In this chapter, we will see the following recipes about advanced computing with SciPy:

• Discrete Fourier transforms
• Computing the discrete Fourier transform (DFT) of a data series using the FFT algorithm
• Computing the inverse DFT of a data series
• Computing signal construction
• Getting started with filters
• Computing the DFT for two-dimensional data
• How to find the DFT of the derivative of a function
• Computing the convolution of two functions
• Mathematical imaging
• Computing pairwise distances from a dataset using different distance metrics
• How to identify neighborhoods and nearest neighbors for a dataset and a given metric
• Nearest neighbors regression