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=1369&release_id=628858 You can download the release from here: http://sourceforge.net/project/showfiles.php?group_id=1369&package_id=175103 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/