gedeck/practical-statistics-for-data-scientists resource

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3368 stars · 1986 forks observed · 2026-08-28

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

Companion code repository of Jupyter notebooks for the O'Reilly book 'Practical Statistics for Data Scientists', covering 50+ essential statistical concepts using R and Python. Note that the repo is no longer maintained in favor of a new repository for the third edition.

Use cases

• learn practical statistics for data science
• run book examples in python and r notebooks
• study statistical concepts like regression and classification
• find code for statistical machine learning examples
• supplement a statistics course with hands-on notebooks

When to choose

• you are reading the book and want runnable code
• you prefer learning statistics through executable notebooks
• you want examples in both R and Python

When to avoid

• you need actively maintained code or support
• you want the third edition content - use the successor repository
• you need production statistical software rather than educational examples

Facets

learning-resource · maturity maintenance

data-science math developer-tools data-science tutorials education python jvm cross-platform jupyter-notebooks statistics r oreilly-book companion-code

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