Home » Computational Python – 2017

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
  • 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


Basic knowledge of numerical analysis and computer science.


  • Lecture notes and online resources

Course schedule

Lecture week: Stockholm, Oct. 16 – Oct. 20, 2017


Olav Vahtras, KTH
E-mail: vahtras@kth.se,   Phone +46 8 790 9604


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