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: http://www.cython.org/ 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. Cheers, f