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:
Installation — Bokeh 0.12.1 documentation
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 Welcome to Bokeh — Bokeh 0.12.1 documentation
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
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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.