numpy.average(a, axis=None, weights=None, returned=False)

numpy.matlib.randn(*args)

numpy.gradient(f, *varargs, **kwargs)

numpy.equal(x1, x2[, out]) = Return (x1 == x2) element-wise.

numpy.squeeze(a, axis=None)

numpy.core.defchararray.index(a, sub, start=0, end=None)

numpy.loadtxt(fname, dtype=, comments='#', delimiter=None, converters=None, skiprows=0, usecols=None, unpack=False, ndmin=0)

Polynomial.trim(tol=0)

numpy.vstack(tup)

numpy.linalg.tensorsolve(a, b, axes=None)