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

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