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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

The Pretty Efficient Parallel Coulomb solver (PEPC) - website: https://www.fz-juelich.de/ias/jsc/pepc

Team1 Counting Leaf!

Software-engineering aspects of composed Earth System Models ---Performance analysis and GPU programming (CUDA, OpenACC, OpenMP, kokkos) ---

High-level Fortran and C wrappers for D.E.Shaw Research's random123

method to define and switch between multiple desktop profiles

Portable "minimal" Emacs configuration. Works on Linux and Mac.