Recursion Schemes
A curated collection of resources for learning and applying recursion schemes in functional programming.
What is Recursion Schemes?
Awesome Recursion Schemes is a curated list of resources dedicated to the topic of recursion schemes in functional programming. It compiles tutorials, academic papers, presentations, and library implementations to help developers learn how to use these patterns for automating recursion over data structures. The project solves the problem of scattered information by providing a single, organized reference point.
Functional programmers, particularly those using Haskell or Scala, who want to deepen their understanding of advanced recursion patterns. It's also valuable for academics and developers exploring category theory applications in software design.
Developers choose this resource because it aggregates high-quality, community-vetted materials from experts like Edward Kmett and Bartosz Milewski into one accessible location. Its unique value is in bridging theoretical concepts with practical implementations across multiple programming languages.
Overview
Resources for learning and using recursion schemes.
Use Cases
Best For
- Learning the theory behind catamorphisms, anamorphisms, and other recursion schemes
- Finding practical examples of applying hylomorphisms to solve coding challenges
- Comparing recursion scheme implementations across different functional languages
- Accessing academic papers and presentations on advanced recursion patterns
- Discovering libraries like `recursion-schemes` for Haskell or `Matryoshka` for Scala
- Understanding how to replace manual recursion with composable combinators
Not Ideal For
- Teams working in imperative or object-oriented languages like Python or Java who need quick recursion solutions without adopting functional paradigms
- Developers seeking drop-in code snippets or libraries for common tasks without understanding underlying category theory concepts
- Projects with tight deadlines or limited resources that cannot afford the steep learning curve associated with advanced functional programming topics
Pros & Cons
Pros
Aggregates diverse materials from introductions to academic papers, presentations, and cheat sheets, saving time for researchers and learners by centralizing scattered information.
Includes libraries and examples for Haskell, Scala, JavaScript, and other languages, allowing developers to explore recursion schemes in their preferred functional ecosystem.
Features articles like 'Stalking a Hylomorphism in the Wild' that demonstrate solving concrete coding challenges, bridging theory with real-world use cases.
Curates content from noted authorities like Edward Kmett and Bartosz Milewski, ensuring high-quality, vetted resources that reflect best practices in the field.
Cons
The sheer volume and advanced nature of resources, such as academic papers and theoretical presentations, can be intimidating without prior functional programming experience.
As a static list, it lacks interactive tutorials or hands-on exercises, requiring users to seek external platforms for practical coding practice.
Heavily emphasizes Haskell and Scala ecosystems, with limited support for newer or non-functional languages, potentially excluding developers from other backgrounds.
Frequently Asked Questions
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