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Many tools can process the exported XML. If you process a large number of pages (for instance a whole dump) you probably won't be able to get the document in main memory so you will need a parser based on SAX or other event-driven methods. You can also use regular expressions to directly process parts of the XML code.
Dumps are produced for a specific set of namespaces and wikis, and then made available for public download. Each dump output file consists of a tar.gz archive which, when uncompressed and untarred, contains one file, with a single line per article, in json format. [Project's main homepage]
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.
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 ...
OpenML: [493] Web platform with Python, R, Java, and other APIs for downloading hundreds of machine learning datasets, evaluating algorithms on datasets, and benchmarking algorithm performance against dozens of other algorithms.
PyCharm – Cross-platform Python IDE with code inspections available for analyzing code on-the-fly in the editor and bulk analysis of the whole project. PyDev – Eclipse-based Python IDE with code analysis available on-the-fly in the editor or at save time. Pylint – Static code analyzer. Quite stringent; includes many stylistic warnings as ...
The decorator pattern is a design pattern used in statically-typed object-oriented programming languages to allow functionality to be added to objects at run time; Python decorators add functionality to functions and methods at definition time, and thus are a higher-level construct than decorator-pattern classes.
An object's virtual method table will contain the addresses of the object's dynamically bound methods. Method calls are performed by fetching the method's address from the object's virtual method table. The virtual method table is the same for all objects belonging to the same class, and is therefore typically shared between them.