A/B Testing in Python: Power Analysis, Frequentist and Bayesian Methods with SciPy and PyMC
Learn how to run A/B tests in Python from start to finish — power analysis with statsmodels, frequentist hypothesis testing with SciPy 1.17, and Bayesian analysis with PyMC 5.28. Includes working code, decision frameworks, and common pitfalls to avoid.