Cross-language comparisons for dataframe manipulation
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Assessment
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Newbie friendliness
- 65/100
Research direction
Start with the dataframes concept page and the about.md file mentioned in the issue. Compare the existing R/dplyr material with the proposed cross-language table, then confirm the intended scope before editing. Done means the agreed comparison is restored or added to the concept documentation without expanding beyond the settled content.
Written by the indexing model from the issue text.
Description
In the dataframes concept, there was an original intention to include comparisons between the R/dplyr content and Python/pandas and SQL. In the rush to get the syllabus launched, this aspect was deleted from the about.md.
After playing about in the last couple of days, here is a not-totally-serious suggestion for what a more thorough comparison would look like.
| R | Python | Julia | |
|---|---|---|---|
| data.frame | ✔️ | ||
| tibble | ✔️ | ||
| pandas | ✔️ | ||
| DataFrames | ✔️ | ||
| Polars | ✔️ | ✔️ | ✔️ |
| DuckDB | ✔️ | ✔️ | ✔️ |
| PostgreSQL | ✔️ | ✔️ | ✔️ |
| Arrow | ✔️ | ✔️ | ✔️ |
| Dask | ✔️ |
Some of this was on my "should learn in 2026" list back around New Year, so I'll play with it on my GH pages. I doubt much of it will reach the Exercism website! (though maybe some of it should).
- Dominant language
- R
- Stars
- 31
- Forks
- 46
- Avg merge
- 4h 25m
- Merged PRs (30d)
- 8
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.
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