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@@ -33,8 +33,7 @@ General ticks: [link](https://www.dataquest.io/blog/jupyter-notebook-tips-tricks
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#### Big Data
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[spark](https://docs.databricks.com/spark/latest/dataframes-datasets/introduction-to-dataframes-python.html#work-with-dataframes) - `DataFrame` for big data, [cheatsheet](https://gist.github.com/crawles/b47e23da8218af0b9bd9d47f5242d189), [tutorial](https://github.com/ericxiao251/spark-syntax).
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[sparkit-learn](https://github.com/lensacom/sparkit-learn) - PySpark + Scikit-learn.
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[dask](https://github.com/dask/dask) - Pandas `DataFrame` for big data, [talk](https://www.youtube.com/watch?v=RA_2qdipVng).
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[dask-ml](http://ml.dask.org/) - Scalable machine learning.
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[dask](https://github.com/dask/dask), [dask-ml](http://ml.dask.org/) - Pandas `DataFrame` for big data and machine learning library, [resources](https://matthewrocklin.com/blog//work/2018/07/17/dask-dev), [talk1](https://www.youtube.com/watch?v=ccfsbuqsjgI), [talk2](https://www.youtube.com/watch?v=RA_2qdipVng).
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[turicreate](https://github.com/apple/turicreate) - Helpful `SFrame` class for out-of-memory dataframes.
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[h2o](https://github.com/h2oai/h2o-3) - Helpful `H2OFrame` class for out-of-memory dataframes.
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[datatable](https://github.com/h2oai/datatable) - Data Table for big data support.

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