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Skills tagged: dataframe

Browse skills that share this tag.

  • polars-v2 - Process in-memory datasets with Polars
    polarsdataframein-memorylazy-evaluation

    ★ 148 · Updated 2026-10-03

    Process in-memory datasets with Polars using expression-based transformations, lazy evaluation, parallel execution, and Apache Arrow.

    ⚙ Load tabular datasets⚙ Build lazy query plans⚙ Transform DataFrames with expressions
  • polars - Fast in-memory DataFrame library based on Apache Arrow
    polarsdataframeetlpython

    ★ 0 · Updated 2026-09-22

    Provides data manipulation capabilities, lazy query optimization, file I/O operations, and pandas migration patterns using Polars.

    ⚙ Query and manipulate tabular data⚙ Perform group aggregations⚙ Apply window functions
  • polars - Process and manipulate tabular data efficiently with Polars.
    polarsdataframepythondata-processing

    ★ 6 · Updated 2026-09-09

    Polars is an in-memory DataFrame library featuring expression-based transformation, lazy query optimization, and multi-format data I/O.

    ⚙ Filter and transform DataFrames⚙ Execute lazy query pipelines⚙ Group and aggregate tabular data
  • polars - Fast DataFrame Processing with Polars
    dataframedata-processingetlpandas-alternative

    ★ 22 · Updated 2026-06-30

    In-memory DataFrame library built on Apache Arrow with lazy evaluation and parallel execution for efficient data processing of 1-100GB datasets.

    ⚙ read CSV/Parquet/JSON data files⚙ write data to multiple formats⚙ filter DataFrame rows