├── .gitignore ├── JupyterCON2017_Title.pptx ├── LICENSE ├── README.rst ├── data ├── eclipses_21C.csv ├── macro.csv └── mri.nc ├── datasets.yml ├── download_sample_data.py ├── environment.yml ├── images ├── .DS_Store ├── dask.svg ├── datashader.png ├── holoviews.png ├── numba.jpg └── xarray.png ├── notebooks ├── 00-welcome.ipynb ├── 01-workflow-introduction.ipynb ├── 02-annotating-data.ipynb ├── 03-customizing-visual-appearance.ipynb ├── 04-exploration-with-containers.ipynb ├── 05-working-with-tabular-data.ipynb ├── 06-working-with-gridded-data.ipynb ├── 07-custom-interactivity.ipynb ├── 08-operations-and-pipelines.ipynb ├── 09-working-with-large-datasets.ipynb ├── 10-parameters-and-widgets.ipynb ├── 11-deploying-bokeh-apps.ipynb ├── README.md ├── apps │ ├── nyc_taxi │ │ ├── main.py │ │ └── templates │ │ │ ├── index.html │ │ │ └── styles.css │ ├── periodic_app.py │ ├── player_app.py │ └── server_app.py ├── assets │ ├── bokeh.png │ ├── bokeh_logo.svg │ ├── dask.png │ ├── dask.svg │ ├── datashader.png │ ├── datashader_pipeline.png │ ├── geoviews.png │ ├── header_logo.png │ ├── holoviews.png │ ├── hv+bk.png │ ├── matplotlib_logo.png │ ├── numba.png │ ├── tutorial_app.gif │ └── xarray.png └── nyc_taxi_makeparq.ipynb └── solutions ├── 00-welcome-with-solutions.ipynb ├── 01-introduction-to-elements-with-solutions.ipynb ├── 02-customizing-visual-appearance-with-solutions.ipynb ├── 03-exploration-with-containers-with-solutions.ipynb ├── 04-working-with-tabular-data-with-solutions.ipynb ├── 05-working-with-gridded-data-with-solutions.ipynb ├── 06-custom-interactivity-with-solutions.ipynb ├── 07-working-with-large-datasets-with-solutions.ipynb ├── 08-deploying-bokeh-apps-with-solutions.ipynb ├── README.md ├── apps ├── periodic_app.py ├── player_app.py ├── player_app_with_solutions.py ├── server_app.py └── server_app_with_solutions.py └── assets ├── bokeh_logo.svg ├── dask.png ├── dask.svg ├── datashader.png ├── datashader_pipeline.png ├── header_logo.png ├── holoviews.png ├── 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