Computer Science 2500:
Data Analysis with Scripting Languages
(Fall 2010)

http://www.cs.mun.ca/~harold/Courses/CS2500

Instructor	Office	Office Hours	Lectures
Todd Wareham harold@cs.mun.ca	EN-2034 864-4601	TBA	MWF, 11-11:50 am EN-1052

Lecture Outline (Tentative)

• Introduction to Python (2 lectures)
• Basic Python I (File I/O; Control Structures; Basic Types (Numbers, Strings); Complex Types (Lists, Tuples, Dictionaries, Sets); Persistent Object Storage I) (14 lectures)
• Basic Python II (Functions; Modules; Advanced File Access; Regular Expressions and Pattern Matching) (9 lectures)
• Advanced Python (Simple GUI Programming using Tkinter; Numerical Computing using NumPy; Graphical Plotting using Matplotlib; Persistent Object Storage II; Debugging and Optimizing Python Code) (8 lectures)

Evaluation Scheme

Students must pass the final exam to pass the course.

Assignment Deadlines (Tentative)

Lutz, M. (2009) Learning Python (Fourth edition). O'Reilly. [ISBN: 0-596-15806-8]

Recommended Readings

• Langtangen, H.P. (2008) Python Scripting for Computational Science (Third Edition). Texts in Computational Science and Engineering no. 3. Springer; Berlin. [ISBN: 978-3-540-73915-9]
• Lutz, M. (2006) Programming Python (Third edition). O'Reilly. [ISBN: 978-0-596-00925-0]
• Lutz, M. (2010) Python Pocket Reference (Fourth edition). O'Reilly. [ISBN: 978-0-596-15808-8]
• Martelli, A. (2006) Python in a Nutshell (Second edition). O'Reilly. [ISBN: 978-0-596-10046-9]
• Martelli, A., Ravenscroft, A.M., and Ascher, D. (2005) Python Cookbook (Second edition). O'Reilly. [ISBN: 978-0-596-00797-3]

Created: August 13, 2010
Last Modified: September 8, 2010