Alex Martelli wrote: > the coverage of Twisted and adding just a few things (numarray -- > perhaps premature to have it _instead_ of Numeric, though; dateutils,
You might want to keep in touch with the scipy/numarray gang on this particular topic. An effort is currently under way to make scipy work with numarray, and matplotlib already works with numarray out of the box. These two facts will, I think, greatly accelerate the adoption of numarray and the transition away from Numeric. There are a few people (like me, unfortunately), who can simply not use numarray because of the small array instatiation overhead. But that subcommunity tends to know enough to be able to deal with the problems by itself. Since numarray is indeed the long-term array core for Python, I think the book would be better off by covering it. Numarray is actively developed, and vastly better documented than Numeric. A mention of the particular problems with numarray might be a good idea, so that readers are aware of Numeric and where it may still be preferable to numarray, but with the understanding that it's a (shrinking) niche. Hopefully one day that niche will shrink to zero, but that is going to take time and work. Finally, I think in this section a mention of the overall scipy project would be a good idea. Scipy is the central meeting point for most scientific computing projects in python, and therefore a natural reference for most users of numarray/numeric. Amongst other useful things at the scipy site, there's a community maintained wiki of links to python-based projects of scientific interest: http://www.scipy.org/wikis/topical_software/TopicalSoftware Regards, f -- http://mail.python.org/mailman/listinfo/python-list
