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Comparison of multi-paradigm programming languages

From Wikipedia, the free encyclopedia

Programming languages can be grouped by the number and types of paradigms supported.

Paradigm summaries

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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 behaviour)
  • 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 what computation should perform, without specifying detailed state changes cf. imperative programming (functional and logic programming are major subgroups of declarative programming)
  • 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 a compiler uses templates 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[1]

Language overview

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See also

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Notes

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  1. ↑ rendezvous and monitor-like based
  2. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 class-based
  3. 1 2 3 4 5 template metaprogramming
  4. 1 2 3 using TPL Dataflow
  5. ↑ only lambda support (lazy functional programming)
  6. ↑ using TPL Dataflow
  7. 1 2 3 using Reactive Extensions (Rx)
  8. ↑ multiple dispatch, method combinations
  9. 1 2 3 4 5 actor programming
  10. ↑ promises, native extensions
  11. ↑ using Node.js' cluster module or child_process.fork method, web workers in the browser, etc.
  12. 1 2 3 4 Prototype-based
  13. ↑ using Reactive Extensions (RxJS)
  14. ↑ in Node.js via their events module
  15. ↑ in browsers via their native EventTarget API
  16. 1 2 3 purely functional
  17. ↑ parameterized classes
  18. ↑ immutable
  19. ↑ Uses structs with function polymorphism and multiple dispatch
  20. ↑ Akka Archived 2013-01-19 at the Wayback Machine

Citations

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  1. ↑ Bragg, S.D.; Driskill, C.G. (20–22 September 1994). "Diagrammatic-graphical programming languages and DoD-STD-2167A". Proceedings of AUTOTESTCON '94 (Facebook. Institute of Electrical and Electronics Engineers (IEEE). pp. 211–220. doi:10.1109/AUTEST.1994.381508. ISBN 978-0-7803-1910-3. S2CID 62509261.
  2. ↑ Ada Reference Manual, ISO/IEC 8652:2005(E) Ed. 3, Section 9: Tasks and Synchronization
  3. ↑ Ada Reference Manual, ISO/IEC 8652:2005(E) Ed. 3 Annex E: Distributed Systems
  4. ↑ Ada Reference Manual, ISO/IEC 8652:2005(E) Ed. 3, Section 12: Generic Units
  5. ↑ Ada Reference Manual, ISO/IEC 8652:2005(E) Ed. 3, Section 6: Subprograms
  6. ↑ Ada Reference Manual, ISO/IEC 8652:2005(E) Ed. 3, 3.9 Tagged Types and Type Extensions
  7. ↑ Thread support
  8. ↑ Atomics support
  9. ↑ Memory model
  10. ↑ Gecode
  11. ↑ SystemC
  12. ↑ Boost.Iostreams
  13. ↑ Boolinq
  14. ↑ "AraRat" (PDF). Archived from the original (PDF) on 2019-08-19. Retrieved 2019-09-15.
  15. ↑ OpenMPI
  16. ↑ Boost.MPI
  17. ↑ Boost.MPL
  18. ↑ LC++
  19. ↑ Castor Archived 2013-01-25 at the Wayback Machine
  20. ↑ Reflect Library
  21. ↑ N3534
  22. ↑ Boost.Spirit
  23. ↑ Decider
  24. ↑ Zen
  25. ↑ LINQ
  26. ↑ Orleans
  27. ↑ WCF
  28. ↑ Reflection
  29. ↑ Source generators
  30. ↑ Guan
  31. ↑ NetPrints
  32. ↑ RulesEngine
  33. ↑ Clojure - Concurrent Programming
  34. ↑ Clojure - core.async
  35. ↑ Clojure - Functional Programming
  36. ↑ Clojure - Macros
  37. ↑ Clojure - core.logic
  38. ↑ Clojure - Threading Macros Guide
  39. ↑ Multimethods and Hierarchies
  40. ↑ Agents and Asynchronous Actions
  41. ↑ "concurrency". CLiki.
  42. ↑ constraint programming inside CL through extensions
  43. ↑ dataflow extension
  44. ↑ by creating DSLs using the built-in metaprogramming; also see note on functional, constraint and logic paradigms, which are part of declarative
  45. ↑ MPI, etc via language extensions
  46. ↑ template metaprogramming using macros (see C++)
  47. ↑ Prolog implemented as a language extension
  48. ↑ Common Lisp Object System see Wikipedia article on CLOS, the Common Lisp Object System.
  49. ↑ implemented by the user via a short macro, example of implementation
  50. ↑ - Visual programming tool based on Common Lisp
  51. ↑ rule-based programming extension
  52. ↑ Archived 2018-04-26 at the Wayback Machine through the Meta Object Protocol
  53. ↑ D Language Feature Table
  54. ↑ Phobos std.algorithm
  55. ↑ D language String Mixins
  56. ↑ The Little JavaScripter demonstrates fundamental commonality with Scheme, a functional language.
  57. ↑ Object-Oriented Programming in JavaScript Archived 2019-02-10 at the Wayback Machine gives an overview of object-oriented programming techniques in JavaScript.
  58. ↑ "React – A JavaScript library for building user interfaces". 2019-04-08.
  59. ↑ "TNG-Hooks". GitHub. 2019-04-08.
  60. ↑ "Lodash documentation". 2019-04-08.
  61. ↑ "mori". 2019-04-08.
  62. ↑ "TNG-Hooks". GitHub. 2019-04-08.
  63. ↑ "Prolog embedding". Haskell.org.
  64. ↑ "Functional Reactive Programming". HaskellWiki.
  65. ↑ Cloud Haskell
  66. ↑ "Template Haskell". HaskellWiki.
  67. ↑ "Logict: A backtracking logic-programming monad". Haskell.org.
  68. ↑ Kollmansberger, Steve; Erwig, Martin (30 May 2006). "Haskell Rules: Embedding Rule Systems in Haskell" (PDF). Oregon State University.
  69. ↑ https://jcp.org/en/jsr/detail?id=331 JSR 331: Constraint Programming API
  70. ↑ https://github.com/GoogleCloudPlatform/DataflowJavaSDK Google Cloud Platform Dataflow SDK
  71. ↑ "JuliaOpt/JuMP.jl". GitHub. JuliaOpt. 11 February 2020. Retrieved 12 February 2020.
  72. ↑ "GitHub - MikeInnes/DataFlow.jl". GitHub. 2019-01-15.
  73. ↑ "GitHub - JuliaGizmos/Reactive.jl: Reactive programming primitives for Julia". GitHub. 2018-12-28.
  74. ↑ https://github.com/davidanthoff/Query.jl Query almost anything in julia
  75. ↑ https://github.com/lilinjn/LilKanren.jl A collection of Kanren implementations in Julia
  76. ↑ "GitHub - abeschneider/PEGParser.jl: PEG Parser for Julia". GitHub. 2018-12-03.
  77. ↑ "GitHub - gitfoxi/Parsimonious.jl: A PEG parser generator for Julia". GitHub. 2017-08-03.
  78. ↑ Lazy https://github.com/MikeInnes/Lazy.jl
  79. ↑ "Execute loop iterations in parallel". mathworks.com. Retrieved 21 October 2016.
  80. ↑ "Write Constraints". mathworks.com. Retrieved 21 October 2016.
  81. ↑ "Getting Started with SimEvents". mathworks.com. Retrieved 21 October 2016.
  82. ↑ "Execute loop iterations in parallel". mathworks.com. Retrieved 21 October 2016.
  83. ↑ "Execute MATLAB expression in text - MATLAB eval". mathworks.com. Retrieved 21 October 2016.
  84. ↑ "Determine class of object". mathworks.com. Retrieved 21 October 2016.
  85. ↑ "Class Metadata". mathworks.com. Retrieved 21 October 2016.
  86. ↑ "Object-Oriented Programming". mathworks.com. Retrieved 21 October 2016.
  87. ↑ "Simulink". mathworks.com. Retrieved 21 October 2016.
  88. ↑ interpreter based threads
  89. ↑ Higher Order Perl
  90. ↑ PHP Manual, Chapter 17. Functions
  91. ↑ PHP Manual, Chapter 19. Classes and Objects (PHP 5)
  92. ↑ PHP Manual, Anonymous functions
  93. ↑ "Parallel Processing and Multiprocessing in Python". Python Wiki. Retrieved 21 October 2016.
  94. ↑ "threading — Higher-level threading interface". docs.python.org. Retrieved 21 October 2016.
  95. ↑ "python-constraint". pypi.python.org. Retrieved 21 October 2016.
  96. ↑ "DistributedProgramming". Python Wiki. Retrieved 21 October 2016.
  97. ↑ "Chapter 9. Metaprogramming". chimera.labs.oreilly.com. Archived from the original on 23 October 2016. Retrieved 22 October 2016.
  98. ↑ "Metaprogramming". readthedocs.io. Retrieved 22 October 2016.
  99. ↑ "PEP 443 – Single-dispatch generic functions". python.org. Retrieved 22 October 2016.
  100. ↑ "PEP 484 – Type Hints". python.org. Retrieved 22 October 2016.
  101. ↑ "PyDatalog". Retrieved 22 October 2016.
  102. ↑ "Futureverse".
  103. ↑ "future batchtools".
  104. ↑ "Magrittr: A Forward Pipe Operator for R". cran.r-project.org\access-date=13 July 2017. 17 November 2020.
  105. ↑ Racket Guide: Concurrency and Synchronization
  106. ↑ The Rosette Guide
  107. ↑ FrTime: A Language for Reactive Programs
  108. ↑ Racket Guide: Distributed Places
  109. ↑ Lazy Racket
  110. ↑ Channels and other mechanisms
  111. ↑ "Problem Solver module".
  112. ↑ Feed operator
  113. ↑ https://github.com/perl6/doc/issues/1744#issuecomment-360565196 Cro module
  114. ↑ "Meta-programming: What, why and how". 2011-12-14.
  115. ↑ https://perl6advent.wordpress.com/2009/12/18/day-18-roles/ Parametrized Roles
  116. ↑ "Meta-object protocol (MOP)".
  117. ↑ https://docs.perl6.org/language/classtut Classes and Roles
  118. ↑ "The Rust macros guide". Rust. Retrieved 19 January 2015.
  119. ↑ "The Rust compiler plugins guide". Rust. Retrieved 19 January 2015.
  120. ↑ The Rust Reference §6.1.3.1
  121. ↑ An Overview of the Scala Programming Language
  122. ↑ Scala Language Specification
  123. ↑ "Tcl Programming/Introduction". en.wikibooks.org. Retrieved 22 October 2016.
  124. ↑ "TCLLIB - Tcl Standard Library: snitfaq". sourceforge.net. Retrieved 22 October 2016.
  125. ↑ Notes for Programming Language Experts, Wolfram Language Documentation.
  126. ↑ External Programs, Wolfram Language Documentation.

References

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  • Jim Coplien, Multiparadigm Design for C++, Addison-Wesley Professional, 1998.