« Polars » : différence entre les versions
(Page créée avec « ==en construction== == Définition == XXXXXXXXX == Français == ''' XXXXXXXXX ''' == Anglais == '''Polars''' == Source == [https://www.nvidia.com/en-us/glossary/polars/ Source : nvidia] Polars is an open-source DataFrame library for data manipulation and analysis. It is implemented in Rust and uses Apache Arrow’s columnar memory format for efficient data processing. The library provides a structured and typed API, enabling users to perform a wide range o... ») |
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Voir aussi '''[[pandas]]''' | |||
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[https://www.kdnuggets.com/polars-for-pandas-users-a-blazing-fast-dataframe-alternative Source : KDnuggets] | |||
[https://www.nvidia.com/en-us/glossary/polars/ Source : nvidia] | [https://www.nvidia.com/en-us/glossary/polars/ Source : nvidia] | ||
[https://pola.rs/ Source : Polars] | |||
Polars is an open-source DataFrame library for data manipulation and analysis. It is implemented in Rust and uses Apache Arrow’s columnar memory format for efficient data processing. The library provides a structured and typed API, enabling users to perform a wide range of data transformations. Polars is designed to maximize computational efficiency and supports various file formats and data storage layers, making it compatible with modern workflows. | Polars is an open-source DataFrame library for data manipulation and analysis. It is implemented in Rust and uses Apache Arrow’s columnar memory format for efficient data processing. The library provides a structured and typed API, enabling users to perform a wide range of data transformations. Polars is designed to maximize computational efficiency and supports various file formats and data storage layers, making it compatible with modern workflows. | ||
Version du 7 juillet 2025 à 14:22
en construction
Définition
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Voir aussi pandas
Français
Polars
Anglais
Polars
Source
Polars is an open-source DataFrame library for data manipulation and analysis. It is implemented in Rust and uses Apache Arrow’s columnar memory format for efficient data processing. The library provides a structured and typed API, enabling users to perform a wide range of data transformations. Polars is designed to maximize computational efficiency and supports various file formats and data storage layers, making it compatible with modern workflows.
