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Python libraries for doing statistics

see draft here: https://docs.google.com/document/d/1a-Ohl3hs7w8AiOr85PxW0DZP1ofFK02sk55IEw0zQPE/edit?tab=t.0

Click here to run the notebook interactively, so you can play with the code examples.

Notebook setup


[notice] A new release of pip is available: 25.2 -> 25.3
[notice] To update, run: pip install --upgrade pip
Note: you may need to restart the kernel to use updated packages.
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Introduction

Data management with Pandas

Numerical computing with NumPy

Scientific computing with SciPy

Data visualization with Seaborn

Frequentist statistics with Statsmodels

Honorable mention: pingouin

Bayesian statistics with Bambi (based on PyMC)

Conclusion