JuliaPy / JuliaPy/PythonCall.jl

Consider supporting polars

未關閉
#654 1 則留言 0 個 reaction 已指派 0 人 在 GitHub 檢視
enhancement
主要語言
Julia
星號
1.1k
分支
86
平均合併
1 天 22 小時
30 天內合併 PR
3

描述

I see PythonCall has special support for pandas, and I think polars is a replacement for it, so also support it (not either or)?

https://pola.rs/

I hate to be asking for such features, adding to your workload. I see people complaining Julia is much slower than Python (with polars). I'm thinking are there good options that compete, or should users use polars directly, i.e. wrapping the Rust implementation. Or use the Python package/API/binding for it. Its install page gives me the Python download option, not even defaulting to Rust (or JavaScript). I don't know for sure, I think the Python API might be fully featured, or at least more used (as is with some packages like TensorFlow).

Do you think you should not need any support, can just install Python polars package and use it? It's likely the case, and should be used like that, or with a simple Julia package that depends on the Python package, depending on Rust...

I'm just unclear on if that argument didn't also go for pandas, and why was it supported specially in the first place?

貢獻指南

這個儲存庫沒有索引到貢獻指南

評估

這個 Issue 還沒有評估資料。

把新 issue 寄到你的電子郵件信箱

精選適合新手參與的 GitHub issue 摘要。