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
• scripts 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

To be announced

Contact

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

Registration

Please apply here before 15 September 2015