Table of Contents

Libs and Tips

Speeding up Numpy and Scipy

with Intel MKL and OpenMP

Test numpy and scipy

>>> import Numpy
>>> numpy.show_config()
>>> numpy.test()
>>>
>>> import scipy
>>> scipy.test()
Which module is used?

To determine which python module is used, the preinstalled, the owne (user lib) or something else. 

>>> import a_module
>>> print a_module.__file__
Installed Libs/Packages

!!!!Pizza.py (v. 0.1.0) http://pizza.sandia.gov/ Pre- and post-processing capability for the LAMMPS molecular dynamics, ChemCell cell modeling, and SPPARKS kinetic Monte Carlo packages. 

pip install Pizza.py

Way to Check the Way to install Python Packages

1. aptitude

Check if there is a System-Package available/installed (if there is one installed you can't install/update this package. Ask your System Administrator).
In Aptitude call the search with /

2. pip

Check if there is a Python-package in the pip-system available pip search name (find the fitting name in the Internet, be creative)
Install the Package to your home directory (see above: Install Libs in a user environment)

3. Nothing in pip :(

Find and download the python-package, uncompress it and run (hopefully) python setup.py install –user
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