Priority Queue (Min-Heap)
Serves highest priority (minimum value) element first with O(log n) insertions and extractions.
Live loop — open the studio to scrub, add your own array, or race it in Battle Arena.
Asked in interviews at
Reference implementation (Python)
import heapq
pq = []
heapq.heappush(pq, 35)
heapq.heappush(pq, 12)
min_elem = heapq.heappop(pq) # returns 12Embed this visualization
Drop a live, looping Priority Queue (Min-Heap) canvas into a blog post or course page.
<iframe src="/embed/priority-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 Priority Queue (Min-Heap)?
Priority Queue (Min-Heap) runs in O(log n) time and O(n) auxiliary space.
Is the Priority Queue (Min-Heap) 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 Priority Queue (Min-Heap) in interviews?
Priority Queue (Min-Heap) shows up in interviews at Amazon, Google, Uber.
How does the 3D visualization of Priority Queue (Min-Heap) 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.