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The NumPy reshape() function is used to give a new shape to an array without changing its data.

The NumPy package contains matlib module. This module contains all the functions in the numpy namespace that return matrices instead of ndarray objects.

The NumPy package contains a number of functions which provides all the functionality required for linear algebra. Few of these functions are - dot(), vdot(), inner(), matmul(), det(), solve() and inv().

Array attributes reflect information that is intrinsic to the array. Accessing an array through its attributes allows to get and sometimes set intrinsic properties of the array without creating a new array.

The NumPy package contains a number of functions which can be used to create an array from an existing data. asarray(), frombuffer() and fromiter() fuctions.

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