Create README.md

Author: gumdropsteve

day_13/README.md

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+## [Bokeh](https://github.com/bokeh)
+Interactive Data Visualization.
+- Bokeh intro Notebooks can be [run in Binder](https://mybinder.org/v2/gh/bokeh/bokeh-notebooks/master?filepath=tutorial%2F00%20-%20Introduction%20and%20Setup.ipynb)
+  - Or found on GitHub: https://github.com/bokeh/bokeh-notebooks
+- [bokeh/bokeh](https://github.com/bokeh/bokeh) - Interactive Data Visualization in the browser, from Python
+
+#### User Guide
+- [Quickstart](https://docs.bokeh.org/en/latest/docs/user_guide/quickstart.html#userguide-quickstart)
+- [Using with Jupyter](https://docs.bokeh.org/en/latest/docs/user_guide/jupyter.html#userguide-jupyter)
+
+#### Example Use (cuxfilter)
+[rapidsai/cuxfilter](https://github.com/rapidsai/cuxfilter)
+
+![cuxfilter architecture](https://github.com/rapidsai/cuxfilter/raw/branch-0.18/docs/_images/RAPIDS_cuxfilter.png)
+
+## [HoloViz](https://github.com/holoviz)
+High-level tools to simplify visualization in Python.
+- [holoviz/datashader](https://github.com/holoviz/datashader) - Quickly and accurately render even the largest data.
+- [holoviz/holoviews](https://github.com/holoviz/holoviews) - Python library designed to make data analysis and visualization seamless and simple.
+
+## [Jupyter Widgets](https://github.com/jupyter-widgets)
+Interactive Widgets for the Jupyter Notebook.
+- [jupyter-widgets/ipywidgets](https://github.com/jupyter-widgets/ipywidgets) - interactive HTML widgets for Jupyter notebooks, JupyterLab and the IPython kernel.
+  - Intro Notebooks can be [run in Binder](https://mybinder.org/v2/gh/jupyter-widgets/ipywidgets/master?filepath=docs%2Fsource%2Fexamples)