Anaconda Enterprise: Documentation

# Getting Set Up

This first section will guide you through quick installation instructions, and provide some short “test” code you can run to verify that your Bokeh installation is working as expected.

## Installing the Bokeh Library

The easiest way to install Bokeh and all of its necessary dependencies is to use a package manager such as `conda` or `pip`. If you are using Anaconda, you can install with `conda` by running the command:

    conda install bokeh

at your command prompt. Otherwise, to install with `pip`, run the command:

    pip install bokeh

For full details, consult the Installation section of the Bokeh documentation.

## Verifying your installation

The first check you can make is to make sure you can `import bokeh` and verify `bokeh.__version__` from a running python interpreter. If you execute both of those lines in a python interpreter, the result should look something like this:

The next check you can make is to produce a very simple plot. Execute the following few lines of python code, either by copying them into a script and executing the script, or by running the lines by hand in a python interpreter:

    from bokeh.plotting import figure, output_file, show
    output_file("test.html")
    p = figure()
    p.line([1, 2, 3, 4, 5], [6, 7, 2, 4, 5], line_width=2)
    show(p)

This should save a `test.html` file locally, and open a browser tab to view the file. The result should look like this:

You can also test your Bokeh installation in an IPython/Jupyter notebook. Execute the lines of python code in the notebook, except with `output_notebook` instead of `output_file`. You should see results like:

You can also test your Bokeh installation in an Zeppelin notebook. Execute the lines of python code in the notebook, except specifying `notebook_type` as `zeppelin` in method `output_notebook`. You should see results like:

## Finding Help

If you are having problems either with the installation or with running the basic example code above, please ask for assistance on the Bokeh mailing list or submit an issue on the Bokeh GitHub issue tracker.