Scipy 1.8.1 Download UPD
Ji Kartchner
For example, I've read somewhere that NumPy is meant to only implement the array object, while SciPy is there for every other scientific algorithms. So NumPy should be used for array operation and SciPy for everything else...On the other hand, SciPy imports every Numpy functions in its main namespace, such that scipy.array() is the same thing as numpy.array() (see this question), so NumPy should only be used when SciPy is not being used, as they are duplicates...
I use scipy for mathematical operation (such as log10()) and numpy for array creation/operations (such as np.zeros()). Would it be fine to go all the way with SciPy and never import NumPy explicitly? Will a future update remove NumPy's array manipulation from SciPy?
This post has some good information about the two modules (Relationship between scipy and numpy). It seems that Numpy's functionality is meant to be completely included within Scipy, although there are a few exceptions (see post). I would say it is safe to simply use Scipy for all of your needs since most important things like mathematical functions, arrays, and other things are included within Scipy.
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