Testing functions isn't hard, but how do you test user input and output? In my last article, I started looking at "pytest", a framework for testing Python programs that's really changed the way I look ...

Flojoy wants to bring no-code Python testing to industrial instruments to test and capture data in an automated way.

Specialization: Data Science Foundations: Statistical InferenceInstructor: Dr. Jem Corcoran, Associate Professor in Applied MathematicsPrior knowledge ...

We tested this hypothesis using a knowledge activation approach to manipulate knowledge experimentally. The criterion task, which we designed to capture a fundamental requirement of a broad class of ...

During testing, Sakana found that its system began unexpectedly attempting to modify its own experiment code to extend the time it had to work on a problem.

The matrix-variate normal distribution is a popular model for high-dimensional transposable data because it decomposes the dependence structure of the random matrix into the Kronecker product of two ...

An excellent book on the subject is Brian Okken's Python Testing with pytest, published by Pragmatic Programmers. He also has many other resources, about pytest and code testing in general, here.