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Well-known examples of declarative domain-specific languages (DSLs) include the yacc parser generator input language, QML, the Make build specification language, Puppet's configuration management language, regular expressions, Datalog, answer set programming and a subset of SQL (SELECT queries, for example).
Declarative programming stands in contrast to imperative programming via imperative programming languages, where control flow is specified by serial orders (imperatives). (Pure) functional and logic-based programming languages are also declarative, and constitute the major subcategories of the declarative category. This section lists additional ...
This category lists those programming languages that adhere to the declarative programming paradigm. Subcategories This category has the following 6 subcategories, out of 6 total.
Construct is a Python library for the construction and deconstruction of data structures in a declarative fashion. In this context, construction, or building, refers to the process of converting ( serializing ) a programmatic object into a binary representation.
FilterMeister is a programming environment, with a programming language that is based on C, for the specific purpose of creating Photoshop-compatible image processing filter plug-ins; FilterMeister runs as a Photoshop plug-in itself and it can load and execute scripts or compile and export them as independent plug-ins. Although the ...
Functional programming is a subset of declarative programming. Programs written using this paradigm use functions , blocks of code intended to behave like mathematical functions . Functional languages discourage changes in the value of variables through assignment , making a great deal of use of recursion instead.
In computer science, functional programming is a programming paradigm where programs are constructed by applying and composing functions. It is a declarative programming paradigm in which function definitions are trees of expressions that map values to other values, rather than a sequence of imperative statements which update the running state ...
An early example of answer set programming was the planning method proposed in 1997 by Dimopoulos, Nebel and Köhler. [3] [4] Their approach is based on the relationship between plans and stable models. [5] In 1998 Soininen and Niemelä [6] applied what is now known as answer set programming to the problem of product configuration. [4]