[great_wubwub]

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?

[j_bum]

I strongly prefer `dplyr` and the R stack for table processing and visualization.

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.

[aydyn]

It blows my mind that in 2025 R is still limited to 2^31-1 rows. R needs a Python 3.0 moment, but that is unfortunately not going to happen for certain unfortunate but unnecessary reasons.

[j_bum]

Yep. I have a deep love/hate relationship with R.

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.

[aydyn]

> In your mind, why do you imagine a set of improvements won’t be made?

The problem is not technical. Let's just leave it at that.

[j_bum]

Ugh now I am extremely curious. This is a lead at least lol.