[EMAIL PROTECTED] wrote: >Hi, > > [TO]: NumPy uses Numeric's old wrapper to lapack algorithms. > [TO]: > [TO]: SciPy uses it's own f2py-generated wrapper (it doesn't rely on the > [TO]: NumPy wrapper). > [TO]: > [TO]: The numpy.dual library exists so you can use the SciPy calls if the > [TO]: person has SciPy installed or the NumPy ones otherwise. It exists > [TO]: precisely for the purpose of seamlessly taking advantage of > [TO]: algorithms/interfaces that exist in NumPy but are improved in SciPy. > >This strikes me as a little bit odd. Why not just provide the best-performing >function to both SciPy and NumPy? Would NumPy be more difficult to install >if the SciPy algorithm for inv() was incorporated? > >
The main issue is that SciPy can take advantage and use Fortran code, but NumPy cannot as it must build without a Fortran compiler. This is the primary driver to the current duality. -Travis Using Tomcat but need to do more? Need to support web services, security? Get stuff done quickly with pre-integrated technology to make your job easier Download IBM WebSphere Application Server v.1.0.1 based on Apache Geronimo http://sel.as-us.falkag.net/sel?cmd=lnk&kid=120709&bid=263057&dat=121642 _______________________________________________ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
