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Matt Rocklin: Data Science, Dask, Scale | Turn the Lens Ep12
Functional Python with Matthew Rocklin and Alexander Schepanovsky
Dask DataFrames on HDFS Cluster
PLOTCON 2016: Matthew Rocklin, Visualizing Distributed Computations with Dask and Bokeh
Taking Control: Enabling Mathematicians and Scientists | SciPy 2014 | Matthew Rocklin
Matthew Rocklin- Hosting Dask: Challenges and Opportunities| PyData Global 2020
Deep Learning with Anaconda | Stan Seibert & Matt Rocklin | AnacondaCON 2017
Guest Seminar: Matthew Rocklin
UIKonf 2014 -- Matthew Morey: High performance Core Data
Dask Dataframes: Introduction
Aron Ahmadia, Matthew Rocklin | Parallel Python Analyzing Large Data Sets
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Last Updated: September 28, 2026
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PyData SV 2014 00:00 Welcome! 00:10 Help us add time stamps or captions to this video! See the description for details. Want to ... Dask developers joined with Python web developers to make Coiled, a global scale service providing managed Dask to everyone ... View slide presentation here: blaze.pydata.org/presentations/pydata-nyc-2014.html Notebooks here: ... Walkthrough using dask.dataframe on an HDFS cluster to play with NYCTaxi CSV Talk Dask is a widely used parallel computing solution for PyData. As Dask is deployed more into production we see challenges ... Presented at AnacondaCON 2017 by Stan Seibert & As part of the eScience Institute's Guest Seminar Series, guest speaker Videoproduction: REBELLAB - audiovisual narratives rebellab.com. Introduction to Dask Dataframes docs.dask.org/en/latest/dataframe.html. PyData DC 2016 Students will walk away with a high-level understanding of both parallel problems and how to reason about ...
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