Home » Computational Python – 2019

Computational Python

Fully booked

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 data structures, 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. 14 – Oct. 18, 2019.

Contact

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

Application

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Subject of Phd-project:

Indicate also if you apply for a travel grant:
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Notes:

This course is sponsored by eScience collaboration initiative.

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