numpy.random.standard_t(df, size=None) Draw samples from a standard Student?s t distribution with df degrees

numpy.polynomial.hermite_e.hermevander(x, deg)

numpy.info(object=None, maxwidth=76, output=', mode 'w' at 0x402ae078>, toplevel='numpy')

chararray.T Same as self.transpose(), except that self is returned if self.ndim < 2.

class numpy.ndenumerate(arr)

numpy.shares_memory(a, b, max_work=None) Determine if two arrays share memory

numpy.polynomial.chebyshev.chebline(off, scl)

numpy.polynomial.chebyshev.chebgauss(deg)

class numpy.format_parser(formats, names, titles, aligned=False, byteorder=None)

numpy.polynomial.legendre.legline(off, scl)