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Jupyter extension to serve bokeh resources (js and css files).

Project description

bokeh-resources

Bokeh (https://bokeh.org/) Python plotting library has two main modes for serving static content: CDN and inline.

  • 'CDN' mode needs internet connection every time you open the notebook

  • 'inline' mode increases size of ipynb files by 6Mb

This extension allows to serve bokeh files locally thus keeping the size of ipynb files small and not require internet connection.

Installation:

pip install bokeh-resources

Then run install.py to install the extension to jupyter and to create the symlink (see 'Updating' below)

Usage:

In bokehlab:

%bokehlab local

In bokeh:

from bokeh.io import output_notebook
from bokeh.resources import Resources
output_notebook(Resources('server', root_url='/nbextensions/bokeh_resources'))

Updating:

The extension creates a symlink (or a directory junction on Windows). This means that it is resilient to bokeh updates (= the extension does not need to be updated when the bokeh is updated to next version).

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