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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@example.com> 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.