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)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.PROGRAMDay 1, Tuesday April 16

    Introduction to Python

    Data types and expressions

    Control structures

    Functions and modules

    File I/O

    Text processing

Day 2, Wednesday April 17

    Object oriented programming with Python

    NumPy - fast array interface to Python

Day 3, Thursday April 18

    C extensions for integrating efficient C routines in Python

    mpi4py - message-passing interface for Python

    Scipy-package for scientific computinig

    Matplotlib-package for visualization

DocumentationPythonnumpyscipympi4pymatplotlibLecturers: Jussi Enkovaara (Aalto University), Martti Louhivuori (CSC)Price: Free of charge 

https://events.prace-ri.eu/event/104/