Home » Computational Python – 2017

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. 16 – Oct. 20, 2017

Contact

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

Registration

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