Causal Inference in Python: DoWhy, EconML, and CausalML Compared (2026)
A 2026 guide to causal inference in Python: when to pick DoWhy, EconML, or CausalML, with runnable code, refutation tests, and the pitfalls that bite real projects.
Statistical Analysis Articles
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.
Hypothesis Testing in Python: t-Tests, Chi-Square, ANOVA, and Non-Parametric Tests with SciPy
A practical, code-driven guide to hypothesis testing in Python using SciPy 1.17. Covers t-tests, chi-square, ANOVA, Mann-Whitney U, and Kruskal-Wallis with working examples, assumption checking, and a decision framework for choosing the right test.