#Lets start the different types of the operations on the matrices using numpy 👀

To get the transpose,inverse,adjoint,determinant,addtion of
matrices, multiplication of matrices we can easily do here

import numpy as np    

m1=np.matrix([[1,2],[4,2]])
a=np.linalg.det(m1)
print(round(a))

output=-6
we use here round beacause we want integer value of determinant

To find the inverse of the matrix simply write the

inv=m1.getI()

print(inv)

output=[[-0.33333333  0.33333333]
         [ 0.66666667 -0.16666667]]

To find the transpose of the matrix use

tran=m1.getT()

output=[[1 4]
         [2 2]]

To find the addition of the matrix

m2=np.matrix([[2,3],[1,4]])

print(m1+m2)

output=[[3 5]
         [5 6]]

Note: addition of the matrices it should be of the same

        order otherwise it shows the error

To find the multiplication of the two matrices use the

print(m1*m2)

output=[[ 4 11]
         [10 20]]

Note that in the multiplication of the matrices there

should be columns of the first matrix should equal to

the rows of the second matrix otherwise it shows the

error

For more information about it

#Use of numpy in the matrices