[Numpy-discussion] Going toward time-based release ?

[Jarrod Millman]

On Mon, May 12, 2008 at 10:02 AM, Christopher Hanley <chanley at stsci.edu> wrote:
>  One circumstance in which you would need to upgrade is if you distribute
>  software with a numpy dependency.  If your user base upgrades to the
>  latest numpy release, and that latest release breaks your code, you will
>  have unhappy users.

I see, the issue is whether you(plural) will need to update your code
base to support your users who may have updated to a new NumPy/SciPy
release.  This concern really goes to whether we should ever break
code with our releases, which is orthogonal to whether we should try
using a time-based release cycle.

It is very clear that our users are not happy with the amount of API
breaks in 1.1.  All I can say, is that I am sorry that the current
release is going to break some code bases out there.  I am trying to
figure out if there is a way to mitigate the problems caused by this
release and would be happy to hear comments about how we could best
reduce the problems caused by this release.  In particular, it would
be useful if I could get some feedback on my suggestion about the MA
transition.

Thanks,

-- 
Jarrod Millman
Computational Infrastructure for Research Labs
10 Giannini Hall, UC Berkeley
phone: 510.643.4014
http://cirl.berkeley.edu/