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  2. General-purpose macro processor - Wikipedia

    en.wikipedia.org/wiki/General-purpose_macro...

    It can also load JSON data models for more complex data-driven text processing tasks. [9] PP 2016 PP is a text preprocessor designed for Pandoc (and more generally Markdown and reStructuredText). PP implements: Macros, literate programming, GraphViz, PlantUML and ditaa diagrams, Bash, Cmd, PowerShell, Python and Haskell scripts. [10] minimac

  3. Associative array - Wikipedia

    en.wikipedia.org/wiki/Associative_array

    In JavaScript (see also JSON), all objects behave as associative arrays with string-valued keys, while the Map and WeakMap types take arbitrary objects as keys. In Lua, they are used as the primitive building block for all data structures. In Visual FoxPro, they are called Collections. The D language also supports associative arrays. [22]

  4. Serialization - Wikipedia

    en.wikipedia.org/wiki/Serialization

    Flow diagram. In computing, serialization (or serialisation, also referred to as pickling in Python) is the process of translating a data structure or object state into a format that can be stored (e.g. files in secondary storage devices, data buffers in primary storage devices) or transmitted (e.g. data streams over computer networks) and reconstructed later (possibly in a different computer ...

  5. Comparison of programming languages (associative array)

    en.wikipedia.org/wiki/Comparison_of_programming...

    A structure represents a value, and one of the structure fields serves as the key. [2] Finally, the GLib library also supports associative arrays, along with many other advanced data types and is the recommended implementation of the GNU Project. [3] Similar to GLib, Apple's cross-platform Core Foundation framework provides several basic data ...

  6. JSON - Wikipedia

    en.wikipedia.org/wiki/JSON

    JSON Schema specifies a JSON-based format to define the structure of JSON data for validation, documentation, and interaction control. It provides a contract for the JSON data required by a given application and how that data can be modified. [ 29 ]

  7. JSONPath - Wikipedia

    en.wikipedia.org/wiki/JSONPath

    JSON Pointer [10] defines a string syntax for identifying a single value within a given JSON value of known structure. 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 ...

  8. Comparison of data-serialization formats - Wikipedia

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

    ^ XML data bindings and SOAP serialization tools provide type-safe XML serialization of programming data structures into XML. Shown are XML values that can be placed in XML elements and attributes. ^ This syntax is not compatible with the Internet-Draft, but is used by some dialects of Lisp.

  9. Extract, transform, load - Wikipedia

    en.wikipedia.org/wiki/Extract,_transform,_load

    Common data-source formats include relational databases, flat-file databases, XML, and JSON, but may also include non-relational database structures such as IBM Information Management System or other data structures such as Virtual Storage Access Method (VSAM) or Indexed Sequential Access Method (ISAM), or even formats fetched from outside ...