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How to use the NumPy mean function?

numpy.mean(arr, axis = None): Compute the arithmetic mean (average) of the given data (array elements) along the specified axis. Parameters : arr : [array_like]input array. axis : [int or tuples of int]axis along which we want to calculate the arithmetic mean. Otherwise, it will consider arr to be flattened(works on all

How to use the NumPy append function?

np.append: How to Use Numpy append () Function np.append. The np.append () function is used to merge two arrays. The np.append () function returns a new array, and the... Flattening Two Arrays in Numpy. By “flattening” an array, we mean taking the multidimensional array and turning it into... ...

Can NumPy run on GPU?

Numpy doesn't use GPU. Though its a very fast library and one of the most well written libraries written out there for python. But if you are looking to utilise your GPU to speed up your computation, there is another version of Numpy called Cupy. And don't worry you don't have to go and learn it separately.


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