numpy.zeros(shape, dtype=float, order='C') Return a new array of given shape and type, filled with zeros.

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

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

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

numpy.triu(m, k=0)

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

numpy.frombuffer(buffer, dtype=float, count=-1, offset=0) Interpret a buffer as a 1-dimensional array.

numpy.linspace(start, stop, num=50, endpoint=True, retstep=False, dtype=None)

numpy.tril(m, k=0)

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