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/shownotes.php?release_id=636728&group_id=1369 You can download the release from here: https://sourceforge.net/project/showfiles.php?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/ -- http://mail.python.org/mailman/listinfo/python-announce-list Support the Python Software Foundation: http://www.python.org/psf/donations.html
