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numpy and scipy are two essential libraries in the Python Programming ecosystem and while both are used for math type things there are both fundamental differences and areas of overlap between them so letamp;#39;s get into what they are how they can be differentiated and then some use cases so numpy numpy is an abbreviation itamp;#39;s an abbreviation for numerical python numpy numerical python it lets you do stuff with numbers now numpy light works with large multi-dimensional arrays and matrices along with a large collection of high-level mathematical functions to operate on these arrays multi-dimensional arrays you say what are those well you can think of multi-dimensional arrays as lists of lists or even lists of lists of lists in essence a one-dimensional array thatamp;#39;s something like this itamp;#39;s a itamp;#39;s a simple row of items like a row of numbers then you have a two-dimensional array thatamp;#39;s like this and you can think of that as being like a table whe
