Skipper Seabold | Using Dask for Parallel Computing in Python

1,438 views · Published 23 September 2016 · 1:21:41 · Indexed 23 October 2026

Channel: PyData · 2016 · Science & Technology

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PyData Chicago 2016

Dask is a relatively new library for parallel computing in Python. It builds around familiar data structures to users of the PyData stack and enables them to scale up their work on one or many machines. This tutorial will introduce users to the core concepts of dask by working through some example problems. The tutorial will be distributed via Jupyter Notebooks. 00:00 Welcome!
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