A collection of code examples for training purposes, mostly in the context of data processing and parallel programming.

This material is made available as is, i.e., anyone is welcome to use it, and to contribute. However, no support is guaranteed in any form. All material is subject to the license included in this repository.

Tips and tricks can be found on this repository's website but also in a cheat sheet repository.

An overview of all off-the-shelf training sessions is also available online.

Accelerators: some sample code and information on using accelerators.

C: presentation based "The C programming language" by Kernighan and Ritchie, as well as sample code to illustration the concepts.

CPlusPlus: presentation based on "A tour of C++" by Stroustrup, as well as sample code to illustrate the concepts. This part of the repository is considered obsolete and has been replaced by another repository for a C++ for scientific programming training. See

• training website
• repository

DataStorage: sample code showing how to read/write HDF5 and NetCDF files from C, Fortran, and Python. HDF5 can be used for parallel I/O, C sample code is provided. The HDF5 material is part of a tutorial on that subject. Sample code on how to interact with a redis data structure server is also provided, illustrating the hiredis C API. Sample SQL covers the basics of querying relational databases

Debugging: slides used for an info session on debugging tools and techniques, as well as sample code. This part of the repository is supplemented by the following repository:

• Defenesive programming and debugging

Fortran: presentation on "Modern Fortran" as well sample code intended to illustrate Fortran 95, 2003, and 2008 features. This section of the repository has been superceeded by two other repositories:

• Fortran for programmers
  • website
  • repository
• Fortran MOOC
  • website
  • repository

Java: sample code mostly for demonstration purposes.

LinuxTools: some illustrations of using Linux tools such as the M4macro processor, make files and autotools, as well as slides on version control using svn and git.

Math: sample code for using various mathematical libraries.

Misc: catch-all for one-time presentations, or special sessions.

Mpi: illustration of distributed programming using the Message Passing Interface API.

OpenMP: sample code for OpenMP.

Optimization: illustrations of performance optimization opportunities. This section of the repository has been superceeded by a training repository on code optimization.

• website
• repository

PBS: sample PBS torque batch scripts to illustrate features.

Python: sample code to explore various Python features, standard library packages and third party libraries. Most of this material is used in a tutorial on using Python for scientific data processing. This part of the repository has in large part been superceeded by various training repositories dedicated to specific Python-related topics.

• Python for programmers
  • repository
• Scientific Python
  • website
  • repository
• Python for data science
  • website
  • repository
• Python for machine learning
  • website
  • repository
• Python for HPC
  • website
  • repository
• Python for systems programming
  • website
  • repository
• Python software engineering
  • website
  • repository

R: some very simple illustrations of how to run R scripts from the command line, and to submit as (PBS) jobs

Virtualization: Information on how to use Singularity. This part of the repository has been superceeded by a training repository on using containers for HPC.

• website
• repository

Visualization: data files, XDMF files and ParaView state files to use during a demo of scientific visualization with ParaView.

• Geert Jan Bex ([email protected]), Hasselt University/University of Leuven
• Stefan Becuwe, University of Antwerp
  • suggestions for and correction of typos in Python presentation
  • suggestions for Python programming exercises
• Guillaume Jacquenot
  • Python 3 version of XDMF generating scripts
  • correcting typos in various README
  • suggesting hyperlinking the README files, and providing a Python script for it
• Arnout Standaert, VITO
  • update of deprecated Pandas API
  • suggestions on Python OOP presentation section
• Yana Maneva, KU Leuven
  • suggestions on online C++ training material references

You are very welcome to contribute, please read some guidelines before you do.