[Python] What is the best way to convert a SymPy matrix to a NumPy array/matrix?

I am not sure if the approach I've been using in SymPy to convert a MutableDenseMatrix to a numpy.array or numpy.matrix is a good current practice.

I have a symbolic matrix like:

g = sympy.Matrix( [[ x, 2*x, 3*x, 4*x, 5*x, 6*x, 7*x, 8*x, 9*x, 10*x],
[x**2, x**3, x**4, x**5, x**6, x**7, x**8, x**9, x**10, x**11]] )


And I am converting to a numpy.array doing:

g_func = lambda val: numpy.array( g.subs( {x:val} ).tolist(), dtype=float )


where I get an array for a given value of x.

Is there a better built-in solution in SymPy to do that?

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