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).
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A few things (install instructions, get example working, Binder) #17
@jrbourbeau you mentioned you'd have some time to check in here on Friday. These are some things that it would be great to have your help with
[x] Put local install instructions in README.md. These are pretty good but I also think we needed jupyter labextension install dask-labextension. Is there anything else I'm missing?
[x] Get everything needed from this repo so that this NB runs here (I can't yet execute %run prep.py -d flights)
[x] Get this repo working in Binder with Dask dashboards. It's not working consistently for me, sadly. It did just work now, but the dashboards weren't there. See screenshot below.
@jrbourbeau you mentioned you'd have some time to check in here on Friday. These are some things that it would be great to have your help with
jupyter labextension install dask-labextension. Is there anything else I'm missing?%run prep.py -d flights)Thanks!