[SciPy-user] NumPy 1.0.3 release tomorrow, SciPy 0.5.3 next week

[Matthieu Brucher]

That's a packaging problem, no ? If the correct libs are packaged with
scipy, there should not be a problem, shouldn't it ?

Matthieu

2007/5/23, Giulio Venezian <gvenezian at yahoo.com>:
>
> Do these new versions address in any way the system
> crashes that people with AMD chips are experiencing? I
> have been unable to use jn_zeros and jnp_zeros, and
> Ryan Krauss has been struggling with some matrix
> operations.
>
> Giulio Venezian
> --- Travis Oliphant <oliphant.travis at ieee.org> wrote:
>
> >
> > I'd like to tag the tree and make a NumPy 1.0.4
> > release tomorrow.  Is
> > there anything that needs to be done before that can
> > happen?
> >
> > I'd also like to get another release of SciPy out
> > the door as soon as
> > possible.   At the end of this week or early next
> > week.
> >
> > I've added a bunch of 1-d classic spline
> > interpolation algorithms (not
> > the fast B-spline versions but the basic flexible
> > algorithms of order 2,
> > 3, 4, and 5 which have different boundary
> > conditions).  There are
> > several ways to get at them in scipy.interpolate.
> > I've also added my
> > own "smoothest" algorithm which specifies the extra
> > degrees of freedom
> > available in spline formulations by making the
> > resulting Kth-order
> > spline have the smallest Kth-order derivative
> > discontinuity.    I've
> > never seen this described by anyone but I'm sure
> > somebody must have done
> > discussed it before.  If anybody knows something
> > about splines who
> > recalls seeing something like this, I would
> > appreciate a reference.
> > This specification actually allows very decent
> > looking quadratic
> > (2nd-order) splines.
> >
> >
> > Best regards,
> >
> > -Travis
> >
> > _______________________________________________
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> > SciPy-user at scipy.org
> >
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> >
>
>
>
>
>
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