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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 ...
Wednesday, 29 Mar 2023
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Python in High-Performance Computing @ CSC
From Monday 07 April 2014 -  08:00
To Wednesday 09 April 2014 - 17:00
by  This e-mail address is being protected from spambots. You need JavaScript enabled to view it Hits : 648

 

Python is a modern, object-oriented programming language, which has become popular in several areas of software development. This course introduces the basic concepts of the Python programming language and how it can be used effectively in high-performance computing. Fast array interface (numpy), message-passing interface (mpi4py), and several other useful Python packages such as scipy and matplotlib are introduced. C extension, i.e how to integrate code written in C directly as a part of a Python program, are also shown. Examples include prototyping and solving numerical problems with Python, steering simulations with Python scripts and analyzing results with the help of Python. Course consists of lectures and hands-on exercises.

Learning outcome
After the course the participants should be able to write scripts and small programs with Python and able to utilize some of the key Python packages for scientific computing (numpy, mpi4py, scipy, matplotlib).

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