[dionhaefner]

A bit late to the party, but here are some reasons:

- When we started Veros (~4 years ago) Julia was very new on our radar and we didn't know whether it would stick. And to be frank, I'm still not convinced whether it will stick. Yes it seems like a fantastic language, but we all know how long it took Python to gain traction.

- Climate scientists and students already do their post-processing in Python. Having the whole stack in the same language makes things a lot easier for domain experts whose first priority is physics, not coding.

- Python skills translate better to other jobs, which I think is important for young academics.

- The Python library ecosystem is so good. Need to use PETSc? `import petsc4py`. Simplify postprocessing? Export your model state as `xarray` dataset. Julia is great for bleeding edge autodiff through everything stuff, but the bread and butter libraries are just so polished and battle tested in Python.

- I don't know Julia :)

[civilized]

Those are very good reasons!