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