1) Have you transitioned or started to transition to NumPy (i.e. import numpy)?

Yes, I've pretty much decided that numpy is the way to go with my young analysis codes, even though it is going to be somewhat painful to distribute to my colleagues and among compute nodes in clusters. I am saved by the fact that we all work within an NFS space, so I can host up-to-date compiles of numpy and scipy without requiring root access nor requiring everyone to compile their own. Of course, I will end up giving them a few lines of LD_LIBRARY_PATH to add. Old codes that used Numeric have all transitioned smoothly to numpy in my internal tests. I may distribute two versions (one Numeric, one numpy) for wider distribution outside my clusters, but there may be a better way to do this.

2) Will you transition within the next 6 months? (if you answered No to #1) 3) Please, explain your reason(s) for not making the switch. (if you answered No to #2) 4) Please provide any suggestions for improving NumPy.

I think NumPy is fantastic. That said, even the fantastic can improve. I am very happy with numpy as software, so my comments are mostly about adoption and accessibility. I'd really like to see the team getting packages (32 and 64 bit) into standard Redhat, Debian, and Fink repositories quickly after a release. I believe Redhat is at numpy 0.9.5 and neither Debian (testing) nor Fink have packages in the default repositories. Having to add extra lines to /etc/apt/sources.list (or Redhat equivalent) to grab packages from private repositories will dissuade a lot of people from adopting numpy. Many of them are the same people who are unable to compile it themselves. Up-to-date packages also help me with my problem in #1 -- an admin will happily yum an rpm for me an all of the cluster nodes, but might not be willing to install it from a nonstandard source. I agree that Googlability is very important and easily addressable. I'm glad someone brought this up. Btw, googling "numpy rpm" brings up http://pylab.sourceforge.net/, which is some more of Travis's old Numeric stuff (labeled as such on the page). Thanks for the hard work in coding and thanks for keeping a thriving discussion list going. Take care, Nick