numpy.polyfit(x, y, deg, rcond=None, full=False, w=None, cov=False)

numpy.polynomial.hermite_e.hermeone = array([1])

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

numpy.polynomial.laguerre.laggauss(deg)

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

numpy.mgrid = nd_grid instance which returns a dense multi-dimensional ?meshgrid?. An instance of numpy

RandomState.tomaxint(size=None) Random integers between 0 and sys.maxint, inclusive. Return

numpy.linalg.pinv(a, rcond=1e-15)

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

Chebyshev.convert(domain=None, kind=None, window=None)