QuantEcon / QuantEcon/lecture-python-intro
[pandas] Review recent pandas release notes
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- Dominant language
- Jupyter Notebook
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- 32
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Description
It is a good idea to iterate on our pandas lectures by reviewing the recent release notes for pandas>=2.0.
https://pandas.pydata.org/docs/whatsnew/index.html
- update lecture and/or syntax
- highlight any new features that may be useful to readers
- review lectures that contain
pandascode to see if we should make any updates.
Contributor guide
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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
Start with the pandas release notes at https://pandas.pydata.org/docs/whatsnew/index.html, focusing on changes since pandas 2.0. Review the lectures containing pandas code, update lecture content or syntax where needed, and highlight useful new features. Done means the relevant lectures reflect the review and updates are complete.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- pandas
- Domain
- documentation
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 42/100