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From: Bryan Van de Ven <bryanv@continuum.io>
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Subject: ANN: Bokeh 0.4 Release
Date: Tue, 4 Feb 2014 19:46:54 -0600
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I am pleased to announce the release of Bokeh version 0.4!

Bokeh is a Python library for visualizing large and realtime datasets on =
the web.  Its goal is to provide elegant, concise construction of novel =
graphics in the style of Protovis/D3, while delivering high-performance =
interactivity to thin clients.  Bokeh includes its own Javascript =
library (BokehJS) that implements a reactive scenegraph representation =
of the plot, and renders efficiently to HTML5 Canvas.  Bokeh works well =
with IPython Notebook, but can generate standalone graphics that embed =
into regular HTML.

Check out the full documentation and interactive gallery at

       http://bokeh.pydata.org

If you are using Anaconda, you can install with conda:

       conda install bokeh

Alternatively, you can install with pip:

       pip install bokeh

Some of the new features in this release include:

* Preliminary work on Matplotlib support: convert MPL figures to Bokeh =
plots
* Free public beta of Bokeh plot hosting at http://bokehplots.com
* Tool improvements:
- "always on" pan tool and wheel zoom tool (with shift key)
- box zoom tool
- viewport reset tool
* Enhanced datetime axis, with better performance and nicer ticking
* Expanded testing, including TravisCI integrations and static image =
output using PhantomJS
* RGBA and color mapped image plots now available from Python
* Python 3 supported
* Vastly improved documentation for glyphs, with inline examples and =
JSFiddle integration

Also, we've fixed lots of little bugs - see the CHANGELOG for full =
details.

Bokeh will be having a free "Office Hours" later this week! Join us this =
Thursday at 2pm CST on EngineHere =
athttps://www.enginehere.com/stream/437/bokeh-04-release/ for a live =
informational session about the latest release.  We'll be covering all =
the newest features and updates through a combination of live lecture, =
Q&A, and pair programming.  It's all free, just sign up to the =
EngineHere learning platform.

BokehJS is also available by CDN for use in standalone javascript =
applications:

       http://cdn.pydata.org/bokeh-0.4.js
       http://cdn.pydata.org/bokeh-0.4.css
       http://cdn.pydata.org/bokeh-0.4.min.js
       http://cdn.pydata.org/bokeh-0.4.min.css

Some examples of BokehJS use can be found on the Bokeh JSFiddle page:

       http://jsfiddle.net/user/bokeh/fiddles/

The release of Bokeh 0.5 is planned for late March. Some notable =
features we plan to include are:

* Abstract Rendering for semantically meaningful downsampling of large =
datasets
* Better grid-based layout system, using Cassowary.js
* Selection tools, tooltips, etc.

Issues, enhancement requests, and pull requests can be made on the Bokeh =
Github page: https://github.com/continuumio/bokeh

Questions can be directed to the Bokeh mailing list: bokeh@continuum.io

Special thanks to recent contributors: Janek Klawe, Samantha Hughes, =
Rebecca Paz, and Benedikt Sauer.

Regards,

Bryan Van de Ven
Continuum Analytics
http://continuum.io=