I'm pleased to announce the release of NumPy 1.0.4. 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 is largely a bug fix release with one notable improvements: - The NumPy and SciPy developers have decided to adopt the Python naming convention for classes. So as of this release, TestCase classes may now be prefixed with either 'test' or 'Test'. This will allow us to write TestCase classes using the CapCase words, while still accepting the old style names. For information, please see the release notes: http://sourceforge.net/project/shownotes.php?release_id=552568&group_id=1369 Thank you to everybody who contributed to the recent release. Enjoy, -- Jarrod Millman Computational Infrastructure for Research Labs 10 Giannini Hall, UC Berkeley phone: 510.643.4014 http://cirl.berkeley.edu/