[SciPy-dev] Numpy/Cython Google Summer of Code project idea
Thu Mar 6 19:29:15 CST 2008
When I wrap a C package I spend 95% of my time modifying the package to run
as a library and 5% of the time hand-wrapping it for python. I find that
hand-wrapping makes me more aware of the interface than using swig, so I can
recode portions of the library to make the overall package work better. A
quick look at the cyrex documentation makes me wonder if it is primarily
written for those who haven't written much C-code.. Is this an accurate
impression? I don't want to spend time learning another set of syntax to do
something I already know how to do.
On Thu, Mar 6, 2008 at 12:15 PM, Fernando Perez <firstname.lastname@example.org>
> Hi all,
> after the Scipy/Sage Days 8 meeting, we were all very impressed by the
> progress made by Cython. For those not familiar with it, Cython:
> is an evolved version of Pyrex (which is used by numpy and scipy) with
> lots of improvements. We'd like to position Cython as the preferred
> way of writing most, if not all, new extension code written for numpy
> and scipy, as it is easier to write, get right, debug (when you still
> get it wrong) and maintain than writing to the raw Python-C API.
> A specific project along these lines, that would be very beneficial
> for numpy could be:
> - Creating new matrix types in cython that match the cvxopt matrices.
> The creation of new numpy array types with efficient code would be
> very useful.
> - Rewriting the existing ndarray subclasses that ship with numpy, such
> as record arrays, in cython. In doing this, benchmarks of the
> relative performance of the new code should be obtained.
> Another possible project would be the addition to Cython of syntactic
> support for array expressions, multidimensional indexing, and other
> features of numpy. This is probably more difficult than the above, as
> it would require fairly detailed knowledge of both the numpy C API and
> the Cython internals, but would ultimately be extremely useful.
> Any student interested in this should quickly respond on the list;
> such a project would likely be co-mentored by people on the Numpy and
> Cython teams, since it is likely to require expertise from both ends.
> Scipy-dev mailing list
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