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This makes it attractive in situations where the associated data is small (e.g. a few bits) compared to the keys because we can save a lot by reducing the space used by keys. To give a simple example suppose video game names annotated with a boolean indicating whether the game contains a dog that can be petted are given. A static function built ...
Fluidinfo, formerly named FluidDB until early 2011, is an online cloud data store based on an attribute-value centric data model. [1] Fluidinfo is written in Python and characterized by a publicly writeable schema-less database that provides a query language, a fine-grained permissions model and promotes data sharing, both publicly and in groups. [2]
A name–value pair, also called an attribute–value pair, key–value pair, or field–value pair, is a fundamental data representation in computing systems and applications. Designers often desire an open-ended data structure that allows for future extension without modifying existing code or data.
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).
GraphQL: an open-source data query and manipulation language for APIs. Dgraph implements modified GraphQL language called DQL (formerly GraphQL+-) Gremlin: a graph programming language that is a part of Apache TinkerPop open-source project [49] SPARQL: a query language for RDF databases that can retrieve and manipulate data stored in RDF format
Python's tuple assignment, fully available in its foreach loop, also makes it trivial to iterate on (key, value) pairs in dictionaries: for key , value in some_dict . items (): # Direct iteration on a dict iterates on its keys # Do stuff
There is a variable defined to hold the currently assigned low value and it is assigned the value of the maximum low value plus 1 (one). The steps are: If the currently assigned low value is greater or equal than the maximum low value then call a function to fetch a new high value and reset the currently assigned low value to 0 (zero).
When an advance is needed without data access (i.e. to skip a given data element), the access is nonetheless performed, though the returned value is ignored in this case. For collection types that support it, the remove() method of the iterator removes the most recently visited element from the container while keeping the iterator usable.