There will be an introduction to Python programming in the SSRL on Friday, August 27, from 5:30-7:00pm. Please be punctual.
Course materials, including the syllabus and course notes, are available via Blackboard. Be sure to sign up for the class mailing list by following the directions on the syllabus.
All software used in this course should be available in the SSRL. If you want to work at home, please install the free and open source Python 2.6.5 and Numpy 1.4.1. (You can also find these bundled together in the Enthought Python Distribution.) Additionally, you will need the commercial Scientific Notebook, which you will use to write up your homework assignments. (SN is reasonably priced, but MacKichan additionally offers cheap short-term licenses.)
