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it can parse its JSON inputs using a so-called "streaming parser" that produces a stream of [path, value] arrays for all "leaf" paths. The "streaming parser" is particularly useful when one of more of the JSON inputs is too large to fit into memory, since its memory requirements are typically quite small.
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 ...
json: handles conversion between JSON documents and Python objects os: functions for filesystem access and basic operating system functions re: implements regular expression matching operations select: functions for handling events on multiple streams socket: connecting to sockets (networks), providing access to socket interface struct
JSON5 ("JSON5 Data Interchange Format") is an extension of JSON syntax that, just like JSON, is also valid JavaScript syntax. The specification was started in 2012 and finished in 2018 with version 1.0.0. [62] The main differences to JSON syntax are: Optional trailing commas; Unquoted object keys; Single quoted and multiline strings
Features of Sublime Text [4] include quick navigation to symbols, lines, or project files, [5] a "command palette" with adaptive matching for quick keyboard invocation of frequently used commands, simultaneous editing, Python-based API for plugins, project- and syntax-specific preferences, extensive customizability via JSON settings files, including project-specific and platform-specific ...
Concatenated JSON works with pretty-printed JSON but requires more effort and complexity to parse. It doesn't work well with traditional line-oriented tools. Concatenated JSON streaming is a superset of line-delimited JSON streaming. Length-prefixed JSON works with pretty-printed JSON.
Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. [33] Python is dynamically type-checked and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional ...
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 ...