Matrix determinant

import random
#import numpy

def fill_matrix (size):
    for i in xrange(size):
        for j in xrange(size):
            matrix[i][j] = random.randint(1, size)
    return matrix

def minor_matrix (matrix, size, i, j):
    di = 0
    for ki in xrange(size-1):
        if (ki == i):
            di = 1
        dj = 0
        for kj in xrange(size-1):
            if (kj == j):
                dj = 1
            tmp[ki][kj] = matrix[ki + di][kj + dj]
    return tmp

def det_matrix (size):
    if (size > 1):
        for i in xrange(size):
            for j in xrange(size):
                M = minor_matrix(matrix, 100, i, j)
                A = (-1) ** (i + j) * M
                det = matrix[i][j] * A
        return det_matrix(size) + det_matrix(size - 1)
    elif (size == 1):
        return det


matrix = [[0] * 100 for i in xrange(100)]
matrix = fill_matrix(100)
#matrix2 = numpy.array(matrix)
#print matrix2
det = det_matrix (100)
print det
input ()