# lampepfl/progfun-wiki

Repository: https://github.com/lampepfl/progfun-wiki
Canonical: https://ross.abutalabs.com/products/progfun-wiki
Language: HTML
License Family: other
Last push: 2024-01-23T13:44:06+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": 5136, "days_push": 953, "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 1789, forks 2217 (observed 2026-08-28T04:05:36.430164+00:00)

## What it is
A Jekyll-based wiki containing course materials for EPFL's Principles of Functional Programming (Scala) course, published to Coursera. It provides lecture notes and documentation for learners of functional programming in Scala.

## Use cases
- learn functional programming in Scala
- study EPFL's functional programming course notes
- prepare for the Coursera Principles of Functional Programming class
- find Scala course exercises and lecture material
- reference material for teaching functional programming

## When to choose
- you are taking or teaching the EPFL/Coursera functional programming course
- you want structured Scala functional programming course notes
- you need supplementary material for learning Scala

## When to avoid
- you want a general Scala tutorial outside this course's structure
- you need runnable software rather than course documentation
- you want up-to-date materials independent of Coursera publishing

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, markdown
- domain: education, programming-languages, tutorials
- platform: jvm
- tags: scala, functional-programming, coursera, jekyll, course-materials, epfl, web-server

## Member repositories
- lampepfl/progfun-wiki (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:36.430164+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 2026-08-30T03:23:18.937617+00:00, confidence not recorded.
  - readme: https://github.com/lampepfl/progfun-wiki (fetched 2026-08-28T04:05:36.430164+00:00, sha 3405dfb2e159)
- Data as of 2026-08-30T08:39:29.467469+00:00.