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? Joris Disclaimer: http://www.kuleuven.be/cwis/email_disclaimer.htm 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
