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Comparison of multi-paradigm programming languages
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Comparison of multi-paradigm programming languages : ウィキペディア英語版
Comparison of multi-paradigm programming languages

Programming languages can be grouped by the number and types of paradigms supported.
==Paradigm summaries==
A concise reference for the programming paradigms listed in this article.
* Concurrent programming – have language constructs for concurrency, these may involve multi-threading, support for distributed computing, message passing, shared resources (including shared memory), or futures
*
* Actor programming – concurrent computation with ''actors'' that make local decisions in response to the environment (capable of selfish or competitive behavior)
* Constraint programming – relations between variables are expressed as constraints (or constraint networks), directing allowable solutions (uses constraint satisfaction or simplex algorithm)
* Dataflow programming – forced recalculation of formulas when data values change (e.g. spreadsheets)
* Declarative programming – describes actions (e.g. HTML describes a page but not how to actually display it)
* Distributed programming – have support for multiple autonomous computers that communicate via computer networks
* Functional programming – uses evaluation of mathematical functions and avoids state and mutable data
* Generic programming – uses algorithms written in terms of to-be-specified-later types that are then instantiated as needed for specific types provided as parameters
* Imperative programming – explicit statements that change a program state
* Logic programming – uses explicit mathematical logic for programming
* Metaprogramming – writing programs that write or manipulate other programs (or themselves) as their data, or that do part of the work at compile time that would otherwise be done at runtime
*
* Template metaprogramming – metaprogramming methods in which templates are used by a compiler to generate temporary source code, which is merged by the compiler with the rest of the source code and then compiled
*
* Reflective programming – metaprogramming methods in which a program modifies or extends itself
* Object-oriented programming – uses data structures consisting of data fields and methods together with their interactions (objects) to design programs
*
* Class-based – object-oriented programming in which inheritance is achieved by defining classes of objects, versus the objects themselves
*
* Prototype-based – object-oriented programming that avoids classes and implements inheritance via cloning of instances
* Pipeline programming – a simple syntax change to add syntax to nest function calls to language originally designed with none
* Rule-based programming – a network of rules of thumb that comprise a knowledge base and can be used for expert systems and problem deduction & resolution
* Visual programming – manipulating program elements graphically rather than by specifying them textually (e.g. Simulink); also termed ''diagrammatic programming''

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