Circular Queue (Ring Buffer)
A fixed-size ring buffer using modulo indexing (tail + 1) % k to eliminate unused memory slots after dequeues.
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Reference implementation (Python)
class MyCircularQueue:
def __init__(self, k: int):
self.k = k
self.queue = [None] * k
self.head = self.tail = -1
def enQueue(self, value: int) -> bool:
if (self.tail + 1) % self.k == self.head: return False
if self.head == -1: self.head = 0
self.tail = (self.tail + 1) % self.k
self.queue[self.tail] = value
return TrueEmbed this visualization
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<iframe src="/embed/circular-queue" width="100%" height="380" style="border:1px solid #e6e8ec;border-radius:14px" loading="lazy" title="3D algorithm visualization by CodeWithMunnaX"></iframe>Frequently asked
What is the time and space complexity of Circular Queue (Ring Buffer)?
Circular Queue (Ring Buffer) runs in O(1) time and O(k) auxiliary space.
Is the Circular Queue (Ring Buffer) visualizer free?
The core 3D visualizer, Web Audio chimes and step intuition are free. A one-time ₹49 Pro Pass unlocks advanced algorithms, large custom arrays, Battle Arena and reel export.
Which companies ask Circular Queue (Ring Buffer) in interviews?
Circular Queue (Ring Buffer) shows up in interviews at Meta, Amazon.
How does the 3D visualization of Circular Queue (Ring Buffer) work?
Each array value becomes a 3D pillar whose height maps to its value. Comparisons glow amber, swaps flash red, and settled elements lock green while a floating pointer badge tracks the active index — synchronized line-by-line with the Python code.