Anselm Coogan

Hi, is there a solution/work-around for this? Thanks!

@artur-ba my workaround is to convert the dataframe to a csv string and then load that string via an R function: ```python csv_text = df.to_csv(index=False) robjects.r(f"source('r_utils.R')") get_dataframe_from_csv_text = robjects.globalenv["get_dataframe_from_csv_text"] r_df...

any update on this?

Is there any way to get this to work for `gdrive sync upload`? I'm uploading data in bulk - only filetype is `csv` but there's also an underlying directory structure.

> tinygrad supports back to Python 3.8 for Ubuntu 20.04 ? all the updates in this PR are python 3.8 syntax

I totally agree that some of these are more code golf, however, I don't think you can pick-and-choose what `pyupgrade` does. I also agree that something like this needs to...