Is learning Python still worth it for simulation engineers now that tools like optiSLang exist?
I work as an FEA engineer. During an internship I was exposed to optiSLang (DOE, sensitivity analysis, MOP), and that got me interested in moving toward AI/ML for simulation.
If you work in this area:
- Which path did you take, and what would you do differently?
- What skills do employers or teams actually ask for?
- Any project types that worked well as a portfolio (e.g. surrogate vs. full FEA on a simple structure)?