# unpingco/Python-for-Signal-Processing

Notebooks for "Python for Signal Processing" book

Repository: https://github.com/unpingco/Python-for-Signal-Processing
Canonical: https://ross.abutalabs.com/products/python-for-signal-processing
Language: Jupyter Notebook
License: NOASSERTION
License Family: other
Last push: 2020-07-29T19:45:23+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 5250, "days_push": 2226, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1744, forks 637 (observed 2026-08-28T04:05:30.505835+00:00)

## What it is
A collection of Jupyter notebooks accompanying the book 'Python for Signal Processing', covering topics like sampling, Fourier transforms, windowing, filtering, and stochastic processes. The notebooks are also available in formatted form on a companion blog and in print.

## Use cases
- learn signal processing with python
- jupyter notebooks for fourier transform
- understand sampling theorem with code examples
- learn filtering and windowing in python
- study stochastic processes with notebooks
- companion material for python signal processing book

## When to choose
- you want runnable, interactive examples of signal processing concepts in Python
- you are studying the book or blog and want the source notebooks
- you prefer learning DSP through hands-on notebooks

## When to avoid
- you need a maintained signal processing library rather than educational material
- you require Python 3 compatibility out of the box, since notebooks target Python 2.7
- you need production-grade DSP code

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: data-science, audio-processing, math
- domain: tutorials, education, data-science
- platform: python, cross-platform
- tags: jupyter-notebooks, signal-processing, fourier-transform, stochastic-processes, book-companion, audio

## Member repositories
- unpingco/Python-for-Signal-Processing (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:30.505835+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:29:31.270470+00:00, confidence not recorded.
  - readme: https://github.com/unpingco/Python-for-Signal-Processing (fetched 2026-08-28T04:05:30.505835+00:00, sha 174bd39f2149)
- Data as of 2026-08-30T08:39:29.467469+00:00.