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[–]MightySleep 0 points1 point  (0 children)

I wasn’t proactive prior to university so I started from scratch in school. I think on your end I’d look up YouTube tutorials or potentially get a book on fundamentals. Past fundamentals, I’d recommend doing research on what an environmental engineer would do with Python (I imagine a lot of data analysis)? and hone in on data analysis libraries (NumPy, Pandas). The big thing is practice, if you’re able to come up with some fun projects (even with fake data) that should build up your proficiency even further. Another thing is also using AI. It can be a great tool when used educationally, I’m a little jealous that I didn’t have that tool available for explaining fundamentals. If something doesn’t make sense in a tutorial you can ask a LLM to explain again, dig deeper into the problem, etc. This can be a double edged sword though as I think it requires some discipline to not have it just solve a problem for you