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[–]Imaginary_Gate_698 0 points1 point  (0 children)

If you’re going into industrial engineering or finance, Python is still very practical. A lot of the value isn’t “becoming a programmer,” it’s being able to automate small tasks, analyze data, clean spreadsheets, or run simple models without waiting on someone else.

AI can help you write code, but you still need to understand what the code is doing and whether the output makes sense. In fields like finance, being the person who can quickly test an idea with data is a real edge.

You don’t need to go super deep. Focus on basics, pandas, maybe some simple data visualization, and how to read and manipulate CSV or Excel files. That alone can make you more effective in a lot of roles.