Hi everybody, You probably all know Travis Oliphant's SpecialFuncs (previously called cephes) module, which contains a large number of special functions. Currently it is not easy to install this module, since SpecialFuncs became a part of SciPy, which is great in itself but cannot be installed easily as other parts of SciPy depend on a host of other packages. As Scipy will get extended in the future, this problem will only get worse. Recently I have been asked several times for such a module for special functions, but I don't know where I can refer people to without qualms, especially for newbies. Since the 'cephes' part of SpecialFuncs is basically an extension of umathmodule.c in numpy, it seems that numpy would be the natural place for cephes. So I would suggest to integrate cephes with numpy, either by adding cephes' special functions to umathmodule.c or as a separate module (similar to the LinearAlgebra or RandomArray parts of numpy). In the process, we can solve some installation problems in cephes which seem to be recurring frequently (see the numpy mailing list for some examples). For the moment, I slapped together a version of the cephes module that can be installed more easily; however, I would think it is better to do this the right way and to avoid multiple variations of basically the same package floating around in cyberspace. Any opinions on this? If this seems like a good idea, I'd be happy to do some additional coding if needed to set this up, though Travis Oliphant has basically done everything already so I wouldn't think much further coding is needed. --Michiel de Hoon, University of Tokyo. -- Michiel de Hoon, Assistant Professor University of Tokyo, Institute of Medical Science Human Genome Center 4-6-1 Shirokane-dai, Minato-ku Tokyo 108-8639 Japan http://bonsai.ims.u-tokyo.ac.jp/~mdehoon