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tylerjthomas9 / RAPIDS.jl

An unofficial Julia wrapper for the RAPIDS.ai ecosystem using PythonCall.jl
MIT License
17 stars 1 forks source link

Build out `cudf` functionality #40

Open tylerjthomas9 opened 11 months ago

tylerjthomas9 commented 11 months ago

One possible approach is to take the Pandas.jl interface

beckernick commented 11 months ago

It might be interesting to see if https://rapids.ai/cudf-pandas/ could be useful here. Not sure how it might work/not work with pandas.jl

tylerjthomas9 commented 11 months ago

It might be interesting to see if https://rapids.ai/cudf-pandas/ could be useful here. Not sure how it might work/not work with pandas.jl

Congratulations on releasing this easy to use Pandas acceleration. It is a great win for the community. I have already adjusted some processes at work to use it. I think it will work with Pandas.jl.

The main thing I am looking at is getting all the features in Pandas.jl to work with PythonCall.jl. Pandas.jl uses PyCall.jl, so it I have to make a few adjustments. It shouldn't be too bad, but I just haven't had time to finish it up (I could just use both python interfaces at once, but I want to avoid this mess).