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XPath (XML Path Language) is an expression language designed to support the query or transformation of XML documents. It was defined by the World Wide Web Consortium (W3C) in 1999, [ 1 ] and can be used to compute values (e.g., strings , numbers, or Boolean values ) from the content of an XML document.
FastAPI is a high-performance web framework for building HTTP-based service APIs in Python 3.8+. [3] It uses Pydantic and type hints to validate, serialize and deserialize data. FastAPI also automatically generates OpenAPI documentation for APIs built with it. [4] It was first released in 2018.
The XML-RPC protocol was created in 1998 by Dave Winer of UserLand Software and Microsoft, [2] with Microsoft seeing the protocol as an essential part of scaling up its efforts in business-to-business e-commerce. [3] As new functionality was introduced, the standard evolved into what is now SOAP. [4]
HTTP Codes When using GET, POST, PUT, and DELETE, we will usually receive one of the following codes: 2xx – Success Codes 200 OK – success (most common with GET) 201 Created – request ...
[citation needed] It takes its name from the poem Beautiful Soup from Alice's Adventures in Wonderland [5] and is a reference to the term "tag soup" meaning poorly-structured HTML code. [6] Richardson continues to contribute to the project, [ 7 ] which is additionally supported by paid open-source maintainers from the company Tidelift.
RDFLib is a Python library for working with RDF, [2] a simple yet powerful language for representing information. This library contains parsers/serializers for almost all of the known RDF serializations, such as RDF/XML, Turtle, N-Triples, & JSON-LD, many of which are now supported in their updated form (e.g. Turtle 1.1).
The XML Infoset specification provides a vocabulary to refer to the constructs within an XML document, but does not provide any guidance on how to access this information. A variety of APIs for accessing XML have been developed and used, and some have been standardized. Existing APIs for XML processing tend to fall into these categories:
XML is very well suited to sparse data, deeply nested data and mixed content (such as text with embedded markup tags) XML is human readable whereas relational tables require expertise to access; Metadata is often available as XML; Semantic web data is available as RDF/XML; Provides a solution for Object-relational impedance mismatch [3]