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  1. pap2-lab-training pap2-lab-training Public

    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-scientists python-for-scientists Public

    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-lab fp-lab Public

    Advanced physics laboratory training at Heidelberg University

    Mathematica 1

  4. cpp-projects cpp-projects Public

    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-computing gpu-computing Public

    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-talk fnirs-dot-talk Public

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

    2