Explore projects

Short tutorial about plotting with Pandas in Python

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

PRACE Workshop - Interactive High-Performance Computing with Jupyter

Collection of course material for the "High Performance Computing for neuroscience: Hands-on introduction to supercomputing usage, tools and applications" workshop.

Shape optimization for interior Neumann eigenvalues.

http://chraibi1.pages.jsc.fz-juelich.de/jekyll

VIGAN: Visualization-guided Interactive Graph Analysis

Template for Bootstrap based form

Talk for the UN workshop