Travis Oliphant wrote:
1) There will be a scipy_core package which will be essentially what Numeric has always been (plus a few easy to install extras already in current scipy_core). It will likely contain the functionality of (the names and placements will be similar to current scipy_core). Numeric3 (actually called ndarray or narray or numstar or numerix or something....) fft (based on c-only code -- no fortran dependency) linalg (a lite version -- no fortran or ATLAS dependency) stats (a lite version --- no fortran dependency) special (only c-code --- no fortran dependency)
That would be great! If it can be installed as easily as Numerical Python (and I have no reason to believe it won't be), I will certainly point users to this package instead of the older Numerical Python. I'd be happy to help out here, but I guess most of this code is working fine already.
2) The rest of scipy will be a package (or a series of packages) of algorithms. We will not try to do plotting as part of scipy. The current plotting in scipy will be supported for a time, but users will be weaned off to other packages: matplotlib, pygist (for xplt -- and I will work to get any improvements for xplt into pygist itself), gnuplot, etc.
Let me know which improvements from xplt you want to include into pygist. It might also be a good idea to move the pygist web pages to scipy.org. --Michiel.