numpy.arange([start, ]stop, [step, ]dtype=None) Return evenly spaced values within a given interval. Values are generated

numpy.empty_like(a, dtype=None, order='K', subok=True) Return a new array with the same shape and type as a given array.

numpy.core.records.fromfile(fd, dtype=None, shape=None, offset=0, formats=None, names=None, titles=None, aligned=False, byteorder=None)

numpy.diagflat(v, k=0)

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

numpy.core.records.fromrecords(recList, dtype=None, shape=None, formats=None, names=None, titles=None, aligned=False, byteorder=None)

numpy.core.defchararray.asarray(obj, itemsize=None, unicode=None, order=None)

numpy.core.defchararray.array(obj, itemsize=None, copy=True, unicode=None, order=None)

numpy.mgrid = nd_grid instance which returns a dense multi-dimensional ?meshgrid?. An instance of numpy

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