  This paper is concerned with strong convergence of a tamed
$\theta$-Euler-Maruyama scheme for neutral stochastic differential delay
equations with superlinearly growing coefficients. We not only prove the strong
convergence of implicit schemes, but also reveal the convergence rate for these
equations driven by Brownian motion and pure jumps, respectively.
