jarrod millman

I'm pleased to announce the release of NumPy 1.2.1.

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 bugfix release comes almost one month after the 1.2.0 release.
Please note that NumPy 1.2.1 requires Python 2.4 or greater.

For information, please see the release notes:
https://sourceforge.net/project/show...&group_id=1369

You can download the release from here:
https://sourceforge.net/project/show...?group_id=1369

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/