scipy.stats, SciPy Developers, 2023 - The official reference for statistical functions within the SciPy library, offering detailed descriptions, parameters, and examples for all hypothesis tests discussed in the section.
An Introduction to Statistical Learning: With Applications in R, Gareth James, Daniela Witten, Trevor Hastie, Rob Tibshirani, 2021 (Springer)DOI: 10.1007/978-1-0716-1418-1 - Provides a comprehensive theoretical foundation for hypothesis testing, t-tests, Chi-squared tests, and ANOVA, essential for understanding the statistical principles behind the Python implementations.
Practical Statistics for Data Scientists: 50 Essential Concepts, Peter Bruce, Andrew Bruce, and Peter Gedeck, 2020 (O'Reilly Media) - Offers practical guidance on applying statistical methods, including hypothesis testing with Python, suitable for data science contexts and machine learning applications.