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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
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 ...
The suggested loading code of JSON ... -- -- JSON.decodeNumbersAsObjects = true-- -- When this is set, numeric JSON data is encoded into Lua in a form ...
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 ...
JSONP, or JSON-P (JSON with Padding), is a historical JavaScript technique for requesting data by loading a <script> element, [1] which is an element intended to load ordinary JavaScript. It was proposed by Bob Ippolito in 2005. [ 2 ]
Extract, transform, load (ETL) is a three-phase computing process where data is extracted from an input source, transformed (including cleaning), and loaded into an output data container. The data can be collected from one or more sources and it can also be output to one or more destinations.
Custom header fields can be added to the request to indicate how the server should fulfill it, [12] and data can be uploaded to the server by providing it in the "send" call. [13] The response can be parsed from the JSON format into a readily usable JavaScript object, or processed gradually as it arrives rather than waiting for the entire text ...
JSON streaming comprises communications protocols to delimit JSON objects built upon lower-level stream-oriented protocols (such as TCP), that ensures individual JSON objects are recognized, when the server and clients use the same one (e.g. implicitly coded in). This is necessary as JSON is a non-concatenative protocol (the concatenation of ...