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C, C#, Go, Java, JavaScript, Python, Rust — Java serialization Oracle Corporation — Yes Java Object Serialization: Yes No Yes No Yes — JSON: Douglas Crockford: JavaScript syntax: Yes STD 90/RFC 8259 (ancillary: RFC 6901, RFC 6902), ECMA-404, ISO/IEC 21778:2017: No, but see BSON, Smile, UBJSON: Yes
FlatBuffers can be used in software written in C++, C#, C, Go, Java, JavaScript, Kotlin, Lobster, Lua, PHP, Python, Rust, Swift, and TypeScript. The schema compiler runs on Android , Microsoft Windows , macOS , and Linux , [ 3 ] but games and other programs use FlatBuffers for serialization work on many other operating systems as well ...
RDFLib is a Python library for working with RDF, [2] a simple yet powerful language for representing information. This library contains parsers/serializers for almost all of the known RDF serializations, such as RDF/XML, Turtle, N-Triples, & JSON-LD, many of which are now supported in their updated form (e.g. Turtle 1.1).
The format makes no distinction between integer and floating-point. JavaScript uses IEEE-754 double-precision floating-point format for all its numeric values (later also supporting BigInt [19]), but other languages implementing JSON may encode numbers differently. String: a sequence of zero or more Unicode characters.
Zorba is usable through different host languages: C++, C, XQJ / Java, PHP, Python, C#, Ruby, and even XQuery/JSONiq. Zorba is also available as a command-line tool. XQDT is an XQuery plugin for the Eclipse (IDE). It fully supports Zorba API and syntax.
The Python programming language has a builtin plistlib module to read and write plist files, in Apple's XML or in binary (since Python 3.4). [28] ProperTree is a cross-platform editor that makes use of this library.
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 ...
It uses JSON for defining data types and protocols, and serializes data in a compact binary format. Its primary use is in Apache Hadoop , where it can provide both a serialization format for persistent data , and a wire format for communication between Hadoop nodes , and from client programs to the Hadoop services .