Matthew will explain how to parallelize Python data science workflows with NumPy, pandas, and scikit-learn across a cluster with dask or other parallel computing tools.
Matthew Rocklin is an open source software developer at Anaconda focusing on efficient computation and parallel computing, primarily within the Python ecosystem. He has contributed to many of the PyData libraries and today works on Dask, a framework for parallel computing. Matthew holds a PhD in computer science from the University of Chicago, where he focused on numerical linear algebra, task scheduling, and computer algebra.
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