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1. pap2-lab-trainingpap2-lab-trainingPublic

   Second physics laboratory training at Heidelberg University with evaluation and data analysis in Python. In total 18 experiments performed and 64 plots created.

   Jupyter Notebook 1 1

2. python-for-scientistspython-for-scientistsPublic

   solving differential equations, plotting radioactive decay and vector fields, carrying out error propagation, finding extrasolar planets, accessing cosmological simulations

   Jupyter Notebook 2 4

3. fp-labfp-labPublic

   Advanced physics laboratory training at Heidelberg University

   Mathematica 1

4. cpp-projectscpp-projectsPublic

   Projects with C++: Particle swarm animation using SDL, Conway's Game of Life with pgm images, Mandelbrot-Set Fractal draw on bmp images

   C++

5. gpu-computinggpu-computingPublic

   GPU programming harnesses the power of Graphics Processing Units and parallel computing for intense tasks like numerical simulations in Astro- or Biophysics

   Cuda

6. fnirs-dot-talkfnirs-dot-talkPublic

   Presentation on Optical Tomography with Diffuse Light, also known as fNIRS, functional Near-Infra-Red-Spectroscopy, for imaging tissue and the human brain

   3