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coiled / data-science-at-scale

A Pythonic introduction to methods for scaling your data science and machine learning work to larger datasets and larger models, using the tools and APIs you know and love from the PyData stack (such as numpy, pandas, and scikit-learn).
MIT License
112 stars 38 forks source link

Add repo2docker CI build #3

Closed jrbourbeau closed 4 years ago

jrbourbeau commented 4 years ago

This checks that binder should be able to successfully build an image for this repo

jrbourbeau commented 4 years ago

Once this is merged in, PR builds will start to appear. In the meantime, you can see the build logs over at https://github.com/jrbourbeau/data-science-at-scale/runs/1064595477?check_suite_focus=true