jarrod millman

I'm pleased to announce the release of NumPy 1.1.1.

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.

Numpy 1.1.1 is a bug fix release featuring major improvements in
Python 2.3.x compatibility and masked arrays. For information,
please see the release notes:
http://sourceforge.net/project/shown...ease_id=617279

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/