SciPy 2013 Tutorials Schedule

The conference always kicks off with two days of tutorials. These sessions provide extremely affordable access to expert training, and consistently receive fantastic feedback from participants. This year we are expanding the tutorial session to include three parallel tracks: introductory, intermediate and advanced.

The Tutorials Schedule (June 24th & 25th) is in its final stages of confirmation. There may be changes made to the schedule between now and the conference.

To get the most out of the tutorials, you will need to have the correct software installed and running. Specific requirements for each tutorial are specified in the detailed description for each tutorial. But it's best to start with one of the scientific Python distributions to ensure an environment that includes most of the packages you'll need.

Monday - Jun 24th
Time Introductory Intermediate Advanced
08:00 AM - 12:00 PM Rm 105
NumPy and IPython
- Valentin Haenel
Rm 104
Guide to Symbolic Computing with SymPy
- Ondrej Certik, Mateusz Paprocki, Aaron Meurer
Rm 106
Data Processing with Python
- Ben Zaitlen, Clayton Davis
01:00 PM - 05:00 PM Rm 104
Anatomy of Matplotlib
- Benjamin Root
Rm 105
IPython in depth
- Fernando Perez, Brian Granger
Rm 106
Cython: Speed up Python and NumPy, Pythonize C, C++, and Fortran
- Kurt Smith
Tuesday - Jun 25th
Time Introductory Intermediate Advanced
08:00 AM - 12:00 PM Rm 106
Version Control and Unit Testing for Scientific Software
- Matt Davis, Katy Huff
Rm 105
An Introduction to scikit-learn (I)
- Gaël Varoquaux, Jake Vanderplas, Olivier Grisel
Rm 104
Diving into NumPy code
- David Cournapeau, Stefan Van der Walt
01:00 PM - 05:00 PM Rm 106
Statistical Data Analysis in Python
- Christopher Fonnesbeck
Rm 104
Using geospatial data with python
- Kelsey Jordahl
Rm 105
An Introduction to scikit-learn (II)
- Gaël Varoquaux, Jake Vanderplas, Olivier Grisel