Dask Video Tutorial

Dask provides advanced parallelism for analytics, enabling performance at scale for the tools you love.

In this 90 minute tutorial we will cover an overview of Dask including dataframes, arrays, machine learning and distributed scheduling.

These are the rough timings for the tutorial.

Name		Name	Last commit message	Last commit date
Latest commit History 37 Commits
binder		binder
data		data
images		images
.gitignore		.gitignore
01-Intro.ipynb		01-Intro.ipynb
02-Lab.ipynb		02-Lab.ipynb
03-Lab-Solution.ipynb		03-Lab-Solution.ipynb
04-GUI-Solution-Revisited.ipynb		04-GUI-Solution-Revisited.ipynb
05-Array.ipynb		05-Array.ipynb
06-ML.ipynb		06-ML.ipynb
06a-ML-Solution.ipynb		06a-ML-Solution.ipynb
07-Bag-Future.ipynb		07-Bag-Future.ipynb
08-Distributed.ipynb		08-Distributed.ipynb
09-Best-Practices-Wrapup.ipynb		09-Best-Practices-Wrapup.ipynb
LICENSE.txt		LICENSE.txt
README.md		README.md

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