Reproducible scientific computing and data analysis
Registration required
| Title | Date | Duration | No. Places available/total |
|---|---|---|---|
| Reproducible scientific computing and data analysis (Research Data Management 4/7) | 26.03.2025 | 3 h Workshop |
25 / 25 |
Content
- Conceptual and practical aspects of computational reproducibility
- Version control of code as the basis for reproducibility
- Advantages and pitfalls of computational notebooks
- Management of computational environments
- Slides of a previous workshop (PDF, 8.9 MB)
Aim
At the end of the workshop, you are able to
- identify current limits of reproducibility in your computational workflows.
- use relevant tools for addressing these limitations.
Accessibility
Access to and participation in our courses will be barrier-free. Please contact us in advance at +41 44 632 21 35 or at so that we can optimally meet your needs.