# orlandpm/Math-for-Programmers

Source code for the book, Math for Programmers

Repository: https://github.com/orlandpm/Math-for-Programmers
Canonical: https://ross.abutalabs.com/products/math-for-programmers
Language: Jupyter Notebook
License Family: other
Last push: 2024-06-29T05:16:00+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2282, "days_push": 795, "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 1027, forks 474 (observed 2026-08-28T04:03:16.935952+00:00)

## What it is
Source code repository for the book 'Math for Programmers' by Paul Orland, written as Jupyter Notebooks. It provides runnable examples covering applied math topics like vectors, matrices, calculus, and 3D graphics for programmers.

## Use cases
- learn the math behind 3D graphics programming
- work through book exercises in Jupyter notebooks
- refresh linear algebra and calculus for software work
- understand vectors and matrices with Python examples

## When to choose
- you are reading Math for Programmers and want the companion code
- you prefer learning math through runnable Python notebooks

## When to avoid
- you need a production math library rather than educational code
- you want a maintained, licensed software dependency

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: math, data-science, data-visualization
- domain: mathematics, education, tutorials
- platform: python
- tags: book-source-code, jupyter-notebooks, 3d-math, vectors, learning

## Member repositories
- orlandpm/Math-for-Programmers (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:16.935952+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 2026-08-30T07:07:53.793530+00:00, confidence not recorded.
  - readme: https://github.com/orlandpm/Math-for-Programmers (fetched 2026-08-28T04:03:16.935952+00:00, sha 7274f646b534)
- Data as of 2026-08-30T08:39:29.467469+00:00.