Presented By O'Reilly and Cloudera
Make Data Work
22–23 May 2017: Training
23–25 May 2017: Tutorials & Conference
London, UK
Matthew Rocklin

Matthew Rocklin
Computational Scientist , Anaconda

Website

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.

Sessions

11:1511:55 Wednesday, 24 May 2017
Level: Intermediate
Matthew Rocklin (Anaconda)
Average rating: ****.
(4.33, 3 ratings)
Dask parallelizes Python libraries like NumPy, pandas, and scikit-learn, bringing a popular data science stack to the world of distributed computing. Matthew Rocklin discusses the architecture and current applications of dask used in the wild. Read more.
12:0512:45 Wednesday, 24 May 2017
Location: Capital Hall (N24) - O'Reilly booth - Table A
Matthew Rocklin (Anaconda)
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. Read more.