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

MaskedArray.__len__() <==> len(x)

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.

New in version 1.7.0. Starting in NumPy 1.7, there are core array data types which natively

numpy.column_stack(tup)

matrix.T Returns the transpose of the matrix. Does not conjugate! For the complex conjugate transpose, use

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

ndarray.__and__ x.__and__(y) <==> x&y