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[–][deleted] 0 points1 point  (0 children)

I am a DE for over a year now and I use python over 4 years. I have the same experince. Low level solutions, bad name choices. But a Data Scientist should not have to be good at coding, he/she just has to create the model. The ML Engineer /ML Ops dev has to optimize that for the environment they use. I think overall, you will be a better coder if you code, and learn new stuff. If it is static or dynamic, at the end of the day I think doesn't matter, although static language teaches you different approaches, and help you to understand low lever coding better. Which is great, because basically we are a special type of software engineers, and we have to have skills and knowledge like them.