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I am not a physicist, but one thing I've noticed is that the physicists I know tend to be very good at Mathematica, and if they happen to transition to a data science role, then Mathematica is sort of this secret weapon that they have.

I've been learning it for the first time recently, and there are data science problems that are somehow tractable in Mathematica that were very hard for me to do in Python. Some of this stuff, like FindDistribution, seems only to have been added in the last few years. The random process library is really amazing as well.



Mathematica is amazing for visualizing math. 6 lines of readible mathematica code can compile into 100 lines of unreadable C.

Any blog posts on mathematica helping make data science problems more tractable?

My thoughts are mathematica is good at intuition building, but not fast enough to deploy without converting into subsequent languages.




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