  I present a fast Python tool, SpectRes, for carrying out the resampling of
spectral flux densities and their associated uncertainties onto different
wavelength grids. The function works with any grid of wavelength values,
including non-uniform sampling, and preserves the integrated flux. This may be
of use for binning data to increase the signal to noise ratio, obtaining
synthetic photometry, or resampling model spectra to match the sampling of
observed data for spectral energy distribution fitting. The function can be
downloaded from https://www.github.com/ACCarnall/SpectRes.
