A hands-on introduction to hypothesis testing in Python. The guide notebook walks through the full testing workflow (hypotheses, test statistic, p-value, decision) for data following normal, binomial, ...

Backbone extraction algorithms for complex networks, built on NetworkX. This library provides about 110 functions across 14 modules for extracting backbone structures from weighted, unweighted, ...

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