carpentries-incubator / carpentries-incubator/lesson-parallel-python
New chapter: data science on NY taxi dataset
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Description
Episode objectives:
- List several popular libraries for efficient data handling: pandas, polars, duckdb, dask / xarray, dask / dataframe.
- Use `polars` or `duckdb` to handle heterogeneous and partitioned data sets transparently.
- Make plans, worflows, or expressions (so many names) to process "larger than memory" data.
- Evaluate the applicability and efficiency of different data handling frameworks.
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