Wheeler 221: Monday 2 - 5 PM FALL 2012 (CCN #060802)
Python is becoming the de facto superglue language for modern scientific computing. In this course we will learn Pythonic interactions with databases, imaging processing, advanced statistical and numerical packages, web frameworks, machine-learning, and parallelism. Each week will involve lectures and coding projects. In the final project, students will build a working codebase useful for their own research domain.
This class is for any student working in a quantative discpline and with familiarily with Python. Those who completed the Python Bootcamp or equivalent will be eligible.
Advanced Python Language Concepts (geared towards Boot Camp graduates)
notebook | lecture (PDF)
|Sep 10||Advanced versioning, application building (optparse), debugging & testing||Isaac|
|Sep 17||(matplotlib) Advanced plotting and data vizualization, mayavi||Stefan/Paul|
|Sep 24||scipy, numpy, stats||Berian/Brad|
interacting with the world (xml-rpc, urllib, sending and receiving email, serial)
talking to computers (notebook) | audio IO (notebook) | lecture (part 1) | lecture (part 2)
|Oct 8||scikits: image, learn||Stefan/Joey|
|Oct 15||database interaction, large datasets (HDF5)||Josh|
|Oct 22||GUI (Tkinter, GTK, Traits)||Josh|
|Oct 29||parallelization (ipython), cuda||Fernando/Paul|
|Nov 5||web-frameworks (CGI), Flask/Bottle||Josh|
|Nov 19||Symbolic, mathematical and Bayesian programming: simpy, sage, R, rpy2, pyMC/emc||Berian/Josh|
|Nov 26||Cython; wrapper around legacy code -- FORTRAN, C, etc||Stefan|
|Onward||final project work|
Each Monday we will be introducing a resonably self-contained topic with two back-to-back lectures. In between a short (~20 minute) breakout coding session will be conducted. Homeworks will require you to write a large (several hundred line) codebase.
Email us at firstname.lastname@example.org or contact the professor directly (email@example.com). Auditing is not permitted by the University but those wishing to sit in on a class or two should contact the professor before attending.