Unlock Interactive Data Visualization on the Web with Bokeh 🚀 | PyCon 2015
Discover how Python's Bokeh library empowers web developers to create stunning, interactive data visualizations easily. Perfect for enhancing your web projects!
PyCon 2015
26.4K views • Apr 12, 2015
About this video
"Speaker: Sarah Bird
Interactive data visualization libraries are mostly a JavaScript stronghold. The new Python library, Bokeh, provides a simple, clean way to make more shiny things. Although it comes from the data science community, it has a lot to offer web developers. For a visualization you might have built in d3.js, I'll show how to build it in Bokeh, how to test it, and how to hook it into your web app.
Slides can be found at: https://speakerdeck.com/pycon2015 and https://github.com/PyCon/2015-slides"
Interactive data visualization libraries are mostly a JavaScript stronghold. The new Python library, Bokeh, provides a simple, clean way to make more shiny things. Although it comes from the data science community, it has a lot to offer web developers. For a visualization you might have built in d3.js, I'll show how to build it in Bokeh, how to test it, and how to hook it into your web app.
Slides can be found at: https://speakerdeck.com/pycon2015 and https://github.com/PyCon/2015-slides"
Video Information
Views
26.4K
Likes
330
Duration
28:50
Published
Apr 12, 2015
User Reviews
4.5
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