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Polars is a blazingly fast DataFrames library implemented in Rust using Apache Arrow(2) as memory model.

copied from cf-staging / polars
Type Size Name Uploaded Downloads Labels
conda 13.2 MB | win-64/polars-0.18.4-py311hc37eb10_0.conda  1 year and 4 months ago 467 main
conda 13.1 MB | win-64/polars-0.18.4-py39hf21820d_0.conda  1 year and 4 months ago 535 main
conda 11.9 MB | osx-arm64/polars-0.18.4-py311h0563b04_0.conda  1 year and 4 months ago 248 main
conda 13.1 MB | win-64/polars-0.18.4-py310h87d50f1_0.conda  1 year and 4 months ago 376 main
conda 12.9 MB | osx-64/polars-0.18.4-py311h299eb51_0.conda  1 year and 4 months ago 368 main
conda 12.8 MB | osx-64/polars-0.18.4-py39hf33989b_0.conda  1 year and 4 months ago 338 main
conda 12.8 MB | osx-64/polars-0.18.4-py39h80c48a4_0.conda  1 year and 4 months ago 252 main
conda 11.8 MB | osx-arm64/polars-0.18.4-py38hd0c8013_0.conda  1 year and 4 months ago 200 main
conda 12.8 MB | osx-64/polars-0.18.4-py310h3461e44_0.conda  1 year and 4 months ago 327 main
conda 11.9 MB | osx-arm64/polars-0.18.4-py310had9acf8_0.conda  1 year and 4 months ago 255 main
conda 13.1 MB | win-64/polars-0.18.4-py38h4900a04_0.conda  1 year and 4 months ago 279 main
conda 12.8 MB | osx-64/polars-0.18.4-py38h9a7126c_0.conda  1 year and 4 months ago 255 main
conda 11.8 MB | osx-arm64/polars-0.18.4-py39haff01fd_0.conda  1 year and 4 months ago 210 main
conda 12.8 MB | osx-64/polars-0.18.4-py38h7510fb3_0.conda  1 year and 4 months ago 302 main
conda 14.8 MB | linux-64/polars-0.18.4-py39he9b4010_0.conda  1 year and 4 months ago 1169 main
conda 14.8 MB | linux-64/polars-0.18.4-py39h9fdd4d6_0.conda  1 year and 4 months ago 1451 main
conda 14.9 MB | linux-64/polars-0.18.4-py311h46250e7_0.conda  1 year and 4 months ago 1815 main
conda 14.8 MB | linux-64/polars-0.18.4-py38hc484311_0.conda  1 year and 4 months ago 935 main
conda 14.8 MB | linux-64/polars-0.18.4-py38h0cc4f7c_0.conda  1 year and 4 months ago 1094 main
conda 14.8 MB | linux-64/polars-0.18.4-py310hcb5633a_0.conda  1 year and 4 months ago 3058 main

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