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, ...
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Learn how to write cleaner Python with enumerate, zip, generator expressions, itertools, and functional tools for readable, memory-efficient data processing.