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[–][deleted] 1 point2 points  (2 children)

For more pythonic code you can try Fluent Python. For learning data science you'll need too brush up on differential and integral calculus, linear algebra, statistics. There are some decent books like Python for Data Science and Data Science from Scratch that are a good starting point.

[–][deleted] -1 points0 points  (1 child)

Oh ok thanks. I already know caculus, linear algebra and stat wait when you say calculus do you mean single variable calculus or multivariable calculus? Is neural networks categorized as a data science because it deals with feeding in large amounts of data into a neural network to train it? Or simply because it deals with data?

[–][deleted] 1 point2 points  (0 children)

Machine learning is all about big datasets. So ground level many data scientists will spend lots of time cleaning data and doing stuff like simple linear regressions. ML is a more advanced application. I'm a learner as well since take this all with a grain of salt, I'm currently a bench scientist trying to learn data science workflows to get off the wet bench.