Clone or download the repo

First get local copies of the tutorial notebooks:

$ git clone https://github.com/bokeh/bokeh-notebooks.git

Install the dependencies

This tutorial has been tested on:

Other combinations may work also.

The quickest, easiest way to install is to use Anaconda (or Miniconda):

Anaconda should come with all the dependencies included, but you may need to update your versions.

Use the command line to create an environment and install the packages:

$ conda env create
$ source activate bokeh-notebooks

NOTE: Run this in the tutorial directory where environment.yml file is.

Once you've got a base install, you can install the remaining dependencies with:

conda install phantomjs pillow selenium

Bokeh has a sample data download that gives us some data to build demo visualizations. To get it run the following command at your command line:

$ bokeh sampledata

or run the following from within a Python interpreter:

import bokeh.sampledata
bokeh.sampledata.download()

Some optional sections require the additional packages Flask, Datashader, and Holoviews. These can be installed with:

$ conda install -c pyviz datashader holoviews flask

From this folder run jupyter notebook, and open the [00 - Introduction and Setup.ipynb](00 - Introduction and Setup.ipynb) notebook.

$ jupyter notebook