ANN: Bokeh 0.8.1 released

[Damian Avila]

Hi all,

We are excited to announce the release of version 0.8.1 of Bokeh, an
interactive web plotting library for Python... and other languages!  This
minor release includes many bug fixes and docs improvements:

* Fixed HoverTool
* Fixed Abstract Rendering implementation and docs
* Fixed Charts gallery and docs
* Removed leftovers from the old plotting API implementation
* Some other minor docs fixes

See the CHANGELOG for full details.

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

       conda install bokeh

Alternatively, you can install with pip:

       pip install bokeh

Developer builds are also now made available to get features in the hands
of interested users more quickly. See the Developer Builds
<http://bokeh.pydata.org/en/latest/docs/installation.html#developer-builds>
section
in the documentation for more details.

BokehJS is also available by CDN for use in standalone Javascript
applications:

* http://cdn.pydata.org/bokeh/release/bokeh-0.8.1.min.js
* http://cdn.pydata.org/bokeh/release/bokeh-0.8.1.min.css

Finally, 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

Questions can be directed to the Bokeh mailing list: bokeh at continuum.io

Cheers!

-- 
*Damián Avila*
*Continuum Analytics*
*damian.avila at continuum.io <damian.avila at continuum.io>*