numpy.random.permutation(x) Randomly permute a sequence, or return a permuted range. If x is a

numpy.random.binomial(n, p, size=None) Draw samples from a binomial distribution. Samples are drawn from a binomial

dtype.fields Dictionary of named fields defined for this data type, or None. The dictionary is indexed

numpy.square(x[, out]) = Return the element-wise square of the input.

numpy.column_stack(tup)

numpy.log1p(x[, out]) = Return the natural logarithm of one plus the input array, element-wise. Calculates log(1 + x)

numpy.ma.expand_dims(x, axis)

Legendre.integ(m=1, k=[], lbnd=None)

numpy.random.triangular(left, mode, right, size=None) Draw samples from the triangular distribution. The triangular

Chebyshev.has_sametype(other)