Hi,
I am investigating the use of ctypes to write C extensions for
numpy/scipy. First, thank you for the wiki, it makes it easy to
implement in a few minutes a wrapper for a C function taking arrays as
arguments.
I am running recent SVN version of numpy and scipy, and I couldn't
make l
If you do this:>>> numpy.linalg.eig(numpy.random.rand(3,3))You'll (almost always) get a wrong answer back from numpy. Something like:(array([ 1.72167898, -0.07251007, -0.07251007]), array([[
0.47908847, 0.72095163, 0.72095163], [ 0.56659142, -0.46403504, -0.46403504], [ 0.67040914
On 8/17/06, Robert Kern <[EMAIL PROTECTED]> wrote:
David Grant wrote:> Hello all,>> I had a massive memory leak in some of my code. It would basically end> up using up all 1GB of my RAM or more if I don't kill the application. I> managed to finally figure out which portion of the code was causing t
David Grant wrote:
> Hello all,
>
> I had a massive memory leak in some of my code. It would basically end
> up using up all 1GB of my RAM or more if I don't kill the application. I
> managed to finally figure out which portion of the code was causing the
> leak (with great difficulty) and have
Hello all,I had a massive memory leak in some of my code. It would basically end up using up all 1GB of my RAM or more if I don't kill the application. I managed to finally figure out which portion of the code was causing the leak (with great difficulty) and have a little example which exposes the
I'm contemplating upgrading to 1.0b2. The main reason is that I am experiencing a major memory leak and before I report a bug I think the developers would appeciate if I was using the most recent version. Am I correct in that the only major change that might actually break my code is that the follo
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Hi,
I just ran convertcode.py on my code (from the latest svn source
of numpy) and it looks like it just changed the import statements to
import numpy.oldnumeric as Numeric
So it doesn't look like it's really helping me move over to the
new usage. Is there a script that will c
In BibTeX format.
fwiw,
Alan Isaac
@MANUAL{Oliphant:2006,
author = {Oliphant, Travis E.},
year = 2006,
title= {Guide to NumPy},
month= mar,
address = {Provo, UT},
institution = {Brigham Young University}
}
@ARTICLE{Dubois+etal:1996,
author = {Dub
What happened to numpy.bool8? I realize that bool_ is just as good. I
was just wondering what motivated the change?
Chris
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