Where your path likely looks like /Applications/ParaView-5.5.2.app/Contents/MacOS/ (substituting 5.5.2 for your version number). If you're using MacOS, you will need to export the folder with your Paraview executable to your path by running: export PATH=$PATH:/path/to/your/paraview/ If you are using a Linux distribution, in order to be able to call Paraview through paraview, add the Paraview binary to the user-level bin folder through a symbolic link: sudo ln -s /path/to/your/paraview /usr/local/bin/paraview Some of the examples call Paraview through the Julia command run('paraview'), which is equivalent to calling Paraview from the terminal by typing paraview. In order to visualize simulations, you need to install the open-source visualization engine Paraview, which may be downloaded here for free. Useful instructions can be found here and here.

For the best experience, verify that matplotlib uses Qt5Agg as a backend.

All the following packages are installed in that python: matplotlib, mpmath, and scipy.Since P圜all now relies on a custom install of Python3, make sure that: Which should reveal your Python version: v'3.8' Setting up PyPlot Then close and reopen the Julia REPL, and run: import P圜all After installing P圜all ( ] add P圜all), you can do this by running the following: import Pkg

The airfoilprep.py package (wrapped by the AirfoilPrep.jl package) is written in Python 3.8, so make sure that the Python version linked to P圜all.jl is 3.8. FLOWUnsteady has been developed and tested in Julia v1.4.2, hence we recommend using this version.

Brew install gfortran macos