[prev in list] [next in list] [prev in thread] [next in thread] 

List:       python-announce-list
Subject:    ANN: Bokeh 0.12.1 released
From:       Bryan Van de Ven <bryanv () continuum ! io>
Date:       2016-07-28 19:35:54
Message-ID: 223F9DD2-5F0F-4688-BA85-FEA2656C7D97 () continuum ! io
[Download RAW message or body]

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: bokeh@continuum.io 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.


-- 
https://mail.python.org/mailman/listinfo/python-announce-list

        Support the Python Software Foundation:
        http://www.python.org/psf/donations/


[prev in list] [next in list] [prev in thread] [next in thread]