Max Sum Contiguous Subarray
Kadane's algorithm finds maximum contiguous subarray sum in linear time.
Live loop — open the studio to scrub, add your own array, or race it in Battle Arena.
Asked in interviews at
Reference implementation (Python)
def max_subarray(arr):
max_so_far = curr = arr[0]
for x in arr[1:]:
curr = max(x, curr + x)
max_so_far = max(max_so_far, curr)
return max_so_farEmbed this visualization
Drop a live, looping Max Sum Contiguous Subarray canvas into a blog post or course page.
<iframe src="/embed/max-contiguous-subarray" 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 Max Sum Contiguous Subarray?
Max Sum Contiguous Subarray runs in O(n) time and O(1) auxiliary space.
Is the Max Sum Contiguous Subarray 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 Max Sum Contiguous Subarray in interviews?
Max Sum Contiguous Subarray shows up in interviews at Twitter, Meta, Snapchat.
How does the 3D visualization of Max Sum Contiguous Subarray 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.