NumPy 1.2.0 released

I'm pleased to announce the release of NumPy 1.2.0.

NumPy is the fundamental package needed for scientific computing with
Python.  It contains:

 * a powerful N-dimensional array object
 * sophisticated (broadcasting) functions
 * basic linear algebra functions
 * basic Fourier transforms
 * sophisticated random number capabilities
 * tools for integrating Fortran code.

Besides it's obvious scientific uses, NumPy can also be used as an
efficient multi-dimensional container of generic data. Arbitrary
data-types can be defined. This allows NumPy to seamlessly and
speedily integrate with a wide-variety of databases.

This minor release comes almost four months after the 1.1.0
release. The major features of this release are a new
testing framework and huge amount of documentation work. It
also includes a some minor API breakage scheduled in the
1.1 release.

Please note that NumPy 1.2.0 requires Python 2.4 or greater.

For information, please see the release notes:
http://sourceforge.net/project/shownotes.php?group_id=136...

You can download the release from here:
http://sourceforge.net/project/showfiles.php?group_id=136...

Thank you to everybody who contributed to this release.

Enjoy,

-- 
Jarrod Millman
Computational Infrastructure for Research Labs
10 Giannini Hall, UC Berkeley
phone: 510.643.4014
http://cirl.berkeley.edu/
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