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by Joris Van den Bossche At: FOSDEM 2017 The growing Speakers: Tom Augspurger, James Crist, Martin Durant The libraries that power Hacking Machine Learning Munich: Parallelizing Pandas, NumPy, and Scikit-Learn with Full show notes at What if you could write standard numpy and pandas code but have it run on a ...
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Dask in 8 Minutes: An Introduction
Parallel and Distributed Computing in Python with Dask | SciPy 2020 | Bourbeau, McCarty, Pothina
Skipper Seabold | Using Dask for Parallel Computing in Python
Dask - extending Python data tools for parallel and distributed computing
EuroSciPy Advanced Session - Parallel Data Analysis with Dask
Tom Augspurger, James Crist, Martin Durant - Parallel Data Analysis with Dask - PyCon 2018
Parallelizing Scientific Python with Dask | SciPy 2017 Tutorial | James Crist
Parallelizing Pandas, NumPy, and Scikit-Learn with Dask - Ian Stokes-Rees
Dask Parallel and Distributed Computing | SciPy 2016 | Matthew Rocklin
Pandas Parallel Transformations with Dask and Pandarallel
Dask Tutorial | Intro to Dask | The Power of Parallel Computing | Module One
Parallel Data Processing with Python Dask Course
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Last Updated: June 20, 2026
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