numpy.promote_types(type1, type2) Returns the data type with the smallest size and smallest scalar kind to which both type1

numpy.polynomial.polynomial.polymulx(c)

numpy.polynomial.chebyshev.chebdomain = array([-1, 1])

See also

numpy.ma.make_mask_descr(ndtype)

numpy.polynomial.hermite_e.hermevander2d(x, y, deg)

numpy.ma.arange([start, ]stop, [step, ]dtype=None) = Return evenly spaced values within a given interval. Values are generated

classmethod Polynomial.cast(series, domain=None, window=None)

numpy.core.defchararray.swapcase(a)

ndarray.__ne__ x.__ne__(y) <==> x!=y