: Covers core topics such as sampling theorems , Fourier transforms , windowing , and filtering .

The book heavily features (now part of the Jupyter ecosystem) to create an interactive learning environment. Adventures in Signal Processing with Python - Jason Sachs

: A unique feature is that every concept and figure in the text is reproducible using the provided Python code. The Role of IPython Notebooks

: Specifically the scipy.signal module for processing techniques like convolution and FFT.