On behalf of the Bokeh team, I am excited to announce the release of version 0.10.0 of Bokeh, an interactive web plotting library for Python… and other languages!
This release was focused into provide several new features such as webgl support, a new refactored and more powerful chart interface and responsive plots. But we are also shipping a lot of bug-fixes and enhancements in our documentation, testing and build machineries and examples.
Some of the highlights from this release are:
Initial webgl support (check our new examples: maps city, iris blend, scatter 10K, clustering.py)
New charts interface supporting aggregation (see our new Bars, BoxPlot, Histogram and Scatter examples)
Lower-level jsresources & cssresources (allow more subtle uses of resources)
Several test machinery fixes
Several build machinery enhancements
More pytest-related fixes and enhancements
More docs fixes and enhancements
Now the glyph methods return the glyph renderer (not the plot)
Gmap points moves consistently
Added alpha control for imageurl objects
Removed python33 testing and packaging
See the CHANGELOG for full details.
If you are using Anaconda/miniconda, you can install it with conda:
conda install bokeh
or directly from our Anaconda Cloud main channel with:
conda install -c bokeh bokeh
Alternatively, you can also install it with pip:
pip install bokeh
Additionally, BokehJS is also installable with the Node Package Manager at https://www.npmjs.com/package/bokehjs
Issues, enhancement requests, and pull requests can be made on the Bokeh Github page: https://github.com/bokeh/bokeh
Documentation is available at http://bokeh.pydata.org/en/0.10.0
Questions can be directed to the Bokeh mailing list: [email protected]
We also have a new “general” channel available at Slack: https://bokehplots.slack.com/
Note: This is an unsupported place where users can congregate and self-support or share experiences.
The supported place by default is the Bokeh mailing list.
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