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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