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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Old logo and broken URLs in notebook 01-data-analysis-at-scale.ipynb #31
The "Dask in the Cloud" blog links to the notebook 01-data-analysis-at-scale.ipynb. I noticed a few issues with this notebook:
Intro: "Coiled" and "free Beta here"
Section 2: "Dask"
Section 3: "Coiled"