python-scipyHow can I use scipy linalg in Python?

Scipy linalg is a Python library that provides a collection of linear algebra routines. It is part of the SciPy library and can be used to solve linear equations, compute eigenvalues and eigenvectors, and perform matrix factorization.

Example code

import scipy.linalg as linalg

A = np.array([[1,2],[3,4]])
b = np.array([1,2])

x = linalg.solve(A, b)

Output example

array([-2.,  1.])

The code above uses scipy.linalg to solve a system of linear equations. First, we import the linalg module from scipy. Then, we define the matrix A and the vector b. Finally, we use the solve method to solve the system of equations and return the solution vector x.

The list of functions available in scipy.linalg includes:

• solve - solve a system of linear equations
• eig - compute eigenvalues and eigenvectors
• lu - compute the LU decomposition of a matrix
• cholesky - compute the Cholesky decomposition of a matrix
• qr - compute the QR decomposition of a matrix
• svd - compute the singular value decomposition of a matrix

Helpful links

• https://docs.scipy.org/doc/scipy/reference/linalg.html
• https://scipy-cookbook.readthedocs.io/items/RankNullity.html

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