1. Install mod_python:

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$ sudo zypper in apache2-mod_python

2. Enable mod_python: edit /etc/sysconfig/apache2 and add python to the APACHE_MODULES line, so your line will look like:

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APACHE_MODULES="actions alias auth_basic authn_file authz_host authz_groupfile authz_default authz_user authn_dbm autoindex cgi dir env expires include log_config mime negotiation setenvif ssl suexec userdir php5 python"

3. Run SuSEconfig

4. Configure Apache to handle Python files:

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$ sudo vim /etc/apache2/conf.d/python.conf  # create python.conf file

5. Add the next lines to your python.conf file:

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<Directory /srv/www/htdocs/>
  Options Indexes FollowSymLinks MultiViews
  AllowOverride None
  Order allow,deny
  allow from all
  AddHandler mod_python .py
  PythonHandler mod_python.publisher
  PythonDebug On
</Directory>

6. Restart apache server:

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$ sudo /usr/sbin/rcapache2 restart

7. Create a simple .py file, put it in /srv/www/htdocs/ and test to see if it is working with http://localhost/filename.py:

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def index(req):
  return "It Works: mod_python ENABLED";

The other method is to configure the PSP Handler. PSP means Python Server Pages. PSP files have the extension .psp. If you follow this method it will allow you to include Python code directly in HTML code. To do that, I am sure that google can help you, for me the first method is enough.

That’s all. The above procedure will work also for CentOS, replacing the corresponding commands and the place where the files are.

• Computer Science Education: Where Are the Software Engineers of Tomorrow?
• Teach Yourself Programming in Ten Years
• How To Become A Hacker
• Hacking and Refactoring
• C++: the Ugly Useful Programming Language
• C++ Considered Harmful
• Why Python?

Just some interesting surfaces. The software used is Python and MayaVi. I used the scripting facilities provided by this great visualization tool, called MayaVi.
[flickr]set:72157607934940446[/flickr]

C Example:

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#include<stdio.h>
/*
	Author: Ioan Vancea (www.vioan.ro)
	*****************************/
int main()
{
	FILE *pipe = popen("gnuplot -persist","w");
	fprintf(pipe, "set samples 40\n");
	fprintf(pipe, "set isosamples 40\n");
	fprintf(pipe, "set hidden3d\n");
	fprintf(pipe, "set xrange [-8.000:8.000]\n");
	fprintf(pipe, "set yrange [-8.000:8.000]\n");
	fprintf(pipe, "set zrange [-2.000:2.000]\n");
	fprintf(pipe, "set terminal png\n");
	fprintf(pipe, "set output 'graph.png'\n");
	fprintf(pipe, "set title 'We are plotting from C'\n");
	fprintf(pipe, "set xlabel 'Label X'\n");
	fprintf(pipe, "set ylabel 'Label Y'\n");
	/* fprintf(pipe, "plot 'datafile.dat' using 1:2\n");*/
	fprintf(pipe, "splot cos(x)+cos(y)\n");
 
  close(pipe);
  return 0;
}

The output:

Python Example (I use Gnuplot.py):

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#!/usr/bin/env python
 
'''
	Author: Ioan Vancea (www.vioan.ro)
'''
 
import math
import Gnuplot
gp = Gnuplot.Gnuplot(persist=1)
x = range(1000)
y = [math.sin(a) + math.cos(a) + math.tan(a) for a in x]
data = Gnuplot.Data(x, y, title='Plotting from Python')
gp('set data style lines')
gp('set xlabel "Label x"')
gp('set ylabel "Label y"')
gp.plot(data);
gp.hardcopy(filename="pyplot.png",terminal="png")

The output:

]]> http://www.vioan.ro/wp/2008/09/30/graphics-with-gnuplot-from-c-and-python-language/feed/ 10 http://www.vioan.ro/wp/2008/06/11/installing-enthought-tool-suite-ets-on-opensuse-103/ http://www.vioan.ro/wp/2008/06/11/installing-enthought-tool-suite-ets-on-opensuse-103/#comments Wed, 11 Jun 2008 14:38:59 +0000 ionut http://www.vioan.ro/wp/?p=125 The Enthought Tool Suite (ETS) is a collection of components developed by Enthought to construct custom scientific applications. It includes a wide variety of components, including:

• an extensible application framework
• application building blocks
• 2-D and 3-D graphics libraries
• scientific and math libraries
• developer tools
• MayaVi Data Visualizer

It is available for Linux, Mac OS X and Windows, but they don’t provide binaries for OpenSUSE, I don’t now why.

Here are just some steps to get it running on OpenSUSE 10.3. But, you have to install some packages, check here before to proceed:
My system:

ionut@vaio:~> cat /etc/SuSE-release
openSUSE 10.3 (X86-64)
VERSION = 10.3

I installed the suite in /usr/local/lib64/python2.5/site-packages so, let’s create the directories:

sudo mkdir -p /usr/local/lib64/python2.5/site-packages

Get the souces for ets tool from their repository:

svn co https://svn.enthought.com/svn/enthought/ETSProjectTools/trunk ETSProjectTools

Build ets (it is a kind of wrapper for their repository), a tool that automates the checkout process.

cd ETSProjectTools
python setup.py install

Get the latest souces for the project files, and build the eggs for the components:

ets co ETS
cd ETS_3.0.0b1
svn export https://svn.enthought.com/svn/enthought/sandbox/egg_builder.py
python egg_builder.py

If the build was successful, you would not have received any errors (though there will be one warning at the end about not building egg.info files) and the built eggs would be residing in a directory called dist

Install the eggs in the directory which we created at the beginning:

sudo easy_install -f dist/ -H dist/ ETS

Now you can try some examples which are included:

• check if Traits is working:

python Traits_3.0.0b1/examples/demo/Applications/converter.py

• check if Mayavi is working:

python Mayavi_3.0.0a1/examples/mayavi/scatter_plot.py
python Mayavi_3.0.0a1/examples/mayavi/streamline.py

or just run mayavi2 command.

In my case everything is working fine, I hope that also for you. Here are some references:

• Installation on Ubuntu_7.10_i686
• Installation on Fedora_8_i686
• Source code
  

• Algebra and calculus: Maxima, SymPy
• High precision arithmetic: GMP, MPFR, MPFI, quaddouble, Givaro
• Commutative algebra: Singular
• Number theory: PARI, NTL, mwrank, ECM, FLINTQS, GMP-ECM
• Exact linear algebra: LinBox, IML
• Group theory: GAP
• Scientific computation: GSL, SciPy, NumPy, cvxopt
• Statistical computation: R
• Graphics (2d and 3d): Matplotlib, Tachyon3d, Jmol

Sage has a highly developed unified collection of pseudo-tty based interfaces that make it is possible to make extensive use of Maple, Mathematica, Magma, Matlab, GAP, Maxima, Singular, PARI, and many other systems from anywhere within a single Sage program.” It is available for Linux, Mac OS X and Windows or you can download the source code.

Check here for a short overview or check Sage webpage for more.