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Planned for 2023 Fall

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2023 Spring

  • January: Python, Pandas and data-curation, Simon William Ball 
  • February: Visualisation of data with VR, with the atom simulations, Jorge Estuardo
  • March: Sharing data and data access among researchers, Konstantin Stadler
  • April: Jupyter Notebooks for teaching, Håvard Eilertsen
  • May: GitHub at NTNU, NN (Håvard Eilertsen)

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