On Mon, Apr 5, 2010 at 8:40 AM, Charles R Harris <charlesr.harris@gmail.com> wrote:
Hi All,

David Cournapeau has mentioned that he would like to have a numpy math library that would supply missing functions and I'm wondering how we should organise the source code. Should we put a mathlib directory in numpy/core/src? Inside that directory would be functions for single/double/extended/quad precision. Should they be in separate directories? What about complex versions? I'm thinking that a good start would be to borrow the msun functions for doubles. We should also make a list of what functions would go into the library and what interface the complex functions present.


For starters: you talking things like Airy, Bessel, Gamma, stuff like that?



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