Matrix Multiplication using NUMPY

Algorithms Multiplies two Square Matrices using the NUMPY library.

math/Matrix multiplication/python/matrixmul.py

@@ -0,0 +1,89 @@
+"""               SQUARE Matrix Multiplication
+
+Matrix multiplication is a binary operation that produces a matrix from two matrices.
+For matrix multiplication, the number of columns in the first matrix must be
+equal to the number of rows in the second matrix.
+
+The resulting matrix, known as the matrix product, has the number of rows of the
+first and the number of columns of the second matrix.
+
+Let A be a m x n matrix and B be a n x p matrix then the matrix C ,where
+
+            C =A.B
+
+is defined as cij = Ai1.B1j + Ai2.B2j +...+ Ain.Bnj
+
+"""
+
+import numpy as np  #Importing Numpy Library
+
+n=int(input())   #no.of rows/columns in the matrices
+
+A=[]     #Array input from user one row at a time in the form of comma separated values.
+
+for i in range(n):
+
+    a= [ ]
+
+    for num in input().split(','):
+
+        a.append(int(num))
+
+    A.append(a)
+
+# Coversion of Array into n x n matrix for both Aand B
+
+B=[]
+
+for i in range(n):
+
+    b= [ ]
+
+    for num in input().split(','):
+
+        b.append(int(num))
+
+    B.append(b)
+
+
+X=np.mat(A)
+Y=np.mat(B)
+Z=X*Y
+z=np.array(Z)
+from array import *
+def array_list(z):
+    m = z.tolist() # list
+    print(*m ,sep=",")
+
+for i in range(n):
+    array_list(z[i])
+
+"""
+TEST CASE 1:
+>>> 
+2
+1,2
+3,4
+5,6
+7,8
+
+OUTPUT:
+19,22
+43,50
+
+TEST CASE 2:
+>>>
+3
+1,2,3
+4,5,6
+7,8,9
+10,11,12
+13,14,15
+16,17,18
+
+OUTPUT:
+84,90,96
+201,216,231
+318,342,366
+
+"""