# tonymorris/fp-course

Functional Programming Course

Repository: https://github.com/tonymorris/fp-course
Canonical: https://ross.abutalabs.com/products/tonymorris-fp-course
Language: Haskell
License Family: other
Last push: 2023-03-06T02:28:36+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 5543, "days_push": 1277, "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 1030, forks 129 (observed 2026-08-28T04:03:17.846197+00:00)

## What it is
A structured functional programming course written in Haskell, originally created by Tony Morris and Mark Hibberd for Data61 (formerly NICTA). It consists of a linear progression of exercises where learners fill in answers that have been replaced with error calls.

## Use cases
- learn functional programming in Haskell
- practice Haskell exercises with a guided progression
- self-study course material for FP concepts
- teach a functional programming course
- work through functor, monad, and applicative exercises

## When to choose
- you want a rigorous, exercise-driven introduction to functional programming
- you prefer learning Haskell by implementing concepts from scratch
- you have access to a mentor or community for guidance

## When to avoid
- you want a self-contained tutorial with all answers included
- you need a beginner-friendly intro without personal guidance
- you are looking for a maintained library rather than course material

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: programming-language
- domain: programming-languages, tutorials, education
- platform: cross-platform
- tags: haskell, functional-programming, exercises, course, education

## Member repositories
- tonymorris/fp-course (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:17.846197+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 2026-08-30T07:07:35.870631+00:00, confidence not recorded.
  - readme: https://github.com/tonymorris/fp-course (fetched 2026-08-28T04:03:17.846197+00:00, sha 245e818c8e6a)
- Data as of 2026-08-30T08:39:29.467469+00:00.