The goal of this site is to provide a set of materials in support of my Python for Informatics: Exploring Information book to allow you to learn Python on your own. This page serves as an outline of the materials to support the textbook.
New: The book is being converted into Python 3 and here is how you could help us with the conversion.
You can download the exercises, audio, and video lectures to your local computer so you can play them locally. This can be done with either a Right-Click or a Control-Click in most browsers.
Get your copy of the Python for Informatics: Exploring Information.
Install the appropriate version of Python and a text editor for your system following these instructions.
Download Sample code from the book.
Play with the Auto-grader and write a "hello world" program.
The course slides have been converted to Google drive and are being translated into 30 languages.
When I teach from this book I spend two weeks on Internet History, Technology, and Security between Chapters 11 and 12. Talking about history and technology allows the students to take a mental break from programming and lays the ground work for the second half of the book.
Here is an archive of the live lecture recordings from SI502 at the UM School of Information Fall 2015.
Here are archive copies of the various audio, video, PowerPoints, PDFs and closed caption files if you want to reuse these materials in your own courses. All this material (including audio and video) is Copyright Creative Commons Attribution 3.0 unless otherwise indicated.
Here are the materials for the Big Data Workshop.