Explore projects

Interactive exploration and analysis of large amounts of data from scientific simulations, in-situ visualization and application control are convincing scenarios for explorative sciences. Based on the open source software JupyterLab, a way has been a

Short tutorial about plotting with Pandas in Python

PRACE Workshop - Interactive High-Performance Computing with Jupyter

Python Django services to extract station characterisation information from global geographic and geophysical datasets

REST API to TOAR-II database using FastAPI

Management tool for secure applying for service accounts to any other webservice. Generation of htpasswd files and API to apply for service accounts as a user.

PRACE Workshop - Interactive High-Performance Computing with Jupyter

Shape optimization for interior Neumann eigenvalues.