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Interpreter (computing) and Turing completeness

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Interpreter (computing) and Turing completeness

Interpreter (computing) vs. Turing completeness

In computer science, an interpreter is a computer program that directly executes, i.e. performs, instructions written in a programming or scripting language, without requiring them previously to have been compiled into a machine language program. In computability theory, a system of data-manipulation rules (such as a computer's instruction set, a programming language, or a cellular automaton) is said to be Turing complete or computationally universal if it can be used to simulate any Turing machine.

Similarities between Interpreter (computing) and Turing completeness

Interpreter (computing) and Turing completeness have 12 things in common (in Unionpedia): C (programming language), Compiler, Computer program, Control flow, Finite-state machine, Java (programming language), Lisp (programming language), Pascal (programming language), Programming language, Prolog, Python (programming language), Smalltalk.

C (programming language)

C (as in the letter ''c'') is a general-purpose, imperative computer programming language, supporting structured programming, lexical variable scope and recursion, while a static type system prevents many unintended operations.

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Compiler

A compiler is computer software that transforms computer code written in one programming language (the source language) into another programming language (the target language).

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Computer program

A computer program is a collection of instructions for performing a specific task that is designed to solve a specific class of problems.

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Control flow

In computer science, control flow (or flow of control) is the order in which individual statements, instructions or function calls of an imperative program are executed or evaluated.

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Finite-state machine

A finite-state machine (FSM) or finite-state automaton (FSA, plural: automata), finite automaton, or simply a state machine, is a mathematical model of computation.

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Java (programming language)

Java is a general-purpose computer-programming language that is concurrent, class-based, object-oriented, and specifically designed to have as few implementation dependencies as possible.

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Lisp (programming language)

Lisp (historically, LISP) is a family of computer programming languages with a long history and a distinctive, fully parenthesized prefix notation.

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Pascal (programming language)

Pascal is an imperative and procedural programming language, which Niklaus Wirth designed in 1968–69 and published in 1970, as a small, efficient language intended to encourage good programming practices using structured programming and data structuring. It is named in honor of the French mathematician, philosopher and physicist Blaise Pascal. Pascal was developed on the pattern of the ALGOL 60 language. Wirth had already developed several improvements to this language as part of the ALGOL X proposals, but these were not accepted and Pascal was developed separately and released in 1970. A derivative known as Object Pascal designed for object-oriented programming was developed in 1985; this was used by Apple Computer and Borland in the late 1980s and later developed into Delphi on the Microsoft Windows platform. Extensions to the Pascal concepts led to the Pascal-like languages Modula-2 and Oberon.

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Programming language

A programming language is a formal language that specifies a set of instructions that can be used to produce various kinds of output.

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Prolog

Prolog is a general-purpose logic programming language associated with artificial intelligence and computational linguistics.

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Python (programming language)

Python is an interpreted high-level programming language for general-purpose programming.

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Smalltalk

Smalltalk is an object-oriented, dynamically typed, reflective programming language.

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The list above answers the following questions

Interpreter (computing) and Turing completeness Comparison

Interpreter (computing) has 113 relations, while Turing completeness has 116. As they have in common 12, the Jaccard index is 5.24% = 12 / (113 + 116).

References

This article shows the relationship between Interpreter (computing) and Turing completeness. To access each article from which the information was extracted, please visit:

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