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A programming paradigm is a relatively high-level way to conceptualize and structure the implementation of a computer program. A programming language can be classified as supporting one or more paradigms. [1] Paradigms are separated along and described by different dimensions of programming.
It supports most major paradigms [27] in one language so that students can learn paradigms without having to learn multiple syntaxes. Oz contains most of the concepts of the major programming paradigms, including logic, functional (both lazy and eager), imperative, object-oriented, constraint, distributed, and concurrent programming.
It also contains programming paradigms, software development methodologies, software development processes, and single practices, principles, and laws. Some of the mentioned methods are more relevant to a specific field than another, such as automotive or aerospace.
Structured programming is a programming paradigm aimed at improving the clarity, quality, and development time of a computer program by making specific disciplined use of the structured control flow constructs of selection (if/then/else) and repetition (while and for), block structures, and subroutines.
Literate Programming by Donald Knuth is the seminal book on literate programming.. Literate programming is a programming paradigm introduced in 1984 by Donald Knuth in which a computer program is given as an explanation of how it works in a natural language, such as English, interspersed (embedded) with snippets of macros and traditional source code, from which compilable source code can be ...
In computing, subject-oriented programming is an object-oriented software paradigm in which the state (fields) and behavior (methods) of objects are not seen as intrinsic to the objects themselves, but are provided by various subjective perceptions ("subjects") of the objects.
Logic programming is a programming, database and knowledge representation paradigm based on formal logic. A logic program is a set of sentences in logical form, representing knowledge about some problem domain. Computation is performed by applying logical reasoning to that knowledge, to solve problems in the domain.
As envisioned by Simonyi, developing a new application via the Intentional Programming paradigm proceeds as follows. A programmer builds a WYSIWYG-like environment supporting the schema and notation of business knowledge for a given problem domain (such as productivity applications or life insurance).