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  2. JSONPath - Wikipedia

    en.wikipedia.org/wiki/JSONPath

    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.

  3. Comparison of data-serialization formats - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_data...

    ^ Omitted XML elements are commonly decoded by XML data binding tools as NULLs. Shown here is another possible encoding; XML schema does not define an encoding for this datatype. ^ The RFC CSV specification only deals with delimiters, newlines, and quote characters; it does not directly deal with serializing programming data structures .

  4. JSON - Wikipedia

    en.wikipedia.org/wiki/JSON

    XML separates "data" from "metadata" (via the use of elements and attributes), while JSON does not have such a concept. Another key difference is the addressing of values. JSON has objects with a simple "key" to "value" mapping, whereas in XML addressing happens on "nodes", which all receive a unique ID via the XML processor.

  5. List of file formats - Wikipedia

    en.wikipedia.org/wiki/List_of_file_formats

    List of the most common filename extensions used when a game's ROM image or storage medium is copied from an original read-only memory (ROM) device to an external memory such as hard disk for back up purposes or for making the game playable with an emulator. In the case of cartridge-based software, if the platform specific extension is not used ...

  6. List of tools for static code analysis - Wikipedia

    en.wikipedia.org/wiki/List_of_tools_for_static...

    A leading Java IDE with built-in code inspection and analysis. Plugins for Checkstyle, FindBugs, and PMD. JArchitect: 2017-06-11 No; proprietary Simplifies managing a complex code base by analyzing and visualizing code dependencies, defining design rules, doing impact analysis, and by comparing different versions of the code. Jtest: 2019-05-21

  7. Type–length–value - Wikipedia

    en.wikipedia.org/wiki/Type–length–value

    A version 1 system which received a message from a version 2 system would first read the command_c element and then read an element of type callingNumber_c. The version 1 system does not understand callingNumber_c , so the length field is read (i.e. 14) and the system skips forward 14 bytes to read

  8. BSON - Wikipedia

    en.wikipedia.org/wiki/BSON

    Compared to JSON, BSON is designed to be efficient both in storage space and scan-speed. Large elements in a BSON document are prefixed with a length field to facilitate scanning. In some cases, BSON will use more space than JSON due to the length prefixes and explicit array indices. [2]

  9. JSON-LD - Wikipedia

    en.wikipedia.org/wiki/JSON-LD

    JSON-LD is designed around the concept of a "context" to provide additional mappings from JSON to an RDF model. The context links object properties in a JSON document to concepts in an ontology. In order to map the JSON-LD syntax to RDF, JSON-LD allows values to be coerced to a specified type or to be tagged with a language.