William, Thanks kindly for your reply. It seems to me that solving this problem is deeply related to getting debian (and gentoo ... and other) packages going.
Good grief but I don't envy trying to build a bridging framework between so many different libraries and programs. My first instinct, when all I saw was the batteries included version, was that you'd have to be nuts to do that. Of course, now I'm thinking you'd be nuts to try to separate the components! I guess the real advantage to a monolithic distribution is that you don't have to play tag with moving targets ... you fix the versions for a release, get everything working, and put it all together. You also save many of your users a HECK of a lot of frustration. The biggest problem is those who want to embed symbolic mathematics in their "regular" Python programs. I.e., say you have a web app that needs to compute Groebner bases (*chuckle* ... I guess that wouldn't be on myspace) ... and you need to be using vanilla python. Or a corporate culture that frowns on libraries, let alone standalone programs. Or, etc. etc. All I can really say is I'm glad you and your colleagues are working on sage. My main area of work is machine learning and that's quite enough math for me. Rolling my own CAS solutions is distinctly unattractive! Thanks for the good work and I'll see what I can contribute to some alternative distribution solutions. Regards, Mark --~--~---------~--~----~------------~-------~--~----~ To post to this group, send email to sage-devel@googlegroups.com To unsubscribe from this group, send email to [EMAIL PROTECTED] For more options, visit this group at http://groups.google.com/group/sage-devel URLs: http://sage.scipy.org/sage/ and http://modular.math.washington.edu/sage/ -~----------~----~----~----~------~----~------~--~---
