Cudf

https://docs.rapids.ai/api/cudf/stable/ 

import cudf

print(f"{cudf.__version__=}")

print(f"{cudf.__file__=}")

s = cudf.Series([1, 2, 3])

s.max()

gdf = cudf.from_pandas(pdf)

pdf = gdf.to_pandas()

arr = gdf.to_numpy()

def f(row):

    x = row["a"]

    if x is cudf.NA:  

        return 0

    else:             

        return x + 1

df = cudf.DataFrame({"a": [1, cudf.NA, 3]})

df.apply(f, axis=1)

@cuda.jit

def multiply_by_5(x, out):

    i = cuda.grid(1)

    if i < x.size:

        out[i] = x[i] * 5

out = cudf.Series(cp.zeros(len(s), dtype="int32"))

multiply_by_5.forall(s.shape[0])(s, out)

python -m cudf.pandas script.py

import cudf.pandas

cudf.pandas.install()

import pandas as pd

git clone https://github.com/rapidsai/cudf.git

cd cudf

conda env create --solver=libmamba --name cudf_dev --file conda/environments/all_cuda-122_arch-x86_64.yaml