I'm pleased to announce the release of NumPy 1.1.0.
NumPy is the fundamental package needed for scientific computing with Python. It contains:
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 the first minor release since the 1.0 release in October 2006. There are a few major changes, which introduce some minor API breakage. In addition this release includes tremendous improvements in terms of bug-fixing, testing, and documentation.
For information, please see the release notes: http://sourceforge.net/project/shownotes.php?release_id=602575&group_id=...
Thank you to everybody who contributed to this release.
-- Jarrod Millman Computational Infrastructure for Research Labs 10 Giannini Hall, UC Berkeley phone: 510.643.4014 http://cirl.berkeley.edu/