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Merge branch 'master' into auto_sklearn
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@@ -82,7 +82,7 @@ packages from [conda-forge](https://conda-forge.github.io/feedstocks)
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[statsmodel](http://www.statsmodels.org/stable/index.html), [cloudpickle](https://github.com/cloudpipe/cloudpickle), [dill](https://pypi.python.org/pypi/dill),
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[numba](https://numba.pydata.org/), [bokeh](https://bokeh.pydata.org/en/latest/), [sqlalchemy](https://www.sqlalchemy.org/), [hdf5](http://www.h5py.org/),
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[vincent](http://vincent.readthedocs.io/en/latest/), [beautifulsoup](https://www.crummy.com/software/BeautifulSoup/),
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[protobuf](https://developers.google.com/protocol-buffers/docs/pythontutorial), and [xlrd](http://www.python-excel.org/) packages
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[protobuf](https://developers.google.com/protocol-buffers/docs/pythontutorial), [xlrd](http://www.python-excel.org/), [bottleneck](https://bottleneck.readthedocs.io/en/latest/), and [pytables](https://www.pytables.org/) packages
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* [ipywidgets](https://ipywidgets.readthedocs.io/en/stable/) and [ipympl](https://github.com/matplotlib/jupyter-matplotlib) for interactive visualizations and plots in Python notebooks
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* [Facets](https://github.com/PAIR-code/facets) for visualizing machine learning datasets
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@@ -182,8 +182,7 @@ the datascience-notebook image. Click here to launch it on
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`crosscompass/ihaskell-notebook` is based on [IHaskell](https://github.com/gibiansky/IHaskell). Includes popular packages and example notebooks.
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Try it on binder: [](https://mybinder.org/v2/gh/jamesdbrock/learn-you-a-haskell-notebook/master?urlpath=lab/tree/learn_you_a_haskell/00-preface.ipynb)
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Try it on [](https://mybinder.org/v2/gh/jamesdbrock/learn-you-a-haskell-notebook/master?urlpath=lab/tree/ihaskell_examples/ihaskell/IHaskell.ipynb)
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* [java-notebook is a community Jupyter Docker Stack image](https://github.com/jbindinga/java-notebook). The image includes
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[IJava](https://github.com/SpencerPark/IJava) kernel on top of the minimal-notebook image. Click here to launch it on
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