What are some examples of using NumPy for linear algebra?

What are some examples of using NumPy for linear algebra?

NumPy provides various functions for linear algebra. For example, you can use numpy.linalg.inv() to find the inverse of a matrix.

Can you show me how to calculate the determinant of a matrix?

Sure! You can use numpy.linalg.det() to calculate the determinant. For example:

import numpy as np
matrix = np.array([[1, 2], [3, 4]])
det = np.linalg.det(matrix)
print(det)

What about solving a system of linear equations?

You can solve a system of equations using numpy.linalg.solve(). For instance:

A = np.array([[3, 1], [1, 2]])
b = np.array([9, 8])
x = np.linalg.solve(A, b)
print(x)

Are there any other useful functions in NumPy for linear algebra?

Yes, there are many! Functions like numpy.linalg.eig() for eigenvalues and eigenvectors, and numpy.linalg.norm() for vector norms are quite useful.