Konrad Hinsen wrote: > MMTK works fine with Numeric 23.x (and probably many other versions), > so I don't see a pressing need to change to NumPy.
Pressing is in the eye of the beholder. However: I don't think we should underestimate the negative impact of the Numeric/numarray split on the usability and perception of the community. Also the impact on how much work has been done to accommodate it. If you consider matplotlib alone: Effort to write the "numerix" compatibility layer Effort to support problems people have with incompatibility Effort to build binaries that support all the packages Effort to do extra testing to determine whether a given problem is caused by a different numerix back-end. This really adds up! Because of this, it IS a pressing need to get as much stuff converted as possible. In addition, as I understand it, MMTK was NOT working fine for the OP. this is also the case for a variety of other codes that depend on Numeric. As robust as they (and Numeric) might be, when you need to run something on a new platform (OS-X - Intel comes to mind), or use a new LAPACK, or whatever, there are going to be (and have been) issues that need to be addressed. No one is maintaining Numeric, so it makes much more sense to put your effort into porting to numpy, rather than trying to fix or work around Numeric issues. This is also a great time to get help with porting issues -- see Travis' recent message. -Chris PS: this really highlights the strength of having good unit tests: as far as i can tell, it's really not that much work to do the port -- the work is in the testing. Comprehensive units tests would make that part trivial too. -- Christopher Barker, Ph.D. Oceanographer NOAA/OR&R/HAZMAT (206) 526-6959 voice 7600 Sand Point Way NE (206) 526-6329 fax Seattle, WA 98115 (206) 526-6317 main reception [EMAIL PROTECTED] ------------------------------------------------------------------------- Take Surveys. Earn Cash. Influence the Future of IT Join SourceForge.net's Techsay panel and you'll get the chance to share your opinions on IT & business topics through brief surveys -- and earn cash http://www.techsay.com/default.php?page=join.php&p=sourceforge&CID=DEVDEV _______________________________________________ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion