swit=10
j=0
det=0
import numpy

matrix=numpy.random.rand(swit,swit)
print matrix
a= matrix
print numpy.linalg.det(matrix)

def get_minor(a, Iind, Jind):
    b = []
    for i in xrange(len(a)):
        if i == Iind:
            continue
        b.append([])
        for j in xrange(len(a)):
            if j == Jind:
                continue
            b[-1].append(a[i][j])
    return b

def get_det(a):
    if len(a) == 2:
        return a[0][0] * a[1][1] - a[0][1] * a[1][0]
    res = 0.0
    mn = 1.0
    for i in xrange(len(a)):
        val = a[0][i]
        minor = get_minor(a, 0, i)
        res += mn * val * get_det(minor)
        mn = -mn
    return res

print get_det(matrix)