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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

    Intuitively, partial function application says "if you fix the first argument of the function, you get a function of the remaining arguments". For example, if function div stands for the division operation x/y, then div with the parameter x fixed at 1 (i.e., div 1) is another function: the same as the function inv that returns the ...

  4. Apply - Wikipedia

    en.wikipedia.org/wiki/Apply

    In computer programming, apply applies a function to a list of arguments. Eval and apply are the two interdependent components of the eval-apply cycle, which is the essence of evaluating Lisp, described in SICP. [1] Function application corresponds to beta reduction in lambda calculus.

  5. Parameter (computer programming) - Wikipedia

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

    What is thought of as functions with multiple parameters is usually represented in lambda calculus as a function which takes the first argument, and returns a function which takes the rest of the arguments; this is a transformation known as currying. Some programming languages, like ML and Haskell, follow this scheme.

  6. 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:

  7. 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 ...

  8. Variadic function - Wikipedia

    en.wikipedia.org/wiki/Variadic_function

    The basic variadic facility in C++ is largely identical to that in C. The only difference is in the syntax, where the comma before the ellipsis can be omitted. C++ allows variadic functions without named parameters but provides no way to access those arguments since va_start requires the name of the last fixed argument of the function.

  9. Lambda calculus - Wikipedia

    en.wikipedia.org/wiki/Lambda_calculus

    This method, known as currying, transforms a function that takes multiple arguments into a chain of functions each with a single argument. Function application of the s q u a r e _ s u m {\textstyle \operatorname {square\_sum} } function to the arguments (5, 2), yields at once