ANN: Bokeh 0.12 Released

Community Support
1

Hi all,

On behalf of the Bokeh team, I am pleased to announce the release of version 0.12.0 of Bokeh!

This release was a major update, and was focused on areas of layout and styling, new JavaScript APIs for BokehJS, and improvements to the Bokeh Server. But there were many additional improvements in other areas as well. Rather than try to describe all the changes here, I encourage every one to check out the new project blog:

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

which has details 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 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:

  Bokeh Docs

Issues, enhancement requests, and pull requests can be made on the Bokeh Github page: GitHub - bokeh/bokeh: Interactive Data Visualization in the browser, from Python

Documentation is available at Bokeh Docs

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

2

Congratulations!

I was very much looking forward to this release, can’t wait to try it out!

Thank you Bokeh team!

Yanick

···

On Tuesday, June 28, 2016 at 3:36:24 PM UTC-3, Bryan Van de ven wrote:

Hi all,

On behalf of the Bokeh team, I am pleased to announce the release of version 0.12.0 of Bokeh!

This release was a major update, and was focused on areas of layout and styling, new JavaScript APIs for BokehJS, and improvements to the Bokeh Server. But there were many additional improvements in other areas as well. Rather than try to describe all the changes here, I encourage every one to check out the new project blog:

    [https://bokeh.github.io/blog/2016/6/28/release-0-12/](https://bokeh.github.io/blog/2016/6/28/release-0-12/)

which has details 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 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/0.12.0/docs/installation.html](http://bokeh.pydata.org/en/0.12.0/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/0.12.0

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