig 4.4). Pronounced "deck"; implements stack/queue.
  • Apps: Train counter (re-join front), toll booths (shift queues); CS: Browser history (LIFO URLs), Undo/Redo, palindrome check (Algorithm 4.1).
  • Activities: Same end ops=Stack; opposite=Queue.
  • Expanded: Evidence: Palindrome "madam" via insertrear/delete both ends (Fig 4.5-4.6).

Operations on Deque

  • InsertFront/Rear: Add front/rear (insert(0)/append).
  • DeleteFront/Rear: Remove front/rear (pop(0)/pop).
  • Supporting: IsEmpty, PeekFront/Rear ([0]/[-1]), Size.
  • Algorithm 4.1: Palindrome: Insert chars rear → Match/delete both ends.
  • Expanded: Evidence: Steps 1-6 for "madam".

Implementation of Deque using Python

  • Using List: myDeque = []; insert(0) front, append rear; pop(0) delete front, pop rear.
  • Functions: insertFront (insert(0)), insertRear (append), deletionFront (pop(0)), deletionRear (pop), getFront ([0]), getRear ([-1]), isEmpty.
  • Program 4-2: Choice 1 (queue mode): insertRear 23/45, getFront 23, deleteFront 23/45; underflow. Choice 2 (stack-like): insertFront 34/56, deleteRear 34/56.
  • Expanded: Evidence: Outputs for modes; note O(n) for front ops in lists.

Exam Code Studies

Program 4-1 bank; 4-2 deque modes; Algorithm 4.1 palindrome.

Summary & Exercise

  • Key Takeaways: Queue FIFO linear; Deque flexible; Python list impl with append/pop; apps from daily to CS.
  • Exercise Tease: Blanks on ops; compare stack/queue; status traces; palindrome code.