[SciPy-dev] Volunteer for Scipy Project

Charles R Harris charlesr.harris@gmail....
Mon Oct 5 19:16:50 CDT 2009

On Mon, Oct 5, 2009 at 3:20 PM, Anne Archibald <peridot.faceted@gmail.com>wrote:

> 2009/10/5 David Goldsmith <d.l.goldsmith@gmail.com>:
> > Just curious, Anne: have you anything in particular in mind (i.e., are
> there
> > some small - or gaping - holes in scipy (IYO, of course) which you know
> > could be filled by a careful implementation of something(s) extant in the
> > literature)?
> Well, not exactly - the examples I had in mind were minor and/or in
> the past. I ran into problems with scipy's hyp2f1, for example, so I
> went and looked up the best algorithm I could find for it (and I think
> I contributed that code). I wanted the Kuiper test as an alternative
> to the Kolmogorov-Smirnov test (it's invariant under cyclic
> permutations, and is sensitive to different features of the
> distribution) so I looked up the test and the special function needed
> to interpret its results. (I haven't contributed this to scipy yet,
> mostly because I chose an interface that's not particularly compatible
> with that for scipy's K-S test.) And on a larger scale, that's what
> scipy.spatial's kdtree implementation is.
> For examples where I think a bit of lit review plus implementation
> work might help, I'd say that the orthogonal polynomials could use
> some work - the generic implementation in scipy.special falls apart
> rapidly as you go to higher orders. I always implement my own
> Chebyshev polynomials using the cos(n*arccos(x)) expression, for
> example, and special implementations for the others might be very
> useful.
At what order does the scipy implementation of the Chebyshev polynomials
fall apart? I looked briefly at that package a long time ago, but never used
it. I ask so I can check the chebyshev module that is going into numpy.

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