Oh, it’s much “worse” than that:
In [2]: numpy.power(10,-1)
Out[2]: 0
But this is a hint to what’s going on: 10 is an integer, and numpy.power doesn’t coerce the numbers to floats. But this works:
In [3]: numpy.power(10.,-1)
Out[3]: 0.10000000000000001
In [4]: numpy.power(10.,-100)
Out[4]: 1e-100
Note, however, that the power operator, **, does convert to float:
In [5]: 10**-1
Out[5]: 0.1