Originally, I was planning on creating a guide for bringing VTK files into Python, converting them to NumPy array for processing, and then exporting them out again as VTK files. As an extension of Paraview I think Python is incredibly powerful software that should be accessible for viewing in the YURT. My deliverable was going to be a repo documentation.
I ran into issues with exporting as a vtk. So I pivoted from producing a repo of the process, to producing guides for data manipulation in Python. As an activity these can be interacted with to practice data manipulation, without the need of actually writing code. I made these with Google Colaboratory. They can be found below.
importing vtk files into Python as Numpy array: https://colab.research.google.com/drive/1v86XHURaSUyVRlzM4AbxWWu4uZmFDqw5
geometry manipulation: https://colab.research.google.com/drive/1G4aTefrQtDk46Hav3dDOW5qWMa2wdPCO
intravalue manipulation: https://colab.research.google.com/drive/1Vtblt7paDPpj8h5g3-3aQ7waxCbgVCE7
intervalue manipulation: https://colab.research.google.com/drive/1pMh9srzb3Mjf3eSEGJMh7QO0LFZhDcFd