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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 11.6 MB | osx-arm64/polars-0.18.2-py310had9acf8_0.conda  1 year and 5 months ago 227 main
conda 11.6 MB | osx-arm64/polars-0.18.2-py39haff01fd_0.conda  1 year and 5 months ago 217 main
conda 12.5 MB | osx-64/polars-0.18.2-py38h7510fb3_0.conda  1 year and 5 months ago 294 main
conda 12.6 MB | osx-64/polars-0.18.2-py38h9a7126c_0.conda  1 year and 5 months ago 232 main
conda 12.5 MB | osx-64/polars-0.18.2-py39h80c48a4_0.conda  1 year and 5 months ago 258 main
conda 11.6 MB | osx-arm64/polars-0.18.2-py38hd0c8013_0.conda  1 year and 5 months ago 193 main
conda 12.6 MB | osx-64/polars-0.18.2-py310h3461e44_0.conda  1 year and 5 months ago 298 main
conda 12.8 MB | win-64/polars-0.18.2-py39hf21820d_0.conda  1 year and 5 months ago 637 main
conda 12.6 MB | osx-64/polars-0.18.2-py39hf33989b_0.conda  1 year and 5 months ago 440 main
conda 13.0 MB | win-64/polars-0.18.2-py311hc37eb10_0.conda  1 year and 5 months ago 550 main
conda 12.9 MB | win-64/polars-0.18.2-py38h4900a04_0.conda  1 year and 5 months ago 309 main
conda 11.7 MB | osx-arm64/polars-0.18.2-py311h0563b04_0.conda  1 year and 5 months ago 224 main
conda 12.9 MB | win-64/polars-0.18.2-py310h87d50f1_0.conda  1 year and 5 months ago 368 main
conda 12.7 MB | osx-64/polars-0.18.2-py311h299eb51_0.conda  1 year and 5 months ago 462 main
conda 14.7 MB | linux-64/polars-0.18.2-py38h0cc4f7c_0.conda  1 year and 5 months ago 1068 main
conda 14.6 MB | linux-64/polars-0.18.2-py39h9fdd4d6_0.conda  1 year and 5 months ago 1649 main
conda 14.8 MB | linux-64/polars-0.18.2-py311h46250e7_0.conda  1 year and 5 months ago 3378 main
conda 14.6 MB | linux-64/polars-0.18.2-py39he9b4010_0.conda  1 year and 5 months ago 1178 main
conda 14.6 MB | linux-64/polars-0.18.2-py310hcb5633a_0.conda  1 year and 5 months ago 1534 main
conda 14.6 MB | linux-64/polars-0.18.2-py38hc484311_0.conda  1 year and 5 months ago 958 main

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