Pearu Peterson wrote:
Travis Oliphant wrote:
1) There will be a scipy_core package which will be essentially what Numeric has always been (plus a few easy to install extras already in current scipy_core). ... linalg (a lite version -- no fortran or ATLAS dependency)
Again, what would be the underlying linear algebra library here? Numeric uses f2c version of lite lapack library. Shall we do the same but wrapping the c codes with f2py rather than by hand? f2c might be useful also in other cases to reduce fortran dependency, but only when it is critical to ease the scipy_core installation.
If I understand Travis correctly, the idea is to use Numeric as the basis for scipy_core, allowing current Numerical Python users to switch to scipy_core with a minimum of trouble. So why not use Numeric's lite lapack library directly? What is the advantage of repeating the c code wrapping (by f2py or by hand)? --Michiel.