  In this paper we prove large and moderate deviations principles for the
recursive kernel estimator of a probability density function and its partial
derivatives. Unlike the density estimator, the derivatives estimators exhibit a
quadratic behavior not only for the moderate deviations scale but also for the
large deviations one. We provide results both for the pointwise and the uniform
deviations.
