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.core.records.fromstring(datastring, dtype=None, shape=None, offset=0, formats=None, names=None, titles=None, aligned=False,

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

numpy.tri(N, M=None, k=0, dtype=)

numpy.bmat(obj, ldict=None, gdict=None)

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

numpy.identity(n, dtype=None)

numpy.core.records.array(obj, dtype=None, shape=None, offset=0, strides=None, formats=None, names=None, titles=None, aligned=False, byteorder=None

numpy.empty(shape, dtype=float, order='C') Return a new array of given shape and type, without initializing entries.