# arschles/go-in-5-minutes

Code and website for Go in 5 Minutes Screencasts

Repository: https://github.com/arschles/go-in-5-minutes
Canonical: https://ross.abutalabs.com/products/go-in-5-minutes
Homepage: https://gifm.dev
Language: JavaScript
License: Apache-2.0
License Family: permissive
Topics: golang, education, computer-science
Last push: 2024-08-27T20:10:58+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": 3998, "days_push": 736, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1348, forks 165 (observed 2026-08-28T04:04:27.790440+00:00)

## What it is
A collection of code samples, outlines, and videos for the 'Go in 5 Minutes' screencast series teaching practical Go programming topics. Each episode folder contains buildable, testable Go code accompanying short screencasts.

## Use cases
- learn go programming quickly
- short go screencasts for busy developers
- go testing and debugging tutorials
- learn gorilla mux and http servers in go
- go code examples for beginners
- go websocket tutorial

## When to choose
- you are learning Go and prefer short video-based lessons
- you want runnable, testable code samples alongside tutorials
- you need concise coverage of specific Go packages and best practices

## When to avoid
- you need comprehensive, up-to-date Go documentation
- you want a full-length course or structured curriculum
- you don't consume video/screencast content

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: developer-tools, testing, benchmarking, documentation
- domain: education, programming-languages, tutorials, developer-tools
- platform: go, cross-platform
- tags: screencasts, golang, video-tutorials, code-samples, learning

## Member repositories
- arschles/go-in-5-minutes (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:27.790440+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 2026-08-30T04:42:24.662940+00:00, confidence not recorded.
  - readme: https://github.com/arschles/go-in-5-minutes (fetched 2026-08-28T04:04:27.790440+00:00, sha d779d87c3047)
  - homepage: https://gifm.dev (fetched 2026-08-29T12:01:42.033305+00:00, sha b72cb325559a)
- Data as of 2026-08-30T08:39:29.467469+00:00.