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Q.How is queue data type different from deque data type?

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A queue is a linear data structure with strict FIFO (First-In-First-Out) access—insertion only at the rear and deletion only at the front—while a deque (double-ended queue) allows insertion and deletion at both ends, making it more flexible.

The fundamental difference lies in where operations are permitted.

Queue: Single-Ended Access

A queue models real-world waiting lines: the first person to join is the first to leave. This FIFO discipline is enforced by restricting operations to opposite ends.

Allowed operations:

  • Enqueue (insert): add an element at the rear only
  • Dequeue (delete): remove an element from the front only
  • Peek/Front: view the front element without removing it
  • isEmpty: check if the queue is empty

Think of a ticket counter: you join at the back of the line and leave from the front. You cannot jump the queue or leave from the middle.

from queue import Queue

q = Queue()
q.put(10)      # enqueue at rear
q.put(20)
q.put(30)

print(q.get()) # dequeue from front → 10
print(q.get()) # → 20
# Current state: front [30] rear

Output:

10
20

The queue now contains only 30 at the front.

Deque: Double-Ended Access

A deque (pronounced "deck") relaxes the restriction. You can insert or remove from either end, giving you four primary operations instead of two.

Allowed operations:

  • append / appendleft: insert at the right or left end
  • pop / popleft: remove from the right or left end
  • peek at either end
  • isEmpty

This flexibility means a deque can simulate both a queue (use append + popleft) and a stack (use append + pop).

from collections import deque

dq = deque()
dq.append(10)       # insert at right
dq.appendleft(5)    # insert at left
dq.append(20)       # insert at right

print(dq.popleft()) # remove from left → 5
print(dq.pop())     # remove from right → 20
# Current state: [10]

Output:

5
20

The deque now contains only 10.

Key Differences

AspectQueueDeque
InsertionRear onlyBoth ends
DeletionFront onlyBoth ends
DisciplineStrict FIFOFlexible (can be FIFO, LIFO, or mixed)
Use caseTask scheduling, BFS, print spoolingSliding window problems, palindrome checks, undo-redo systems
Python modulequeue.Queue (thread-safe) or collections.deque used as queuecollections.deque

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