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Code for parsing and generating JSON data is readily available in many programming languages. JSON's website lists JSON libraries by language. In October 2013, Ecma International published the first edition of its JSON standard ECMA-404. [4] That same year, RFC 7158 used ECMA-404 as a reference.
JSONiq [11] is a query and transformation language for JSON. XPath 3.1 [12] is an expression language that allows the processing of values conforming to the XDM [13] data model. The version 3.1 of XPath supports JSON as well as XML. jq is like sed for JSON data – it can be used to slice and filter and map and transform structured data.
JSON: No Smile Format Specification: Yes No Yes Partial (JSON Schema Proposal, other JSON schemas/IDLs) Partial (via JSON APIs implemented with Smile backend, on Jackson, Python) — SOAP: W3C: XML: Yes W3C Recommendations: SOAP/1.1 SOAP/1.2: Partial (Efficient XML Interchange, Binary XML, Fast Infoset, MTOM, XSD base64 data) Yes Built-in id ...
JSON is a lightweight plain-text alternative to XML, and is also commonly used for client-server communication in web applications. JSON is based on JavaScript syntax, but is independent of JavaScript and supported in many other programming languages. JSON is an open format, standardized as STD 90 (RFC 8259), ECMA-404, and ISO/IEC 21778:2017.
Markup and programming language support is defined in XML files that are loaded with Libxml2. The optional plugins require libenchant, python and libgucharmap. [57] Building a binary is done with Automake and Autoconf to configure and set up its build environment. Both llvm and GCC can be used to compile Bluefish.
Go is designed for the "speed of working in a dynamic language like Python" [239] and shares the same syntax for slicing arrays. Groovy was motivated by the desire to bring the Python design philosophy to Java. [240] Julia was designed to be "as usable for general programming as Python". [27]
Like natural languages, programming languages follow rules for syntax and semantics. There are thousands of programming languages [ 1 ] and new ones are created every year. 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.
Core Python Programming is a textbook on the Python programming language, written by Wesley J. Chun. The first edition of the book was released on December 14, 2000. [1] The second edition was released several years later on September 18, 2006. [2] Core Python Programming is mainly targeted at higher education students and IT professionals. [3]