bokeh.pydata.orgBokeh 2.1.1 Documentation
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Bokeh.pydata.org is a subdomain of pydata.org,
which was created on 2011-12-16,making it 12 years ago.
It has several subdomains, such as pandas.pydata.org
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Description：Bokeh visualization library, documentation...
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bokeh.pydata.org Html To Plain Text
2.1.1 Installation User Guide Gallery Reference Developers Releases Tutorial Community Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics, and affords high-performance interactivity over large or streaming datasets. Bokeh can help anyone who would like to quickly and easily make interactive plots, dashboards, and data applications. To get started using Bokeh to make your visualizations, begin with the User Guide . For examples of how you might use Bokeh with your own data, peruse the Gallery . For detailed information about specific Bokeh components, consult the Reference . If you are interested in contributing to Bokeh, or extending the library, check out the Developers Guide. If youâd like to search for a particular topic, use the search box below: Project Roadmap Team Citation Documentation User Guide Gallery Reference Guide Hands On Tutorials Demos Contribute GitHub Developer Guide Sponsor Bokeh is a fiscally sponsored project of NumFOCUS , a nonprofit dedicated to supporting the open-source scientific computing community. Donations help pay for cloud hosting costs, travel, and other project needs. ©2019 Bokeh Contributors. The website content uses the BSD License ....
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