Apologies, I neglected to include a project description: """ 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. """
> On Jun 28, 2016, at 1:32 PM, Bryan Van de Ven <bry...@continuum.io> 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/ > > 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 > > 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: bo...@continuum.io or > the Gitter Chat room: https://gitter.im/bokeh/bokeh > > Thanks, > > Bryan Van de Ven > Continuum Analytics -- https://mail.python.org/mailman/listinfo/python-announce-list Support the Python Software Foundation: http://www.python.org/psf/donations/
