Hi all, 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) * Responsive plots * 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 * Removed multiuserblazeserver See the CHANGELOG <https://github.com/bokeh/bokeh/blob/master/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* If you want to use *Bokeh* in standalone Javascript applications, *BokehJS* is available by CDN at: * http://cdn.pydata.org/bokeh/release/bokeh-0.10.0.min.js * http://cdn.pydata.org/bokeh/release/bokeh-0.10.0.min.css 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: bokeh@continuum.io 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. Cheers. -- *Damián Avila* *Software Developer* *@damian_avila* *davila@continuum.io <davila@continuum.io>* *+5492215345134 | cell (ARG)*