Hi all, As threatened, the new Moin wiki has taken over the SciPy.org site. The migration has proven even more complicated than anticipated (and I anticipated a lot of complexity), so some services remain on the old server as of this morning. This will be wrapped up later today, after I get some sleep. Some of the things that have gone well: - The wiki is great. Andrew and Oliphant and lots of others did a fantastic job on it. - Mailing list archive links have an accurate Moved Temporarily redirect (i.e. google links to scipy archives will continue to work). I need to hash out with Travis how he'd like to handle the mailing list archives going forward, as he wrote the scripts that integrated them into Plone, and obviously those aren't going to work in Moin. I wrote something in Perl in the meantime, but I imagine that'll go away as soon as Travis becomes aware of it. - It will be possible to redirect most "sections" of the old plone site to a similar section on the Moin site...I just need to figure out which sections from Plone apply to what in the Wiki. This will be a time-consuming thing, but is probably worth the trouble in order to keep some google links working reasonably well some of the time. Some things that remain outstanding: - Mail and list migration. I don't expect trouble with this, it just takes a long time, and requires attention to a lot of boring details. - Takeover of the old IP, so that DNS service for the "scipy.org" domain is taken over by the new server. This one is moderately tricky, since we have a half-dozen delegated domains for the other projects hosted on the server (ipython, neuroimaging, etc.). Those have to be merged back into the scipy zone. I'm sure there are problems somewhere...But it's running relatively well, with at least working content everywhere I thought to poke. Holler if you see anything glaringly stupid caused by the change. Thanks!
On Jan 31, 2006, at 10:04 AM, Ed Schofield wrote:
Joe Cooper wrote:
As threatened, the new Moin wiki has taken over the SciPy.org site.
I think it looks great, and I'm happy that the new SciPy and NumPy have an "official" home, so I can start having all my developers install consistent releases and get past the Numeric/numarray confusion that has been causing trouble. I'm sure the transition to NumPy will take some work, but so far I haven't had many problems. (BTW, does SciPy 0.4.4 require NumPy 0.9.2, or will NumPy 0.9.4 work? If not, when will a SciPy release be made that supports NumPy 0.9.4?) However, one problem with the pretty front page image is that it doesn't work with the new SciPy! xplt has been removed from the default build, and relegated to the sandbox. This is fine, as matplotlib is the preferred plotting interface. Thus, I think the image should be changed to something that will actually work. (I realize this may be tricky since SciPy no longer does graphics, and graphics are pretty, and you probably don't want to have the SciPy front page highlight something that is really in matplotlib, not SciPy.) I'm not sure what the best solution is, but it brings up a question I have. What is the currently favored way to make a simple 3-d surface plot like the one of the bessel function on the front page? I didn't see that capability in matplotlib, but perhaps I missed it. If they had it, you would think there would be a 3-d plot screenshot, but there isn't: http://matplotlib.sourceforge.net/screenshots.html Any suggestions for easy 3-d surface plots of numpy arrays? Cheers, -- Paul -- Dr. Paul S. Ray E-mail: Paul.Ray@nrl.navy.mil Naval Research Laboratory WWW : http://xweb.nrl.navy.mil/ personnel/paulr/ Code 7655 Phone : (202) 404-1619 Washington, DC 20375 AIM : NRLPSR
"Paul" == Paul Ray <Paul.Ray@nrl.navy.mil> writes:
Paul> On Jan 31, 2006, at 10:04 AM, Ed Schofield wrote: Paul> I'm not sure what the best solution is, but it brings up a Paul> question I have. What is the currently favored way to make Paul> a simple 3-d surface plot like the one of the bessel Paul> function on the front page? I didn't see that capability in Paul> matplotlib, but perhaps I missed it. If they had it, you Paul> would think there would be a 3-d plot screenshot, but there Paul> isn't: http://matplotlib.sourceforge.net/screenshots.html Paul> Any suggestions for easy 3-d surface plots of numpy arrays? You might find this of use: http://www.enthought.com/enthought/wiki/TVTK For specific examples of the kind seen in page, see here: http://www.enthought.com/enthought/wiki/TVTKIntroduction#tools-mlab Read the example source code here: http://www.enthought.com/enthought/browser/trunk/src/lib/enthought/tvtk/tool... TVTK itself works with numpy arrays but getting the rest of the enthought tool suite to build cleanly is problematic since it relies on scipy_distutils. If you do choose to check out the SVN tree you might want to look at Pearu's lib_numpy branch here: http://www.enthought.com/enthought/browser/branches/pearu/lib_numpy HTH. cheers, prabhu
participants (4)
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Ed Schofield -
Joe Cooper -
Paul Ray -
Prabhu Ramachandran