Python in High-Performance Computing

CET
PRACE Advanced Training Center hosted by CSC - IT Center for Science

PRACE Advanced Training Center hosted by CSC - IT Center for Science

Description

Python is 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.

This course is organised by the PRACE Advanced Training Center hosted by CSC - IT Center for Science.

Prerequisites

Participants are expected to have some experience in computer programming and to be familiar with the basic concepts (e.g. variables, statements, control structures, subroutines) but previous knowledge of Python is not required. Previous experience in high-performance computing (batch systems, MPI, etc.) may be useful.

Program

Day 1, Wednesday April 11

  • Introduction to Python
  • Data types and expressions
  • Control structures
  • Functions and modules
  • File I/O
  • Text processing

Day 2, Thursday April 12

  • Object oriented programming with Python
  • NumPy - fast array interface to Python
Day 3, Friday April 13
  • C extensions for integrating efficient C routines in Python
  • mpi4py - message-passing interface for Python
  • Scipy-package for scientific computinig
  • Matplotlib-package for visualization
Slides
The agenda of this meeting is empty