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
-----
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.
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