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Let's begin by importing Numpy and listing out the functions covered in this notebook.

import numpy as np
# List of functions explained 
function1 = np.linalg.eig
function2 = np.linalg.solve
function3 = np.mean
function4 = np.linalg.inv
function5 = np.vdot

Function 1 - np.linalg.eig

This function calculates Eigen Values of a square matrix.

# Example 1 - working 


Eig_1 = np.array([[45,56,76],
                  [43,34,65],
                [22,31,32]])

np.linalg.eig(Eig_1)
(array([127.35088752,  -3.53455559, -12.81633193]),
 array([[-0.72800443, -0.79678984,  0.14136533],
        [-0.58464654, -0.11460827, -0.84527516],
        [-0.35804743,  0.59328821,  0.5152919 ]]))