I'm an electrical engineer and I use Julia for all kinds of analyses that I might have earlier in my career done in a spreadsheet (Lotus 1-2-3 at first!), or la

I'm an electrical engineer and I use Julia for all kinds of analyses that I might have earlier in my career done in a spreadsheet (Lotus 1-2-3 at first!), or later in python (when I had to choose between Numeric or NumArray). I started using python for various engineering analysis problems around 2001 and I loved it for how fast (due to minimal boilerplate and automatic memory management) I could code up some thought relative to using C or Java. I could tackle problems in ways I just wouldn't have tried otherwise because I couldn't afford the longer time to write it in other languages. However, for problems which needed speed, of course it bogged down. I started using Julia for ODE stuff in 2018 or 2019 and was thrilled with the speed and conciseness. As others have said, it looks much more like math and a lot of better design choices were made. Python obviously has a much larger ecosystem and probably always will, and it will remain a safe choice, but you don't set yourself apart by doing the same thing as everyone else.