Parallel and Distributed Computing in Python with Dask | SciPy 2020 | Bourbeau, McCarty, Pothina
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Parallel and Distributed Computing in Python with Dask | SciPy 2020 | Bourbeau, McCarty, Pothina
Dask is a library for scaling and parallelizing Python code on a single machine or across a cluster. Dask provides familiar, high-level interfaces to extend the SciPy ecosystem (e.g. NumPy, Pandas, Scikit-Learn) to larger-than-memory or distributed environments, as well as lower-level interfaces for parallelizing custom algorithms and workflows ...
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