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: * 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 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=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/
Thanks, Jarrod. Should I replace the old numpy 1.0.4 information at http://www.scipy.org/Download with the 1.1.0? It's still listing 1.0.4, but I wonder if there's some compatibility with scipy 0.6 issue that should cause it to stay at 1.0.4. In either case, I think the page should be updated -- particularly as searching Google for "numpy download" results in that page as the first hit. -Andrew Jarrod Millman wrote:
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:
* 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 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=1369
Thank you to everybody who contributed to this release.
Enjoy,
On Thu, May 29, 2008 at 7:57 AM, Andrew Straw <strawman@astraw.com> wrote:
Should I replace the old numpy 1.0.4 information at http://www.scipy.org/Download with the 1.1.0? It's still listing 1.0.4, but I wonder if there's some compatibility with scipy 0.6 issue that should cause it to stay at 1.0.4. In either case, I think the page should be updated -- particularly as searching Google for "numpy download" results in that page as the first hit.
No, I will take care of it. I was away from home and decided to make a relatively quiet release, since I might not be able to respond in case their were problems. I only sent the email to the NumPy discussion list hoping that if there were problems the people on the list could sort things out. I just got home and plan to take some time today to make the announce the new release more widely. Thanks, -- Jarrod Millman Computational Infrastructure for Research Labs 10 Giannini Hall, UC Berkeley phone: 510.643.4014 http://cirl.berkeley.edu/
On Thu, May 29, 2008 at 3:37 PM, Jarrod Millman <millman@berkeley.edu> wrote:
On Thu, May 29, 2008 at 7:57 AM, Andrew Straw <strawman@astraw.com> wrote:
Should I replace the old numpy 1.0.4 information at http://www.scipy.org/Download with the 1.1.0? It's still listing 1.0.4, but I wonder if there's some compatibility with scipy 0.6 issue that should cause it to stay at 1.0.4. In either case, I think the page should be updated -- particularly as searching Google for "numpy download" results in that page as the first hit.
No, I will take care of it. I was away from home and decided to make a relatively quiet release, since I might not be able to respond in case their were problems. I only sent the email to the NumPy discussion list hoping that if there were problems the people on the list could sort things out. I just got home and plan to take some time today to make the announce the new release more widely.
I updated the download page and inserted an announcement this morning. Where are the problems? Andrew, your buildbot clients are offline, it that intentional? Chuck
On Thu, May 29, 2008 at 2:59 PM, Charles R Harris <charlesr.harris@gmail.com> wrote:
No, I will take care of it. I was away from home and decided to make a relatively quiet release, since I might not be able to respond in case their were problems. I only sent the email to the NumPy discussion list hoping that if there were problems the people on the list could sort things out. I just got home and plan to take some time today to make the announce the new release more widely.
I updated the download page and inserted an announcement this morning. Where are the problems?
Thanks, you beat me to it. I am not aware of any problems, but I wanted to make sure I could respond quickly in case, for example, I had uploaded a wrong file or one of the files was corrupt. Since I was at a meeting in St. Louis, I wasn't sure that I would be able to. I am back home and should be online most of the time now. -- Jarrod Millman Computational Infrastructure for Research Labs 10 Giannini Hall, UC Berkeley phone: 510.643.4014 http://cirl.berkeley.edu/
participants (4)
-
Andrew Straw -
Charles R Harris -
Jarrod Millman -
Stéfan van der Walt