# Operations on Multiple Matrices

We will now be performing operations between two or more matrices and see the functions that will help us to achieve that. We will be covering how to write an inverse of a matrix, logical operators, dot products, eigenvalues and eigenvectors, outer products, and the determinates of a matrix.

It should be noted that there are plenty of other things you can do with matrices, and the official NumPy documentation is a really good resource for referencing information according to the requirements of the user. Most of the topics that we are going to cover are part of the linear algebra package of the NumPy library. There are far wider applications in physics and mathematics that are beyond the scope of this chapter for each of the topics we are going to cover, but it should suffice to know that they all play a very important role in understanding matrices.

Note

For more information about the NumPy library, refer to https://docs.scipy.org/doc/numpy...