Curry: A Functional Logic Programming Language
Curry is a multi-paradigm programming language that combines functional and logic programming, featuring strong typing, automatic type inference, non-determinism, and various implementations like PAKCS and MCC.
Read original article
Curry is a multi-paradigm programming language that integrates features from both functional and logic programming. It is designed to be purely declarative, meaning that the results of computations are independent of the order of evaluation, which simplifies program reasoning. Curry supports strong typing with automatic type inference, allowing the compiler to deduce types without explicit annotations from the programmer. The language also features non-determinism, enabling operations to yield different results for the same input, which aligns with logic programming styles while retaining functional programming advantages like lazy evaluation. Free variables in Curry represent unknown values that can be instantiated for evaluation. The development of Curry is a collaborative international effort aimed at providing a unified platform for research, teaching, and application of integrated functional logic languages. Several implementations of Curry exist, including the Portland Aachen Kiel Curry System (PAKCS) and the Münster Curry Compiler (MCC). The Curry Package Manager (CPM) facilitates the distribution and management of libraries and applications, while CurryDoc generates documentation for programs. Additionally, Curr(y)gle serves as an API search engine for Curry libraries.
- Curry is a multi-paradigm programming language combining functional and logic programming features.
- It is purely declarative, with strong typing and automatic type inference.
- Non-determinism allows operations to return different results for the same input.
- The Curry Package Manager (CPM) manages libraries and applications.
- Several implementations of Curry are available, including PAKCS and MCC.
Related
Introduction to the λ-Calculus
The λ-calculus is a foundational framework in computer science, influencing programming languages and introducing concepts like currying, variable types, and key operations such as β-reduction and α-conversion.
C3 lang – A modern C alternative – 0.6.3 released
C3 is a programming language derived from C, emphasizing ergonomics and safety, with features like optionals, SIMD support, and a developing standard library for graphics and game frameworks.
Stages of Denial
K is a closed-source programming language with cryptic syntax, allowing concise expressions but sacrificing readability. The author explores its potential and compares it to J and APL, discussing code clarity versus cleverness.
Why Clojure?
Clojure is a programming language focused on developer productivity and maintainability, featuring an interactive environment, stability, backward compatibility, and a supportive community, making it suitable for modern computing needs.
How Cursor (AI IDE) Works
Cursor is an AI IDE that enhances coding efficiency using LLMs, relying on prompt optimization, user context, and a semantic diff approach to minimize errors and improve productivity.
8 commentshttps://curry-lang.org/docs/report/curry-report.pdf
Interesting, the email at the end of this thread: https://news.ycombinator.com/item?id=12668591
speed, compare code samples of small algorithms, any notable dependencies, features (immutable data, static typing etc.), etc.
I really feel like Prolog and its horn clause syntax are underappreciated. For as much as lispers will rant and rave about macros, how their code is data, it always struck me as naive cope. How can you say that code is data (outside of the obvious von neumann meaning), but still require a special atomic operation to distinguish the two? In Prolog, there is no such thing as a quote. It literally doesn't make sense as a concept. Code is just data. There is no distinguishing between the two, they're fully unified as concepts (pun intended). It's a special facet of Prolog that only makes sense in its exotic execution model that doesn't even have a concept of a "function".
For that reason, I tend to have a pessimistic outlook on things like Curry. Static types are nice, and they don't work well with horn clauses (without abusing atoms/terms as a kind of type-system), but it's really not relevant enough to the paradigm that replacing beautiful horn clauses with IYSWIM/ML syntax makes sense to me. Quite frankly, I have great disdain even for Elixir which trades the beautiful Prolog-derived syntax of Erlang for a psuedo-Ruby.
One thing I really would like to see is further development of the abstract architectures used for logic programming systems. The WAM is cool, but it's absolute ancient and theory has progressed lightyears since it was designed. The interaction calculus, or any graph reduction architecture, promises huge boons for a neo-prolog system. GHC has incidentally paved the way for a brand new generation of logic programming. Sometimes I feel crazy for being the only one who sees it.
Related
Introduction to the λ-Calculus
The λ-calculus is a foundational framework in computer science, influencing programming languages and introducing concepts like currying, variable types, and key operations such as β-reduction and α-conversion.
C3 lang – A modern C alternative – 0.6.3 released
C3 is a programming language derived from C, emphasizing ergonomics and safety, with features like optionals, SIMD support, and a developing standard library for graphics and game frameworks.
Stages of Denial
K is a closed-source programming language with cryptic syntax, allowing concise expressions but sacrificing readability. The author explores its potential and compares it to J and APL, discussing code clarity versus cleverness.
Why Clojure?
Clojure is a programming language focused on developer productivity and maintainability, featuring an interactive environment, stability, backward compatibility, and a supportive community, making it suitable for modern computing needs.
How Cursor (AI IDE) Works
Cursor is an AI IDE that enhances coding efficiency using LLMs, relying on prompt optimization, user context, and a semantic diff approach to minimize errors and improve productivity.