numpy.random.standard_exponential(size=None) Draw samples from the standard exponential distribution.

Laguerre.has_sametype(other)

Making proper sets

numpy.ma.dot(a, b, strict=False, out=None)

nditer.next x.next() -> the next value, or raise StopIteration

numpy.polynomial.polynomial.polyval3d(x, y, z, c)

Business Day Functions

numpy.random.logseries(p, size=None) Draw samples from a logarithmic series distribution. Samples are drawn from

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

numpy.expm1(x[, out]) = Calculate exp(x) - 1 for all elements in the array.