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Bryan Van De Ven - How to Create Interactive Browser Visualizations from Python with Bokeh
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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. This tutorial will walk users through the steps to create different kinds of interactive plots using Bokeh. We will cover using Bokeh for static HTML output, the IPython notebook, and plot hosting and embedding using the Bokeh server. 00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.
Download tutorial files here:
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. This tutorial will walk users through the steps to create different kinds of interactive plots using Bokeh. We will cover using Bokeh for static HTML output, the IPython notebook, and plot hosting and embedding using the Bokeh server. 00:00 Welcome!
00:10 Help us add time stamps or captions to this video! See the description for details.
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