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Requests is an HTTP client library for the Python programming language. [2] [3] Requests is one of the most downloaded Python libraries, [2] with over 300 million monthly downloads. [4] It maps the HTTP protocol onto Python's object-oriented semantics. Requests's design has inspired and been copied by HTTP client libraries for other programming ...
It can convert a wide range of complex data structures, including dict, array, numpy ndarray, into JData representations and export the data as JSON or UBJSON files. The BJData Python module, pybj, [4] enabling reading/writing BJData/UBJSON files, is also available on PyPI, Debian/Ubuntu and GitHub.
JSON-LD, a method of encoding linked data using JSON [67] [68] JSON-RPC, a remote procedure call protocol encoded in JSON [69] JsonML, a lightweight markup language used to map between XML and JSON [70] [71] Smile (data interchange format) [72] [73] UBJSON, a binary computer data interchange format imitating JSON, but requiring fewer bytes of ...
Noggit Solr's streaming JSON parser for Java; Yajl – Yet Another JSON Library. YAJL is a small event-driven (SAX-style) JSON parser written in ANSI C, and a small validating JSON generator. ArduinoJson is a C++ library that supports concatenated JSON. GSON JsonStreamParser.java can read concatenated JSON. json-stream is a streaming JSON ...
Beautiful Soup is a Python package for parsing HTML and XML documents, including those with malformed markup. It creates a parse tree for documents that can be used to extract data from HTML, [ 3 ] which is useful for web scraping .
All transfer types are single objects, serialized using JSON. [1] A request is a call to a specific method provided by a remote system. It can contain three members: method - A string with the name of the method to be invoked. Method names that begin with "rpc." are reserved for rpc-internal methods.
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 ...
In addition to supporting JSON for type and protocol definitions, Avro includes experimental [24] support for an alternative interface description language (IDL) syntax known as Avro IDL. Previously known as GenAvro, this format is designed to ease adoption by users familiar with more traditional IDLs and programming languages, with a syntax ...