THIS REPO IS OUTDATED. SEE https://github.com/bokeh/tutorial FOR UP TO DATE TUTORIALS
Welcome to Bokeh in Jupyter Notebooks!
Bokeh is a Python interactive visualization library for large datasets that natively uses the latest web technologies. Its goal is to provide elegant, concise construction of novel graphics in the style of Protovis/D3, while delivering high-performance interactivity over large data to thin clients.
These Jupyter notebooks provide useful Bokeh examples and a tutorial to get
started. You can download the repository and execute jupyter notebook from
your terminal to try out the notebooks locally on your own machine.
Alternatively, you can immediately launch live versions of the Tutorial notebooks in your browser on mybinder.org.
Please visit the Bokeh web page for more information and full documentation, and the Bokeh Discourse for community discussion.
Be sure to follow us on Twitter @bokeh!