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  2. Python syntax and semantics - Wikipedia

    en.wikipedia.org/wiki/Python_syntax_and_semantics

    Python sets are very much like mathematical sets, and support operations like set intersection and union. Python also features a frozenset class for immutable sets, see Collection types. Dictionaries (class dict) are mutable mappings tying keys and corresponding values. Python has special syntax to create dictionaries ({key: value})

  3. Associative array - Wikipedia

    en.wikipedia.org/wiki/Associative_array

    The dictionary problem is the classic problem of designing efficient data structures that implement associative arrays. [2] The two major solutions to the dictionary problem are hash tables and search trees .

  4. Property list - Wikipedia

    en.wikipedia.org/wiki/Property_list

    The array, set and dictionary binary types are made up of pointers - the objref and keyref entries - that index into an object table in the file. This means that binary plists can capture the fact that - for example - a separate array and dictionary serialized into a file both have the same data element stored in them.

  5. Hash table - Wikipedia

    en.wikipedia.org/wiki/Hash_table

    In a well-dimensioned hash table, the average time complexity for each lookup is independent of the number of elements stored in the table. Many hash table designs also allow arbitrary insertions and deletions of key–value pairs, at amortized constant average cost per operation. [3] [4] [5] Hashing is an example of a space-time tradeoff.

  6. DICT - Wikipedia

    en.wikipedia.org/wiki/DICT

    DICT is a dictionary network protocol created by the DICT Development Group [1] in 1997, described by RFC 2229. [2] Its goal is to surpass the Webster protocol to allow clients to access a variety of dictionaries via a uniform interface.

  7. CMU Pronouncing Dictionary - Wikipedia

    en.wikipedia.org/wiki/CMU_Pronouncing_Dictionary

    A derived format, directly suitable for speech recognition engines is also available as part of the distribution; this format collapses stress distinctions (typically not used in ASR). The following is a table of phonemes used by CMU Pronouncing Dictionary. [2]

  8. Symbol table - Wikipedia

    en.wikipedia.org/wiki/Symbol_table

    The Python programming language includes extensive support for creating and manipulating symbol tables. [5] Properties that can be queried include whether a given symbol is a free variable or a bound variable , whether it is block scope or global scope , whether it is imported, and what namespace it belongs to.

  9. XDXF - Wikipedia

    en.wikipedia.org/wiki/XDXF

    XDXF (XML Dictionary eXchange Format) is a project to unite all existing open dictionaries and provide both users and developers with a universal XML-based format, convertible from and to other popular formats like Mova, PtkDic, and StarDict.