Announcing ThinkDSP.jl: a Julia toolkit for signals, spectra, and audio

I have always liked working with DSP in Python. Libraries such as the original Think DSP code make it easy to move from a signal, to a sampled wave, to a spectrum, apply a filter, and reconstruct the result without losing sight of the underlying ideas. I wanted a similar workflow in Julia: concise and approachable for experimentation, while still being comfortable for larger numerical workloads. That became ThinkDSP.jl. ThinkDSP.jl is an idiomatic Julia implementation inspired by Allen Downey’...