Trainingskurs "Scientific Python"

18.03.2013 08:00 Uhr
20.03.2013 15:30 Uhr
Ausbildungsraum 2, Jülich Supercomputing Centre, Geb. 16.3, R. 004

(Kurs-Nr. 78/2013 im Trainingsprogramm des Forschungszentrums)


Dr. Olav Zimmermann, Dr. Jan Meinke, JSC


Der Kurs wird auf Englisch gehalten.




3 Tage


18. - 20. März 2013, 9.00 - 16.30 Uhr


Ausbildungsraum 2, Jülich Supercomputing Centre, Geb. 16.3, R. 004



Python is being increasingly used in scientific computing as it is easy to make changes and explore new ideas.
Many Python packages support scientific computing. NumPy provides functionality for working with arrays. SciPy contains functionality for performing common tasks on these arrays, for example linear algebra, optimisation, numerical integration, and much more. Matplotlib is used to produce publication-quality plots.

The course will begin with an overview of NumPy and SciPy and then work along examples targeted at people interested in Python's capabilities and potential applications in their fields.

The course will be structured as follows:

Day 1:

  • When to use Python?
  • SciPy/NumPy overview
  • Working with NumPy arrays and matrices
  • The SciPy modules


  • Matplotlib
  • Integration with other languages (C/C++, Fortran).

Day 3:

  • Depending on the audience the third day will be either dedicated to Life Science applications (e.g. BioPython, MMTK) or interfacing GPUs (pyOpenCL)

This course is aimed at scientists who wish to explore the productivity gains made possible by Python. The course is taught in English.

Basic experience in Python such as provided by the “Einführung in Python” course is assumed.

Anmeldung ist erforderlich bis 4. März 2013!
Der Kurs findet nur statt, wenn sich mindestens 5 Teilnehmer anmelden.

Photo Dr. Olav Zimmermann

Bitte richten Sie Ihre Anmeldung an:

Dr. Olav Zimmermann

Telefon: +49 2461 61-1520


Letzte Änderung: 11.04.2022