matheusfacure/python-causality-handbook resource

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3443 stars · 615 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

An open online textbook, 'Causal Inference for the Brave and True', teaching causal inference and impact estimation in Python with Jupyter notebooks. It covers potential outcomes, causal graphs, and CATE models in a rigorous yet light-hearted style.

Use cases

• learn causal inference in python
• understand impact estimation methods
• study econometrics with jupyter notebooks
• learn about causal graphs and potential outcomes
• estimate heterogeneous treatment effects with CATE models
• self-study causal inference for data science

When to choose

• you want a free, rigorous introduction to causal inference with Python code
• you prefer learning through runnable Jupyter notebooks
• you need both foundational theory and industry applications like CATE estimation

When to avoid

• you need production-ready causal inference software rather than educational material
• you want a formal textbook without informal tone and memes
• you need a language other than Python

Facets

learning-resource · maturity active

data-science machine-learning data-science education tutorials python cross-platform causal-inference econometrics jupyter-notebook impact-estimation open-textbook sensitivity-analysis statistics

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