I have no R experience but have been using Polars instead of Pandas for this sort of stuff and it feels less clunky. How does Polars compare to R?
But, recently I’ve been working with much larger scale data than R can handle (thanks to R’s base int32 limitation) and have been needing to use Python instead.
Polars feels much more intuitive and similar to `dplyr` to me for table processing than Pandas does.
I often ask my LLM of choice to “translate this dplyr call to Polars” as I’ve been learning the Polars syntax.
This is one of those decisions that I just do not understand. In your mind, why do you imagine a set of improvements won’t be made?
Otherwise, for now, working with Python and R using the reticulate package in Quarto is perfect for my needs.
If the Positron IDE could get in-line plot visualization in Quarto documents like the RStudio IDE has, I’d be the happiest camper.
The problem is not technical. Let's just leave it at that.