Welcome to the web site for Python for Informatics. The goal of this book is to provde an Informatics-oriented introduction to programming. The primary difference between a computer science approach and the Informatics approach taken in this book is a greater focus on using Python to solve data analysis problems common in the world of Informatics.
The book is a free and open book and is based on the open book titled: "Think Python: How to Think like a Computer Scientist" by Allen B. Downey.Here is the latest version of the book:
https://source.sakaiproject.org/contrib//csev/trunk/pyinf/tex/book.pdf
Here are a set of slides in Keynote for the first 10 chapters of the book.
The sample code and data files for the book is here: Py4Inf Code Samples.
The book is available on the on-demand book printing Espresso Book Machine at the University of Michigan Library. I currently do not have an on-demand print copy available other than on-campus at the University of Michigan. If there is interest in me making arangements fo printable copies of the book through a publisher let me know.
If you want to get the LaTeX source code for the book and the revision history of the book you can view the source code in an SVN repository here:
https://source.sakaiproject.org/contrib//csev/trunk/pyinf/
I am very interested in any comments you might have - please send them via E-Mail to csev at umich.edu.