ANN: wxPython 3.0.1.1

[Robin Dunn]

Announcing
--

wxPython 3.0.1.1 (classic) has been released and is now available for
download at http://wxpython.org/download.php.  This build adds some
updates of the 3rdParty libraries that were left out of the last build
by mistake.

Various binaries are available for 32-bit and 64-bit Windows, and also
for OSX using the Carbon and Cocoa APIs, for Python 2.6 and 2.7.
Source code is also available at http://wxpython.org/download.php of
course, for building your own.


What is wxPython?
-

wxPython is a GUI toolkit for the Python programming language. It
allows Python programmers to create programs with a robust, highly
functional graphical user interface, simply and easily. It is
implemented as a set of Python extension modules that wrap the GUI
components of the popular wxWidgets cross platform library, which is
written in C++.

wxPython is a cross-platform toolkit. This means that the same program
will usually run on multiple platforms without modifications.
Currently supported platforms are 32-bit and 64-bit Microsoft Windows,
most Linux or other Unix-like systems using GTK2, and Mac OS X 10.4+.
In most cases the native widgets are used on each platform to provide
a 100% native look and feel for the application.



--
Robin Dunn
Software Craftsman
http://wxPython.org
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ANN: Bokeh 0.6 release

[Bryan Van de Ven]

On behalf of the Bokeh team, I am very happy to announce the release of Bokeh 
version 0.6!

Bokeh is a Python library for visualizing large and realtime datasets on the 
web. Its goal is to provide to developers (and domain experts) with 
capabilities to easily create novel and powerful visualizations that extract 
insight from local or remote (possibly large) data sets, and to easily publish 
those visualization to the web for others to explore and interact with.

This release includes many bug fixes and improvements over our most recent 
0.5.2 release:

  * Abstract Rendering recipes for large data sets: isocontour, heatmap
  * New charts in bokeh.charts: Time Series and Categorical Heatmap
  * Full Python 3 support for bokeh-server
  * Much expanded User and Dev Guides
  * Multiple axes and ranges capability
  * Plot object graph query interface
  * Hit-testing (hover tool support) for patch glyphs

See the CHANGELOG for full details.

I'd also like to announce a new Github Organization for Bokeh: 
https://github.com/bokeh. Currently it is home to Scala and and Julia language 
bindings for Bokeh, but the Bokeh project itself will be moved there before the 
next 0.7 release.  Any implementors of new language bindings who are interested 
in hosting your project under this organization are encouraged to contact us.

In upcoming releases, you should expect to see more new layout capabilities 
(colorbar axes, better grid plots and improved annotations), additional tools, 
even more widgets and more charts, R language bindings, Blaze integration and 
cloud hosting for Bokeh apps.

Don't forget to check out the full documentation, interactive gallery, and 
tutorial at

http://bokeh.pydata.org

as well as the Bokeh IPython notebook nbviewer index (including all the 
tutorials) at:


http://nbviewer.ipython.org/github/ContinuumIO/bokeh-notebooks/blob/master/index.ipynb

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

conda install bokeh

Alternatively, you can install with pip:

pip install bokeh

BokehJS is also available by CDN for use in standalone javascript applications:

http://cdn.pydata.org/bokeh-0.6.min.js
http://cdn.pydata.org/bokeh-0.6.min.css

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: bo...@continuum.io

If you have interest in helping to develop Bokeh, please get involved!

Thanks,

Bryan Van de Ven
Continuum Analytics
http://continuum.io
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ANN: python-ldap 2.4.16

[Michael Ströder]

Find a new release of python-ldap:

  http://pypi.python.org/pypi/python-ldap/2.4.16

python-ldap provides an object-oriented API to access LDAP directory
servers from Python programs. It mainly wraps the OpenLDAP 2.x libs for
that purpose. Additionally it contains modules for other LDAP-related
stuff (e.g. processing LDIF, LDAP URLs and LDAPv3 schema).

Project's web site:

  http://www.python-ldap.org/

Ciao, Michael.


Released 2.4.16 2014-09-10

Changes since 2.4.15:

Lib/
* New convenience function ldap.dn.is_dn()
* New convenience function ldap.escape_str()
* New convenience methods LDAPObject.read_s() and
  LDAPObject.find_unique_entry()
* Fixed invoking start_tls_s() in ReconnectLDAPObject.reconnect()
  (thanks to Philipp Hahn)

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