Numpy (page 4 of 4)

With numpy, we can perform a variety of descriptive statistics along the different dimensions in our numpy arrays. We can also efficiently perform trigonometry calculations along with matrix alegbra. As a result, numpy is often coupled with other packages such as scipy and sklearn, which can make it a viable substitute for tools such as MatLab.



In Class Activities: Starter File (Solution) & Mini-Case Starter (Solution)
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