Patrick Hoefler - Dask DataFrame 2.0: Comparison to Spark, DuckDB and Polars | PyData London 2024

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Dask is a library for distributed computing with Python that integrates with pandas. Historically, Dask was the easiest choice to use (it’s just pandas) but struggled to achieve robust performance. A re-implementation of Dask DataFrames will bring it up to speed with Spark, DuckDB and Polars.
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