We are excited to announce the release of version *0.8.2* of Bokeh, an interactive web plotting library for Python... and other languages! This minor release includes some refactoring, many bug fixes and nice improved documentation.
* Collect implicit interfaces into a single bokeh.io module * Fixed notebook css issues * Update notebooks to be compatible with IPython 3.0 * Easy bokeh applet generation using the simpleapp module * Develop installation enhancements * A new User guide intro and some other docs styling enhancements * Some other minor examples bugfixes
See the CHANGELOG for full details.
If you are using Anaconda/miniconda, you can install it with conda:
*conda install -c bokeh bokeh*
*Note*: please check that we have added the *-c bokeh* subcommand which points to the main channel of the Binstar bokeh user. Additionally, this release will be available on the regular repo in a week or so. If you want to avoid the *-c bokeh* subcommand you can add this channel to your *.condarc* file with:
*conda config --add channels bokeh*
and then you will be able to just use the original command:
*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 section in the documentation for more details.
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: email@example.com