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Interpreted languages are programming languages in which programs may be executed from source code form, by an interpreter. Theoretically, any language can be compiled or interpreted, so the term interpreted language generally refers to languages that are usually interpreted rather than compiled.
It is also possible to cross-compile to other languages, but it either doesn't provide the full speed-up that might be expected, since Python is a very dynamic language, or a restricted subset of Python is compiled, and possibly semantics are slightly changed. [88] Python's developers aim for it to be fun to use.
The terms "interpreted language" or "compiled language" signify that the canonical implementation of that language is an interpreter or a compiler, respectively. A high-level language is ideally an abstraction independent of particular implementations.
Download QR code; Print/export ... Interpreted, compiled for some languages (deprecated) XML: ... Groovy and Python: Interpreted, compiled XML, XHTML, CSS ...
Programming languages can have multiple implementations. Different implementations can be written in different languages and can use different methods to compile or interpret code. For example, implementations of Python include: [9] CPython, the reference implementation of Python; IronPython, an implementation targeting the .NET Framework ...
A compiled language is a programming language for which source code is typically compiled; not interpreted. The term is vague since, in principle, any language can be compiled or interpreted and in practice some languages are both (in different environments). [ 1 ]
It may be necessary to consider whether a programming language will perform better interpreted, or compiled, if a language should be dynamically or statically typed, if inheritance will be in, and the general syntax of the language. [3] Many factors involved with the design of a language can be decided on by the goals behind the language.
Few languages ever become sufficiently popular that they are used by more than a few people, but professional programmers may use dozens of languages in a career. Most programming languages are not standardized by an international (or national) standard, even widely used ones, such as Perl or Standard ML (despite the name).