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Build out cudf functionality #40

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Build out cudf functionality #40

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tylerjthomas9
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@tylerjthomas9 tylerjthomas9 commented Nov 6, 2023

One possible approach is to take the Pandas.jl interface

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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

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tylerjthomas9 commented Nov 17, 2023

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).

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