rex wrote:
David Cournapeau <david@ar.media.kyoto-u.ac.jp> [2007-01-23 23:40]:
rex wrote:
Robert Kern <robert.kern@gmail.com> [2007-01-23 22:18]:
You need to install the development package for Python. Usually it's named something like python2.5-devel.
Thank you. Did that, and NumPy compiled with a Brazillion warnings, but no errors.
Then I did: export LD_RUN_PATH=/opt/lib:/opt/intel/cc/9.1.042/lib:/opt/intel/mkl/8.1/lib/32 (because I used the Intel defaults, and those are the correct paths)
But since the SUSE NumPy rpm is also installed, how do I determine which version is loaded when the command: from numpy import * is issued in python? Subjectively, it appears the new version is not being used. I expect a significant speed difference using the Intel compiler and MKL on a Core 2 Duo.
Why is this so difficult?
It is somewhat difficult to do something somewhat complicated :) In your case, one solution to set the dir where numpy is installed is to use the env variable PYTHONPATH.
But installing software is typically easy for Windows users. IMO, the difficulty of installing Linux applications is a huge barrier to wider adoption of Linux. I started trying Linux in 1994, and stopped using Windows entirely in 1999. I'm old (66), and becoming dumber as my brain shrinks, but I'm still reasonably sharp (or so I like to think). Over the years, NumPy and SciPy have been very difficult to install for me using SUSE (the SUSE developers have different ideas of what paths should be from most of the rest of the world. If I were King I'd lock 'em all in a room and tell them that if they could not agree on a directory structure for Linux in 48 hours, they would all be killed. Impending death tends to focus attention on the problem.)
Two of my two closest friends have advanced degrees. One is a PhD in orbital mechanics from UCSD, and the other did everything for a PhD in computer science but complete his thesis. Both have tried Linux repeatedly, but found it to require more effort to install and maintain than they are willing to expend. If people of this caliber are repelled by Linux, I think developers need to wake up and smell the coffee. When people with PhDs in science are turned off by the difficulty the problem needs to be addressed.
To check which numpy you use, you can simply do a import numpy; print numpy, which should print the full path,
import numpy print numpy
<module 'numpy' from '/usr/lib/python2.5/site-packages/numpy/__init__.pyc'>
What am I to make of this? Is it the rpm numpy or is it the numpy I built using the Intel compiler and MKL?
Thanks for the reply, but I'm still confused.
-rex
Try import scipy print scipy.__version__ import numpy print numpy.__version__ Also very helpful is the output of numpy.show_config() scipy.show_config() Here I get
import scipy print scipy.__version__ 0.5.3.dev2602
Nils