PyCourse -- an introductory course in Python
============================================

These are (currently) two introductory lectures on Python. The first lecture
focuses on the Python language syntax itself, while the second is aimed at
explaining how to use Python for numerical data analysis on a daily basis.

This presentation is distributed in the hope that it will be useful, but
WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.

Installation
============

To compile the TeX source yourself, you need to obtain some images from the 
web. To do this, run the script <getimgs.sh> in the directory 00-imgs/.

Version history
===============

20111109
   * Update presentation 102
   * Added this README

20111104
   * Updated & finalized presentation 101

Copyright
=========

© 2011 Tim van Werkhoven <[email protected]>

This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/ or send a letter to Creative Commons, 444 Castro Street, Suite 900, Mountain View, California, 94041, USA.