# nbro/understanding-math

Links to resources talking about how to learn & understand mathematics, and mathematical language, terminology and notation.

Repository: https://github.com/nbro/understanding-math
Canonical: https://ross.abutalabs.com/products/understanding-math
License Family: other
Topics: mathematics, understanding, links
Last push: 2024-11-22T13:03:17+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": 3651, "days_push": 649, "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 1256, forks 98 (observed 2026-08-28T04:04:08.983169+00:00)

## What it is
A curated awesome-style list of links to articles, papers, books, and videos about learning and understanding mathematics, including mathematical language, terminology, and notation. It is a reference collection rather than software.

## Use cases
- find resources to understand math concepts deeply
- learn how to study mathematics effectively
- discover books on mathematical problem solving
- find videos explaining mathematical thinking
- learn mathematical notation and terminology

## When to choose
- you want curated external resources for learning math
- you are a student struggling with mathematical understanding
- you want study guides and pedagogy papers on math

## When to avoid
- you need software or a tool rather than a link list
- you need structured lessons or interactive exercises
- you need a specific math topic reference rather than learning methodology

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation
- domain: mathematics, education, tutorials, awesome-lists
- platform: -
- tags: awesome-list, curated-links, math-education, study-guide, web

## Member repositories
- nbro/understanding-math (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:08.983169+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 2026-08-30T05:07:16.980465+00:00, confidence not recorded.
  - readme: https://github.com/nbro/understanding-math (fetched 2026-08-28T04:04:08.983169+00:00, sha b6fe944924d4)
- Data as of 2026-08-30T08:39:29.467469+00:00.