Flexible parallel computing library for analytic computing. Dask is composed of two components: dynamic task scheduling optimized for computation and “Big Data” collections like parallel arrays, dataframes, and lists that extend common interfaces like NumPy, Pandas, or Python iterators.
|Developed by||Matthew Rocklin|
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