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  2. Partial application - Wikipedia

    en.wikipedia.org/wiki/Partial_application

    In Raku, the assuming method creates a new function with fewer parameters. [4] The Python standard library module functools includes the partial function, allowing positional and named argument bindings, returning a new function. [5] In XQuery, an argument placeholder (?) is used for each non-fixed argument in a partial function application. [6]

  3. Currying - Wikipedia

    en.wikipedia.org/wiki/Currying

    Currying provides a way for working with functions that take multiple arguments, and using them in frameworks where functions might take only one argument. For example, some analytical techniques can only be applied to functions with a single argument. Practical functions frequently take more arguments than this.

  4. Apply - Wikipedia

    en.wikipedia.org/wiki/Apply

    Apply is also the name of a special function in many languages, which takes a function and a list, and uses the list as the function's own argument list, as if the function were called with the elements of the list as the arguments.

  5. Multiple dispatch - Wikipedia

    en.wikipedia.org/wiki/Multiple_dispatch

    Multiple dispatch is used much more heavily in Julia, where multiple dispatch was a central design concept from the origin of the language: collecting the same statistics as Muschevici on the average number of methods per generic function, it was found that the Julia standard library uses more than double the amount of overloading than in the ...

  6. Function (computer programming) - Wikipedia

    en.wikipedia.org/wiki/Function_(computer...

    A copy of the argument is passed in and the value computed during the call is copied to the argument on return: Algol, Swift in-out parameters by name: Like a macro – replace the parameters with the unevaluated argument expressions, then evaluate the argument in the context of the caller every time that the callable uses the parameter: Algol ...

  7. 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})

  8. Dynamic dispatch - Wikipedia

    en.wikipedia.org/wiki/Dynamic_dispatch

    The purpose of dynamic dispatch is to defer the selection of an appropriate implementation until the run time type of a parameter (or multiple parameters) is known. Dynamic dispatch is different from late binding (also known as dynamic binding). Name binding associates a name with an operation. A polymorphic operation has several ...

  9. Named parameter - Wikipedia

    en.wikipedia.org/wiki/Named_parameter

    With named parameters, it is usually possible to provide the arguments in any order, since the parameter name attached to each argument identifies its purpose. This reduces the connascence between parts of the program. A few languages support named parameters but still require the arguments to be provided in a specific order.