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Interactive Web Plotting with Bokeh in IPython notebook

License: BSD 3-Clause "New" or "Revised" License

Jupyter Notebook 100.00%

bokeh-notebooks's Introduction

Bokeh in Jupyter Notebooks

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 visualize the rendered Jupyter notebooks on NBViewer or download the repository and execute jupyter notebook from your terminal.

You can also immediately launch live versions of the Tutorial notebooks in your browser on mybinder.

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 @BokehPlots!

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