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List:       python-announce-list
Subject:    ANN: Bokeh 0.3 released
From:       Bryan Van de Ven <bryanv () continuum ! io>
Date:       2013-11-20 3:00:27
Message-ID: 8CF49A08-CADD-49EC-8B19-1B7669B44A4A () continuum ! io
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All, 

I am pleased to announce the release of Bokeh 0.3! Bokeh is a Python interactive \
visualization library for large datasets that natively uses the latest web \
technologies. Its goal is to provide elegant, concise construction of novel graphics \
in the style of Protovis/D3, while delivering high-performance interactivity over \
large data to thin clients.

If you are using Anaconda, you can install through conda:

	conda install bokeh

Alternatively you can install from PyPI using pip:

	pip install bokeh

This release was largely an internal refactor to merge the BokehJS and Bokeh projects \
into one repository, and to greatly improve and simplify the BokehJS coffee script \
build process. Additionally, this release also includes a number of bug and stability \
fixes, and some enhancements, including:

* bugfixes:
 - #155 ColumnDataSource does not update column_names
 - #150 If you plot circles that all have a position (0,0), there is a crash
 - #117 axis_line_color=None does not work
* enhancements:
 - #157 xaxis, etc should return collection object
 - #129 The sampledata download is confusing
 - #82 Improve hold() functionality in notebook

See the CHANGELOG for full details. 

Several new examples were added including a reproduction of Burtin's Antibiotics, and \
examples of animation using the Bokeh plot server. ColorBrewer palettes were also \
added on the python side. Finally, the user guide has been flushed out and will \
continually be updated as features and API changes are made. Check out the full \
documentation and interactive gallery at

	http://bokeh.pydata.org

The release of Bokeh 0.4 is planned for early January. Some notable features to be \
included are:

* Integrate Abstract Rendering into bokeh server
* Better grid-based layout system; use Cassowary.js for layout solver
* Tool Improvements (pan always on, box zoom always on, passive resize with hot \
                corners)
* Basic MPL compatibility interface (enough to make ggplot.py work)
* Expose image plot in Python interface: Add BSON for sending large data

Issues or enhancement requests can be logged on the Bokeh Github page: \
https://github.com/continuumio/bokeh

Questions can be directed to the Bokeh mailing list: bokeh@continuum.io

Regards, 

Bryan Van de Ven
-- 
https://mail.python.org/mailman/listinfo/python-announce-list

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