import numpy

n = 3
A = numpy.random.randint(low=1, high=10, size=(n, n))
d = numpy.linalg.det(A)

print("Matrix A: \n", A)
print("det(A): ", d)

Here, we are creating a matrix that contains random integers. We are using the numpy.random.randint() function for that purpose. The generated integers will be within the range [low, high). And the size=(n, n) argument specifies that the created matrix will have n rows and n columns.

Now, we are using the numpy.linalg.det() function to calculate the determinant of the matrix. The output of the mentioned program will be:

Matrix A: 
 [[7 1 5]
 [6 8 5]
 [3 7 7]]
det(A):  209.99999999999994