Fourier transforms, and more generally, spectral transforms, are one of the most powerful and efficient techniques for solving a wide variety of problems arising the physical, biological and engineering sciences.
The basic properties and implementation of the Fourier transform in NumPy (Python) will be considered along with time-frequency analysis using wavelets. Applications to the data from HEP experiments will be under discussion.