sturlamolden wrote:
> Enthought and similar distros are in my experience "unclean". They
> don't always work and they are difficult to update. I rather download
> the binary installers (for Windows) and install the packages I need.
Right, that's why we (I'm an Enthought employee) haven't been upda
[EMAIL PROTECTED] wrote:
> Thanks a lot for your reply.
> I'll have a look at the numpy-discussion for future issues.
>
> FYI, I'm using Python 2.4.3 for Windows (Enthought Edition) and the
> included IPython shell. I found my mistake; importing of pylab.
> E.g., this works
> from pylab import * ;
On 13 Jul, 22:52, [EMAIL PROTECTED] wrote:
> It seems a bit risky to use 'from scipy import *'. Maybe it's better
> to use 'import scipy' and then scipy.arange, to be sure what is
> actually being used? Would there be any disadvanages with that
> approach, other than more use of the keyboard?
Gen
Thanks a lot for your reply.
I'll have a look at the numpy-discussion for future issues.
FYI, I'm using Python 2.4.3 for Windows (Enthought Edition) and the
included IPython shell. I found my mistake; importing of pylab.
E.g., this works
from pylab import * ; from scipy import * ; y = arange(3) ;
>>> from numpy import *
>>> from numpy.random import *
>>> N = 100
>>> input = sign(randn(N))
>>> a = arange(N)
>>> output = zeros(N)
>>> output[input < 0] = 10 * a[input < 0]
>>> output[input > 0] = 20 * a[input > 0]
>>>
Worked fine for me.
S.M.
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[EMAIL PROTECTED] wrote:
> Being a Matlab user wanting to switch to Python/SciPy,
Fantastic! You might be interested in joining the numpy mailing list. There are
a lot more of us numpy devs and users there than here.
http://www.scipy.org/Mailing_Lists
> I'd like to
> know how the following Mat
