Computational Python
Fully booked. New applicants will be placed on reserve list
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
- parallel programming
Course main content
Basic to intermediate Python for numerical applications using libraries such as numpy, scipy, pandas; Interfaces with Fortan and C; Data handling
Pre-requisites
Basic knowledge of numerical analysis and computer science.
Literature
- Lecture notes and online resources
Course schedule
Lecture week: Stockholm, Oct. 15 – Oct. 19, 2018
Contact
Olav Vahtras, KTH
E-mail: vahtras@kth.se, Phone +46 8 790 9604
