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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 13.3 MB | win-64/polars-0.18.7-py38h4900a04_0.conda  1 year and 4 months ago 256 main
conda 12.9 MB | osx-64/polars-0.18.7-py39hf33989b_0.conda  1 year and 4 months ago 323 main
conda 12.9 MB | osx-64/polars-0.18.7-py38h7510fb3_0.conda  1 year and 4 months ago 276 main
conda 13.4 MB | win-64/polars-0.18.7-py311hc37eb10_0.conda  1 year and 4 months ago 445 main
conda 12.1 MB | osx-arm64/polars-0.18.7-py311h0563b04_0.conda  1 year and 4 months ago 254 main
conda 13.0 MB | osx-64/polars-0.18.7-py39h80c48a4_0.conda  1 year and 4 months ago 259 main
conda 12.0 MB | osx-arm64/polars-0.18.7-py38hd0c8013_0.conda  1 year and 4 months ago 194 main
conda 13.3 MB | win-64/polars-0.18.7-py39hf21820d_0.conda  1 year and 4 months ago 466 main
conda 13.0 MB | osx-64/polars-0.18.7-py38h9a7126c_0.conda  1 year and 4 months ago 280 main
conda 13.0 MB | osx-64/polars-0.18.7-py311h299eb51_0.conda  1 year and 4 months ago 350 main
conda 12.0 MB | osx-arm64/polars-0.18.7-py39haff01fd_0.conda  1 year and 4 months ago 214 main
conda 12.0 MB | osx-arm64/polars-0.18.7-py310had9acf8_0.conda  1 year and 4 months ago 235 main
conda 13.0 MB | osx-64/polars-0.18.7-py310h3461e44_0.conda  1 year and 4 months ago 269 main
conda 13.2 MB | win-64/polars-0.18.7-py310h87d50f1_0.conda  1 year and 4 months ago 343 main
conda 15.0 MB | linux-64/polars-0.18.7-py310hcb5633a_0.conda  1 year and 4 months ago 4263 main
conda 14.9 MB | linux-64/polars-0.18.7-py39he9b4010_0.conda  1 year and 4 months ago 1088 main
conda 15.0 MB | linux-64/polars-0.18.7-py38hc484311_0.conda  1 year and 4 months ago 951 main
conda 15.0 MB | linux-64/polars-0.18.7-py39h9fdd4d6_0.conda  1 year and 4 months ago 3752 main
conda 15.0 MB | linux-64/polars-0.18.7-py38h0cc4f7c_0.conda  1 year and 4 months ago 1120 main
conda 15.1 MB | linux-64/polars-0.18.7-py311h46250e7_0.conda  1 year and 4 months ago 2548 main

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