[SciPy-User] ANN: pandas 0.7.2 released

[Wes McKinney]

hi all,

I'm pleased to announce the pandas 0.7.2 release. Like prior
releases this includes a handful of bug fixes from 0.7.1, some
performance enhancements, and new features. This release is
recommended for all pandas users.

Major work is underway for pandas 0.8.0, hopefully to be released
at the end of April. In particular, the time series capabilities
are seeing significant work, incorporating the new NumPy
datetime64 dtype and features which have been available in
scikits.timeseries but not in pandas. See the issue tracker for a
full of list planned new features and performance/infrastructural
improvements. If you are interested in becoming more involved
with the project, the issue tracker (which is really the TODO
list!) is the best place to start.

See Adam Klein's post http://blog.adamdklein.com/?p=582 for more on the
ongoing time series work.

Also, my video from PyCon may be of interest to some:

http://pyvideo.org/video/696/pandas-powerful-data-analysis-tools-for-python

Note that pandas has a new mailing list!
http://groups.google.com/group/pydata . There is also a new
#pydata channel on irc.freenode.net.

Thanks to all who contributed to this release!

- Wes

What is it
==========
pandas is a Python package providing fast, flexible, and expressive
data structures designed to make working with “relational” or
“labeled” data both easy and intuitive. It aims to be the fundamental
high-level building block for doing practical, real world data
analysis in Python.

Links
=====
Release Notes: http://github.com/pydata/pandas/blob/master/RELEASE.rst
Documentation: http://pandas.pydata.org
Installers: http://pypi.python.org/pypi/pandas
Code Repository: http://github.com/pydata/pandas
Mailing List: http://groups.google.com/group/pydata
Blog: http://blog.wesmckinney.com