kirby urner wrote: >>Is there a mechanism to con Numeric here? >> >>Art >> >> > >I'm interested in your question and therefore presumably in the >answer. However, I'm not running Numeric these days, for the simple >reason that it's not currently a part of my Python curriculum. > > Appreciate your interest. I think it is an interesting question in that it in some sense represents a clash between "technical" typing and duck typing. My mutable complex number quacks (almost) exactly like the immutable one, and usually in Python that might be enough to have it accepted as being of the same type. Numeric seems to be catching me on a technicality. Technology seems to full of the damn things ;)
The array object of Numeric is actually the C multiarray object. And Numeric is perhaps thinking more in C than in Python in using a technical rather than functional definition of type. Unfortunately it seems to be a bit too daunting to me to attempt to follow the trail into the C code to try to track down the error that's generated when I (innocently ;) try to cast an array of the mutable complex numbers to the Numeric complex array type. Neither have I tried yet to see if the more recent numarray and numpy libraries behave any differently here. >We create a matrix object, maybe a quaternion object, in order to >rotate our polyhedron objects (assemblages of face-defining tuples, >each element a vertex in a dictionary of vectors -- e.g. the 26 A-Z of >the concentric hierarchy): > >http://www.4dsolutions.net/ocn/oop7.html (see graphic top right). > >So I don't need linear algebra from Numeric at this time, nor any of >its other resources. Not saying I won't in future. Numpy is cool >stuff. > > > I actually think your way is best to achieve ultimate transparency for pedagogical purposes, even at the sacrifice of performance. I am more and more thinking that a good deal of Numeric is overkill for my purposes as well - sacrificing transparency for what is probably not tremendous performance benefits when I am dealing only in 2x2, 3x3 and 4x4 arrays. Since Numeric is designed as a general use library, it needs to spend some time determining what it is looking at when, for example, doing linear algebra - what shape are the arrays it is looking at, what type, etc. In the controlled environment that I am working in in PyGeo I know what I am sending along, so I think I can gain some of the time back that I would be loosing in going from C to Python simply because I can design things in a way where little is general, everything is specific - we know what we are getting because we are sending it. Have been experimenting with all this, as it happens. Art >Kirby > > > > _______________________________________________ Edu-sig mailing list [email protected] http://mail.python.org/mailman/listinfo/edu-sig
