numpy.linalg.cond(x, p=None)

numpy.polynomial.chebyshev.chebint(c, m=1, k=[], lbnd=0, scl=1, axis=0)

RandomState.standard_cauchy(size=None) Draw samples from a standard Cauchy distribution with mode =

numpy.polynomial.laguerre.lagint(c, m=1, k=[], lbnd=0, scl=1, axis=0)

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

numpy.ma.size(obj, axis=None)

class numpy.poly1d(c_or_r, r=0, variable=None)

numpy.ma.append(a, b, axis=None)

numpy.count_nonzero(a) Counts the number of non-zero values in the array a.

ndarray.strides Tuple of bytes to step in each dimension when traversing an array. The byte offset of element