Python numpy library functions to perform basic matrix operations are as follows. • C=numpy.add(A, B): Add two matrices A and B and store result in C. • C=numpy.subtract(A, B): Subtract matrix B from matrix A and store result in C. • C=numpy.divide(A, B): Divide matrix A by matrix B and store result in C. • C=numpy.multiply(A, B): Multiply matrix A by matrix B and store result in C. • C=numpy.sum(A): Form the sum of elements of matrix A and store result in c ∈ R. • C=numpy.sum(A, axis = 0): Form the column wise summation of matrix A and store result in vector C. • C=numpy.sum(A, axis = 1): Form the row wise summation of matrix A, store result in vector C. Python code to show the implementation of these methods in a sample matrix.

Programming Language :- C

Computer science

Python language

Complete this code using Python   m1 = [] #Matrix 1m2 = [] #Matrix 2#Write a function that will return the addition of Matrix A and B.#Create a new matrix C that will hold the addtion result of Matrix A and B (A+B).#Return the resultant matrix Cdef addMatrix(A,B):#Write your code here#Write a function that will return the subtraction of Matrix B from A.#Create a new matrix C that will hold the substraction result of Matrix B from A (A-B).#Return the resultant matrix Cdef subsMatrix(A,B):#Write your code here#Write a function that will return the multiplication of Matrix A and B.#Create a new matrix C that will hold the multiplication result of Matrix A and B (A*B).#Keep in mind,in order to perform matrix multiplication, the number of columns in Matrix A must be equal to the number of columns in Matrix B. #Return the resultant matrix Cdef multipyMatrix(A,B):#Write your code here#Write a function that will transform matrix A to the transpose of matrix A.#The transpose of a matrix means…

Write the following function #input: a numerical vector x #output:the normalized vector, i.e. the vector rescaled into [0,1] # the formula to normalize is (x-min(x))/ (max(x)-min(x)) # you can NOT use the functions min and max # you can use %%, nrow, ncol, and length # you can write multiple functions