numpy.fromfile(file, dtype=float, count=-1, sep='') Construct an array from data in a text or binary file. A highly efficient

numpy.array(object, dtype=None, copy=True, order=None, subok=False, ndmin=0) Create an array.

numpy.full_like(a, fill_value, dtype=None, order='K', subok=True)

numpy.triu(m, k=0)

numpy.vander(x, N=None, increasing=False)

numpy.fromiter(iterable, dtype, count=-1) Create a new 1-dimensional array from an iterable object.

numpy.copy(a, order='K')

numpy.mat(data, dtype=None)

numpy.tril(m, k=0)

numpy.full(shape, fill_value, dtype=None, order='C')