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.

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 ...

For multiple hypothesis testing in genomics and other large-scale data analyses, the independent hypothesis weighting (IHW) approach uses data-driven P-value weight assignment to improve power ...

Community detection in networks is a key exploratory tool with applications in a diverse set of areas, ranging from finding communities in social and biological networks to identifying link farms in ...

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 ...

Hypothesis testing is a procedure for evaluating the strength of a hypothesis. The methodology depends on the data and the reason for the analysis.