Computational Python

Learning outcomes

After having completed the course the student will be able to use python scripts for tasks involving

• numerical problems using object orientational principles,advanced datastructures, classes and overloading operators
  
• cripts for parameter studies with external software
• extract information from unformatted data files
• interfaces with numerical packages blas and lapack
• interfaces with compiled languages
• graphical interfaces

Course main content

Basics of python and its relation to perl and awk; Numerical python (numpy); Interfaces with Fortan and C; GUI programming; Data handling

Pre-requisites

Basic knowledge of numerical ananlysis and computer science. Basic knowledge of UNIX.

Literature

• Hans-Petter Langtangen: Python scripting in computational science, 3rd edition (2007)
  
• Lecture notes

Course schedule

1 week pre-study exercises 30 September – 4 October 2013
1 week of lectures and hands-on 7-11 October 2013 at KTH Royal Institute of Technology
1 week project assignment 14-18 October 2013

Contact

Olav Vahtras, KTH
E-mail: vahtras@kth.se,   Phone +46 8 55378415

Registration

Send an e-mail to vahtras@kth.se  with the following information:

• SeSE, Computational Python
• Name
• e-mail (You must use your university email address, not gmail, yahoo, hotmail etc.)
• Affiliation
• Supervisor
• Subject of PhD-project.

Indicate also if you apply for a travel grant.

Deadline for registration:  23 September 2013