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From: Steve L. <lis...@ar...> - 2007-05-10 13:29:55
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Hi, > I noticed on your Web Lab website that you suggest to download the > Enthouhht edition. Although I suggest that to my students for class > as well, we are currently running into some problems as the latest > Enthought edition still includes an old numpy (version less than > 1.0). Some important changes were made just before the 1.0 release, > so please be aware of that. > > Now that we are on the topic, does anybody have good enough > connections with Enthought to convince them to update the > distribution? I can toss-in a box of donuts if that would help, I believe they are working on it, but they're shifting their approach to easily install the individual packages of the distribution individually/together/whatever by using eggs. It's good for the long term, but I guess unfortunate for people looking for the newest/ easiest install in the interim. Still, though, I think I've heard people still having some success by just installing the latest enthought edition. After that, you can pull down numpy/scipy/matplotlib from svn and install each over the old version in enthought. Lastly, Stef Mientki has apparently whipped up a "Portable SciPy" that is meant to be a one-click installer on windows if doing the above is unsatisfactory. Here's his announcement from the SciPy mailing list. """ Portable SciPy, is an easy installer of SciPy for M$ windows users. For this moment, you can find the description page, with all links here http://oase.uci.kun.nl/~mientki/data_www/pic/jalcc/python/ portable_scipy.html For future use, it's advised to always use my redirector page http://pic.flappie.nl/ The simple method described here, can be used to create any set of Python packages + other programs, with just a few lines of code (example available). have fun, and let me hear what you think of it. """" Lastly, I can't really vouch for any of these things since I don't use Windows, hopefully they work easily enough. -steve |