Extensible Stylesheet Language Transformations - definizione. Che cos'è Extensible Stylesheet Language Transformations
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Cosa (chi) è Extensible Stylesheet Language Transformations - definizione

LANGUAGE FOR TRANSFORMING XML DOCUMENTS
Xslt; XSL-T; Extensible Stylesheet Language Transformations; XLST; XSLT 2.0; XML template engine; XML template processor; XSLT processor; XSL Transformation; .xsl; .xslt; XSL Transformations

Extensible Stylesheet Language Transformations         
<World-Wide Web> (XSLT) A W3C standard for transforming XML documents into other XML documents or other formats. This was conceived as part of XSL but has been found to have wider applications. http://w3.org/TR/xslt. (2001-10-04)
XSLT         
eXtensible Stylesheet Language Transformations (Reference: XSL, XML)

Wikipedia

XSLT

XSLT (Extensible Stylesheet Language Transformations) is a language originally designed for transforming XML documents into other XML documents, or other formats such as HTML for web pages, plain text or XSL Formatting Objects, which may subsequently be converted to other formats, such as PDF, PostScript and PNG. Support for JSON and plain-text transformation was added in later updates to the XSLT 1.0 specification.

As of August 2022, the most recent stable version of the language is XSLT 3.0, which achieved Recommendation status in June 2017.

XSLT 3.0 implementations support Java, .NET, C/C++, Python, PHP and NodeJS. An XSLT 3.0 Javascript library can also be hosted within the Web Browser. Modern web browsers also include native support for XSLT 1.0.

For an XSLT document transformation, the original document is not changed; rather, a new document is created based on the content of an existing one. Typically, input documents are XML files, but anything from which the processor can build an XQuery and XPath Data Model can be used, such as relational database tables or geographical information systems.

While XSLT was originally designed as a special-purpose language for XML transformation, the language is Turing-complete, making it theoretically capable of arbitrary computations.