This is an archival dump of old wiki content --- see scipy.org for current material

Tutorial Schedule

Note: Tutorial registrations have reached our room capacity, so new registration has been closed for tutorials (7/20/07). There will be a room provided as a sprint/work area during the tutorial days for those who have not yet registered, but want to show up those days and make use of the time during tutorials for sprinting.

Tuesday, August 14

Time

Tutorial

Speaker

Description

8:00am

Sign-in and Breakfast

8:30am

Scientific Computing using IPython/!NumPy/!SciPy/matplotlib/etc.

Fernando Perez & Brian Granger

Introduction to extreme productivity with a powerful tool stack

12:00pm

Lunch

1:30pm

Idiomatic Python

Titus Brown

A more general exploration of advanced features of Python: building your own types, making use of advanced builtin features, etc. See http://ivory.idyll.org/articles/advanced-swc/ for an outline.

Wednesday, August 15

8:00am

Breakfast

8:30am

Wrapping Code with Python

Bill Spotz & Eric Jones

Comparative study of extension module development and code wrapping using weave, f2py, pyrex, ctypes and SWIG. The notes/examples are available for Download here.

12:00pm

Lunch

1:30pm

SciPy for Signal Processing and Image Processing

Travis E. Oliphant

Application of signal processing and image processing libraries to real-world problems. The notes/examples are available for download.

Notes:

Please show up at 8:00am on Tuesday to grab a bagel and get signed in.

Bagels, snacks and lunch will be provided on the two tutorial days.

We had hoped to have 2 tracks, but were not able to get two rooms large enough to hold us. We've pared the list down to 4 half-day tutorials that seemed to have the widest appeal.

"Using SciPy for Statistical Analysis" had been bandied about as a topic, but will instead be addressed a bit differently as a BoF and Sprint for those interested in getting their hands dirty in the scipy.stats code.


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SciPy: SciPy2007/Tutorials (last edited 2015-10-24 17:48:23 by anonymous)