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  2. Associative array - Wikipedia

    en.wikipedia.org/wiki/Associative_array

    In mathematical terms, an associative array is a function with finite domain. [1] It supports 'lookup', 'remove', and 'insert' operations. 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.

  3. Python syntax and semantics - Wikipedia

    en.wikipedia.org/wiki/Python_syntax_and_semantics

    In Python, functions are first-class objects that can be created and passed around dynamically. Python's limited support for anonymous functions is the lambda construct. An example is the anonymous function which squares its input, called with the argument of 5:

  4. Code refactoring - Wikipedia

    en.wikipedia.org/wiki/Code_refactoring

    This is also applicable to functions. Techniques for improving names and location of code Move method or move field – move to a more appropriate class or source file; Rename method or rename field – changing the name into a new one that better reveals its purpose; Pull up – in object-oriented programming (OOP), move to a superclass

  5. Closure (computer programming) - Wikipedia

    en.wikipedia.org/wiki/Closure_(computer_programming)

    The term closure is often used as a synonym for anonymous function, though strictly, an anonymous function is a function literal without a name, while a closure is an instance of a function, a value, whose non-local variables have been bound either to values or to storage locations (depending on the language; see the lexical environment section below).

  6. Function object - Wikipedia

    en.wikipedia.org/wiki/Function_object

    In Python, functions are first-class objects, just like strings, numbers, lists etc. This feature eliminates the need to write a function object in many cases. Any object with a __call__() method can be called using function-call syntax. An example is this accumulator class (based on Paul Graham's study on programming language syntax and ...

  7. Serialization - Wikipedia

    en.wikipedia.org/wiki/Serialization

    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 ...

  8. Aho–Corasick algorithm - Wikipedia

    en.wikipedia.org/wiki/Aho–Corasick_algorithm

    In this example, we will consider a dictionary consisting of the following words: {a, ab, bab, bc, bca, c, caa}. The graph below is the Aho–Corasick data structure constructed from the specified dictionary, with each row in the table representing a node in the trie, with the column path indicating the (unique) sequence of characters from the root to the node.

  9. Virtual function - Wikipedia

    en.wikipedia.org/wiki/Virtual_function

    As an example, an abstract base class MathSymbol may provide a pure virtual function doOperation(), and derived classes Plus and Minus implement doOperation() to provide concrete implementations. Implementing doOperation() would not make sense in the MathSymbol class, as MathSymbol is an abstract concept whose behaviour is defined solely for ...