Thonny is easier than many other debuggers, but all this means is that the time to learn it is relatively low. Learn it you must. This is a good resource if you prefer to read-and-learn, while this course is useful if you prefer videos.

In the next issue on this topic: Python as CFD-glue

For a typical aircraft geometry, this script can reduce meshing time from up to 15 hours to one or two, and time spent on manual input from 12 hours to a few minutes. Automation also ensures a more consistent application of best practices for higher quality results. Added bonus: hear the lead developer discuss the details.

In the next issue: The why and how of Pointwise and mesh adaptation

With Tecplot you can use iso-surfaces to estimate boundary layer thickness, but what if you want to plot a field variable against the distance from a wall? The procedure involves finding the normal, calculating distances along it, extracting the variable at these distances, then creating a plot. Python is much more efficient than a macro for such computations, as discussed here.

In the next issue: Why SU2 now writes .szplt