Queue Operations (FIFO)
First-In-First-Out horizontal conveyor where elements enqueue at REAR and dequeue from FRONT.
Live loop — open the studio to scrub, add your own array, or race it in Battle Arena.
Asked in interviews at
Reference implementation (Python)
class Queue:
def __init__(self):
self.items = []
def enqueue(self, val):
self.items.append(val)
def dequeue(self):
return self.items.pop(0)
def peek(self):
return self.items[0]Embed this visualization
Drop a live, looping Queue Operations (FIFO) canvas into a blog post or course page.
<iframe src="/embed/queue-operations" 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 Queue Operations (FIFO)?
Queue Operations (FIFO) runs in O(1) time and O(n) auxiliary space.
Is the Queue Operations (FIFO) 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 Queue Operations (FIFO) in interviews?
Queue Operations (FIFO) shows up in interviews at Microsoft, Amazon.
How does the 3D visualization of Queue Operations (FIFO) 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.