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Jim Crist: Dask Parallelizing NumPy and Pandas through Task Scheduling
Tom Augspurger, James Crist, Martin Durant - Parallel Data Analysis with Dask - PyCon 2018
Jim Crist - Make it Work, Make it Right, Make it Fast Debugging and Profiling in Dask
#207: Parallelizing computation with Dask
Skipper Seabold | Using Dask for Parallel Computing in Python
Jim Crist: Introducting Dask-Gateway: Dask clusters as a service | PyData Austin 2019
Matthew Rocklin | Using Dask for Parallel Computing in Python
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Last Updated: September 29, 2026
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Summary
Tutorial materials found here: scipy2017.scipy.org/ehome/220975/493423/ PyData DC 2018 This hands-on tutorial teaches students to scale Pandas and Scikit-Learn on a cluster with Full show notes at talkpython.fm/207 What if you could write standard numpy and pandas code but have it run on a ...
Jim Crist David Mertz Parallelizing Scientific Python With Dask.pdf
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