Research Events

31. August 2022, 09:00 until 01. September 2022 17:00



During the past ten years, Python has seen a meteoric rise in both popularity and demand not only in general purpose programming but especially data science contributed to this trend. Despite Python's architectural shortcomings, even the field of High Performance Computing (HPC), with its highly specific demands, profited from recent developments with various libraries and optimizations.

This course introduces the interested participant to Python from an HPC viewpoint, the most practical tools, and various indispensable libraries for HPC use cases. After completion of this two-day course, participants are prepared to effectively develop their own Python libraries or integrate Python into existing projects.

Agenda (tentative):

1st day - Aug 31, 2022

08:45   Join online
09:00   Welcome
09:05   Advanced Python (Collections, OOP, FP)
10:00   Break
10:10   Tooling (Testing, Debugging, Documentation, Logging)
11:00   Performance (Timing, Profiling)
12:30   Lunch break
13:30   Bindings (CFFI, Boost.Python, f2py)
14:30   Break
14:40   Compiled Python (Cython, Numba)
15:40   Break
15:45   Development (Environment, Packages, IDEs, Containers)
16:10   Q & A
17:00   End

2nd day - Sep 1, 2022

08:45   Join online
09:00   Plotting with Matplotlib
09:50   Break
10:00   NumPy (Array creation & access, Array manipulation, Types, Broadcasting, Universal functions)
11:00   Break
11:10   SciPy (Overview, Subpackages, Examples)
11:55   MPI4Py
12:30   Lunch break
13:30   MPI4Py cont (practicals)
14:00   Pandas, Dask, cuDF
16:00   Q & A
17:00   End

Content (tentative):

1. Development

- Package & environment management
- Development environments
- Containerization

2. Tooling

- Debugging & testing
- Timing & profiling
- Documentation, logging, and call graphs

3. Python bindings

- Binding to C and C++ with CFFI
- Binding to Fortran with f2py
- Compiled Python with Cython & Numba

4. Packages (HPC & data science)

- Pretty plots per matplotlib
- Fast array manipulation with NumPy
- Scientific computation with SciPy
- Distributed computing with MPI4Py
- Data science with Pandas & Dask & cuDF


The participants are expected to have at least basic programming skills in Python and the ability to use the Linux command line interface, for example bash.

Hands-on labs:

All participants will get a temporary training user on the VSC for the course. You will use your own laptop or workstation to connect to VSC to do the hands-on exercises.

It is possible to do the hands-on labs on your local system, you'll need a local installation of Python 3 and the packages mentioned above.

Accepted participants will be contacted a few days before the course and asked to do a short PRE-ASSIGNMENT that has to be completed before the course starts.


David Fischak and Simeon Harrison (EuroCC Austria and VSC Research Center, TU Wien)


Presentations will be in English, support during the hands-on sessions is available both in English or German.

Prices and Eligibility:

This course is offered free of charge via EuroCC Austria and it is open for participants from academia and industry from the Member States (MS) of the European Union (EU) and Associated/Other Countries to the Horizon 2020 programme.

Calendar entry

Event location

Online Zoom



VSC Research Center, TU Wien and EuroCC Austria
Simeon Harrison and Claudia Blaas-Schenner


More Information





Entrance fee



Registration required


Registration , opens an external URL in a new windowperiod is from 2 May 2022 to 26 June 2022, and follows the "first come – first served" principle. For the online course we can take a maximum of 40 persons. Additional registrations will be added to a waiting list.