# kurong00/GameProgramBooks

E-books collected according to Milo Yip's learning path

Repository: https://github.com/kurong00/GameProgramBooks
Canonical: https://ross.abutalabs.com/products/gameprogrambooks
License Family: other
Last push: 2025-02-11T11:27:34+00:00

## Health v2 (maintenance only)
Score: 35/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 6, release rhythm 35, longevity 100
- inputs: {"age_days": 1942, "days_push": 568, "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 1950, forks 387 (observed 2026-08-28T04:05:58.066618+00:00)

## What it is
A curated collection of e-books (mostly PDFs) organized according to Milo Yip's game programmer learning path. It covers computer science fundamentals, programming languages like C++, C#, and Lua, and game development topics.

## Use cases
- find books to learn game programming
- follow a structured game developer learning path
- download classic CS textbooks like Introduction to Algorithms
- learn C++ for game development
- find graphics and game engine books
- self-study computer science fundamentals

## When to choose
- you want a curated reading list for becoming a game programmer
- you prefer learning from full e-books rather than tutorials
- you want to follow Milo Yip's well-known game-programmer roadmap

## When to avoid
- you need actual software, code, or tools rather than books
- you require legally licensed distributions (many PDFs are copyrighted)
- you want interactive courses or video tutorials

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation
- domain: tutorials, awesome-lists, education
- platform: cross-platform
- tags: ebooks, game-programming, learning-path, pdf-books, c-plus-plus, computer-graphics, game-development

## Member repositories
- kurong00/GameProgramBooks (main) score 35

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:58.066618+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 2026-08-30T03:06:52.610679+00:00, confidence not recorded.
  - readme: https://github.com/kurong00/GameProgramBooks (fetched 2026-08-28T04:05:58.066618+00:00, sha 071b9a503555)
- Data as of 2026-08-30T08:39:29.467469+00:00.