ANN: Bokeh 0.12.1 released

Hi all,

On behalf of the Bokeh team, I am pleased to announce the release of version 0.12.1 of Bokeh!
This is a minor, incremental update that adds a few new small features and fixes several bugs.
Please see the announcement post at:

  https://bokeh.github.io/blog/2016/6/28/release-0-12-1/

which has much more information as well as live demonstrations. And as always, see the CHANGELOG and Release Notes for full details.

If you are using Anaconda/miniconda, you can install it with conda:

  conda install -c bokeh bokeh

Alternatively, you can also install it with pip:

  pip install bokeh

Full information including details about how to use and obtain BokehJS are at:

  http://bokeh.pydata.org/en/0.12.1/docs/installation.html

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/0.12.1

Questions can be directed to the Bokeh mailing list: [email protected] or the Gitter Chat room: https://gitter.im/bokeh/bokeh

Thanks,

Bryan Van de Ven
Continuum Analytics

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Bokeh is a Python interactive visualization library that targets modern web browsers for presentation. Its goal is to provide elegant, concise construction of versatile graphics with high-performance interactivity over very large or streaming datasets. Bokeh can help anyone who would like to quickly and easily create interactive plots, dashboards, and data applications.