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3D Simulations of Jittering-Jets in Core-Collapse Supernovae on Cy-Tera » Dr. Manthos Papadopoulos’ group from the National Hellenic Research Foundati...
3D Simulations of Jittering-Jets in Core Collapse Supernovae on Cy-Tera » Professor Noam Soker and his PhD student were awarded 200,000 CPU hours on C...
BA Access for first-principle studies on two-dimensional and layered materials »   Professor Tsetseris’ novel material group was allocated close to 200...
Cy-Tera Access simulations for swimming biologically inspired robots »   Professor Ekaterinaris’ group were allocated 200,000 CPU hours and p...
The 4th SESAME – LinkSCEEM Summer School (Report) »   Event: The 4th SESAME – LinkSCEEM Summer SchoolDate: 15-17 June, 201...
Report on SESAME-LinkSCEEM HPC Roadshow at Jordan University for Science and Tec... »   Date & Location: Sunday May 4, 11:00 AM, JUST Campus, Salah-Elde...
Discontinuous Galerkin discretizations over two Production calls »   After a successful 1st LinkSCEEM production call application, Profes...
Pressure-velocity coupled high performance CFD modelling – from Preparatory to P... » After an unsuccessful 1st LinkSCEEM/Cy-Tera production call application wher...
An Environmental Science and Technology group from Cyprus progresses from prepar... »   Dr. Daskalakis’ environmental science and technology group started u...
The 4th SESAME – LinkSCEEM Summer School » The 4th SESAME – LinkSCEEM Summer School 15 – 17 June 2014 – Amman, Jordan ...
Sunday, 26 Mar 2023
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Training course: "Scientific Python"
From Monday 18 March 2013 -  08:00
To Wednesday 20 March 2013 - 17:00
by  This e-mail address is being protected from spambots. You need JavaScript enabled to view it Hits : 816

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.

 

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Location : Ausbildungsraum 2, Jülich Supercomputing Centre, building 16.3, room 004

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