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).
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.
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).