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Python for Computational Science part 1
Introduction to Python for Computational Science (Part 1)
The course has been designed for researchers to learn practical programming skills that are relevant for use of data processing, data science and computation in domain specific contexts. The module does not assume prior programming knowledge of participants. The module uses hands-on activities for all participants to exercise and experiment with the taught material. The course introduces skills that are advantageous for data handling - be it from experiment or simulation – and provides a basis for self learning or directed learning of more specialised topics at a later stage.
Part 2 of the course provides a deeper look into Python and introduces a wider range of libraries.
Anticipated topics:
- Introduction to Python
- Data types & structures
- Control flow
- Functions
- PEP8
- Name spaces
- File Input/Output
- Numpy
- matplotlib
- unit tests
- virtual environments
- Spyder
- IPython
- Jupyter
Register here for part 1 (deadline is Wednesday 4 February 2026)
Advanced Python for Computational Science (Part 2)
Building on Part 1, this course covers additional aspects:
- advanced Python
- additional libraries such as scipy, pandas, and sympy
- research software engineering and testing, and
- selected numerical methods and application examples with focus on natural science and engineering problems.
Aspects (1) to (3) are covered in the beginning of the course. Part (4) is delivered at the end of the week, and can be omitted if not relevant to the participant.
Anticipated topics:
- higher order functions
- programming paradigms
- scipy, pandas, sympy
- research software engineering practices, in particular testing
- Python package installation
- interpolation, root finding, curve fitting
- optimisation, computing derivatives
- integration of functions and ordinary differential equations
Register here for part 2 (deadline is Wednesday 18 February 2026)
KONVENS 2026
KONVENS (Konferenz zur Verarbeitung natürlicher Sprache) is an annual conference dedicated to research in computational linguistics and language technology. Established in 1992, it brings together researchers, practitioners, and students to exchange ideas and present advances in natural language processing.
In 2026, the Conference on Natural Language Processing (KONVENS) will be hosted in Hamburg by the University of Hamburg We look forward to welcoming the NLP community to Hamburg for an inspiring exchange of ideas and research.
As 2nd of Germany’s largest cities, Hamburg is not only known for its vibrant cultural and economic life but also as a dynamic center for science and innovation. The city hosts a broad network of universities, research institutions, and technology companies that foster interdisciplinary collaboration across computer science, linguistics, and artificial intelligence.
Within this ecosystem, the University of Hamburg plays a flagship role, with internationally recognized research in natural language processing (NLP), computational linguistics, and AI-driven language technologies.
By hosting KONVENS 2026 in Hamburg, we aim to highlight the city’s growing importance as a science hub and its contributions to the field of computational linguistics, while offering participants an inspiring environment for knowledge exchange and collaboration.
Institutions
Universität Hamburg
Adeline Scharfenberg