Unit testing your code's performance, part 1: Big-O scaling
Read OriginalThis technical article introduces the concept of unit testing for code performance, focusing on verifying Big-O algorithmic scalability. It explains why testing scaling is critical, provides a refresher on Big-O notation, and demonstrates how to use the Python bigO library to empirically test and ensure your algorithms scale as expected.
Comments
No comments yet
Be the first to share your thoughts!
Browser Extension
Get instant access to AllDevBlogs from your browser
Top of the Week
1
The Beautiful Web
Jens Oliver Meiert
•
2 votes
2
Container queries are rad AF!
Chris Ferdinandi
•
2 votes
3
Wagon’s algorithm in Python
John D. Cook
•
1 votes
4
An example conversation with Claude Code
Dumm Zeuch
•
1 votes
5
Top picks — 2026 January
Paweł Grzybek
•
1 votes
6
In Praise of –dry-run
Henrik Warne
•
1 votes
7
Deep Learning is Powerful Because It Makes Hard Things Easy - Reflections 10 Years On
Ferenc Huszár
•
1 votes
8
Vibe coding your first iOS app
William Denniss
•
1 votes
9
AGI, ASI, A*I – Do we have all we need to get there?
John D. Cook
•
1 votes