Why use Numpy in python?

Posted on March 10, 2021

Use of Numpy in linear algebra, fourier transform, and matrices.

Python have no array, that  lists serve the purpose of arrays.

NumPy is  provide an array  which is up to 50 times(50x) faster than traditional Python lists.

NumPy is called ndarray.

NumPy  are stored data in local memory unlike lists

So processes can access and manipulate them very efficiently

Numpy Library written in partially in python but most part is written in C or C++ because require fast computation

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