Finding the inverse of a matrix

Overview:

When a square matrix is multiplied with its inverse matrix, the resulatant matrix is the identity matrix.
The function inv() of the numpy.linalg module returns the inverse matrix of a given matrix.
Not all matrices have their inverse matrices. The matrices that do not have an inverse are called singular matrices.

# Example Python program that finds the inverse matrix of a given matrix
import numpy

# Format of floating point numbers while printing
numpy.set_printoptions(suppress=True, formatter={'float_kind':'{:0.2f}'.format})

# Create a square matrix
numbers = numpy.arange(1, 8, 2)
matrix = numbers.reshape(2, 2)
print("Matrix:")
print(matrix)

# Find the inverse of the matrix
inverse = numpy.linalg.inv(matrix)
print("Inverse of the matrix:")
print(inverse)

Matrix:

[[1 3]

[5 7]]

Inverse of the matrix:

[[-0.88 0.38]

[0.62 -0.12]]