pymc-labs / pymc-labs/CausalPy
add info about related packages and learning resources
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documentation
good first issue
- Dominant language
- Python
- Stars
- 1.2k
- Forks
- 115
- Avg merge
- 6d 1h
- Merged PRs (30d)
- 11
Description
Packages
- https://github.com/bernardodionisi/differences
- https://github.com/py-why/dowhy
- https://github.com/amaiya/causalnlp
Books
- [draft] https://alexdeng.github.io/causal/, https://alexdeng.github.io, Alex Deng
- [not yet available book] https://alxndr.io, Aleksander Molak
- [in progress at Manning] https://www.manning.com/books/causal-inference-for-data-science, Aleix Ruiz de Villa
- [in progress at Manning] https://www.manning.com/books/causal-machine-learning, Robert Ness
Top-tier blog posts
- https://emilyriederer.netlify.app/post/causal-design-patterns/, Emily Riederer
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Review the repository's documentation entry point and determine where related packages, books, and blog posts belong. Add the resources listed in the issue with consistent link and attribution formatting, then run the documentation checks or build to confirm the links render correctly.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- documentation
- Issue type
- Documentation
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100