Rahul Garg wrote:
It would be awesome if you guys could respond to some of the following
questions :
a) Can you guys tell me briefly about the kind of problems you are
tackling with numpy and scipy?
I am using both numpy and scipy to solve PDEs in the context of finite
element method
On Saturday 17 November 2007 03:50, Rahul Garg wrote:
a) Can you guys tell me briefly about the kind of problems you are
tackling with numpy and scipy?
Organizing jobs in computational chemistry, and parsing/analyzing the output.
To some extent, also some actual calculations and visualization.
Wouldn't a random or regular subsampling of the set will do the job?
For data interpolation: 2D-Delaunay triangulation based method (I think you can
find one in the scipy cookbook).
Nadav.
-Original Message-
From: [EMAIL PROTECTED] on behalf of Geoffrey Zhu
Sent: Tue 20-Nov-07 19:50
a) Can you guys tell me briefly about the kind of problems you are
tackling with numpy and scipy?
I'm using python with numpy,scipy, pytables and matplotlib for data
analysis in the field of high energy particle physics. Most of the
work is histograming millions of events, fitting functions to
David.Goldsmith wrote:
Chris, just to be clear, this is addressed to the OP, correct?
yes, but if anyone else want to come up with one, that would work too.
-Chris
What would be great is a simple trimmed down example -- a
small-as-you-can-make-it class with a method that shows what you
On Nov 20, 2007 7:33 AM, Lou Pecora [EMAIL PROTECTED] wrote:
Lately, I've been coding up a package to solved
Schrodinger's Equation for 2D arbitrarily shaped,
infinite wall potentials. I've settled on a Boundary
Element Approach to get the eigenfunctions in these
systems. The goal is to
Nadav Horesh wrote:
Wouldn't a random or regular subsampling of the set will do the job?
I have N tabulated data points { (x_i, y_i, z_i) } that describes a 3D
surface. The surface is pretty smooth.
If it's equally smooth everywhere, then yes, a subsampling would work
fine, but I'm
Georg Holzmann wrote:
As chris said, I need to make an example:
http://grh.mur.at/software/numpy2carray.tar.gz
Ah, I see now:
/// @return internal big data without copying
void getBigData(double **mtx, int *rows, int *cols)
{
*rows = drows; *cols = dcols;
*mtx =
Hallo!
As chris said, I need to make an example:
http://grh.mur.at/software/numpy2carray.tar.gz
I added the following class-example:
class_example.h: the C++ code
class_example.i: the SWIG interface file
class_example_usage.py: example usage in python
And some comments:
Bill Spotz schrieb:
Christopher Barker wrote:
For data interpolation: 2D-Delaunay triangulation based method (I think you
can find one in the scipy cookbook).
yup -- but then you need the decimation to remove the unneeded
points. I don't think Scipy has that.
The sandbox does, thanks to Robert Kern. (And I
On 11/20/07, Anne Archibald posted:
Subject:
Re: [Numpy-discussion] OT: A Way to Approximate and Compress a 3D Surface
From:
Anne Archibald [EMAIL PROTECTED]
Date:
Tue, 20 Nov 2007 17:13:31 -0500
To:
Discussion of Numerical Python numpy-discussion@scipy.org
To:
Discussion of Numerical
a) Can you guys tell me briefly about the kind of problems you are
tackling with numpy and scipy?
I'm using python with numpy,scipy, pytables and matplotlib for data
analysis in the field of high energy particle physics. Most of the
work is histograming millions of events, fitting
On Nov 21, 2007, at 10:07 AM, Georg Holzmann wrote:
BTW: what is the difference between PyArray_SimpleNewFromData() and
PyArray_FromDimsAndData() ?
(I don't have this book ...)
PyArray_SimpleNewFromData() is the new version and
PyArray_FromDimsAndData() is the old version :-)
Travis may
13 matches
Mail list logo
