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  2. 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:

  3. Multiple dispatch - Wikipedia

    en.wikipedia.org/wiki/Multiple_dispatch

    Multiple dispatch or multimethods is a feature of some programming languages in which a function or method can be dynamically dispatched based on the run-time (dynamic) type or, in the more general case, some other attribute of more than one of its arguments. [1]

  4. Anonymous function - Wikipedia

    en.wikipedia.org/wiki/Anonymous_function

    The use of anonymous functions is a matter of style. Using them is never the only way to solve a problem; each anonymous function could instead be defined as a named function and called by name. Anonymous functions often provide a briefer notation than defining named functions.

  5. Python (programming language) - Wikipedia

    en.wikipedia.org/wiki/Python_(programming_language)

    Python's developers aim for it to be fun to use. This is reflected in its name—a tribute to the British comedy group Monty Python [89] —and in occasionally playful approaches to tutorials and reference materials, such as the use of the terms "spam" and "eggs" (a reference to a Monty Python sketch) in examples, instead of the often-used "foo ...

  6. Argument-dependent name lookup - Wikipedia

    en.wikipedia.org/wiki/Argument-dependent_name_lookup

    In the C++ programming language, argument-dependent lookup (ADL), or argument-dependent name lookup, [1] applies to the lookup of an unqualified function name depending on the types of the arguments given to the function call. This behavior is also known as Koenig lookup, as it is often attributed to Andrew Koenig, though he is not its inventor ...

  7. Name mangling - Wikipedia

    en.wikipedia.org/wiki/Name_mangling

    In the stdcall and fastcall mangling schemes, the function is encoded as _name@X and @name@X respectively, where X is the number of bytes, in decimal, of the argument(s) in the parameter list (including those passed in registers, for fastcall). In the case of cdecl, the function name is merely prefixed by an underscore.

  8. Approximate string matching - Wikipedia

    en.wikipedia.org/wiki/Approximate_string_matching

    Different approximate matchers impose different constraints. Some matchers use a single global unweighted cost, that is, the total number of primitive operations necessary to convert the match to the pattern. For example, if the pattern is coil, foil differs by one substitution, coils by one insertion, oil by one deletion, and foal by two ...

  9. Pattern matching - Wikipedia

    en.wikipedia.org/wiki/Pattern_matching

    The creations of these functions can be automated by Haskell's data record syntax. This OCaml example which defines a red–black tree and a function to re-balance it after element insertion shows how to match on a more complex structure generated by a recursive data type. The compiler verifies at compile-time that the list of cases is ...