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The NumPy sort() function returns a sorted copy of the specified array. Syntax: numpy.sort(a, axis=-1, kind=None, order=None) a Required. Specify the array (array_like) to be sorted. axis Optional. Specify the axis along which to sort. If None, the array is flattened.

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Search: Is List Faster Than Array Python. To speed up your code, use functions from existing libraries when possible As the Cookiecutter template examples show, NumPy arrays can be defined using the pyarray class NumPy arrays have fixed length, so you cannot add or delete without creating a new one Let's dissipate that doubt : The second version is slightly faster : list comprehension are. The NumPy sort() function returns a sorted copy of the specified array. Syntax: numpy.sort(a, axis=-1, kind=None, order=None) a Required. Specify the array (array_like) to be sorted. axis Optional. Specify the axis along which to sort. If None, the array is flattened.

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