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  2. Futures and promises - Wikipedia

    en.wikipedia.org/wiki/Futures_and_promises

    In other cases a future and a promise are created together and associated with each other: the future is the value, the promise is the function that sets the value – essentially the return value (future) of an asynchronous function (promise). Setting the value of a future is also called resolving, fulfilling, or binding it.

  3. Callback (computer programming) - Wikipedia

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

    Notably, the delivery need not be made by the clerk who took the order. A callback need not be called by the function that accepted the callback as a parameter. Also, the delivery need not be made directly to the customer. A callback need not be to the calling function. In fact, a function would generally not pass itself as a callback.

  4. Async/await - Wikipedia

    en.wikipedia.org/wiki/Async/await

    A function using async/await can use as many await expressions as it wants, and each will be handled in the same way (though a promise will only be returned to the caller for the first await, while every other await will utilize internal callbacks). A function can also hold a promise object directly and do other processing first (including ...

  5. Continuation-passing style - Wikipedia

    en.wikipedia.org/wiki/Continuation-passing_style

    A function written in continuation-passing style takes an extra argument: an explicit "continuation"; i.e., a function of one argument. When the CPS function has computed its result value, it "returns" it by calling the continuation function with this value as the argument.

  6. ReactiveX - Wikipedia

    en.wikipedia.org/wiki/ReactiveX

    ReactiveX (Rx, also known as Reactive Extensions) is a software library originally created by Microsoft that allows imperative programming languages to operate on sequences of data regardless of whether the data is synchronous or asynchronous.

  7. 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 ...

  8. Active object - Wikipedia

    en.wikipedia.org/wiki/Active_object

    An example of active object pattern in Java. [4] Firstly we can see a standard class that provides two methods that set a double to be a certain value. This class does NOT conform to the active object pattern.

  9. Function pointer - Wikipedia

    en.wikipedia.org/wiki/Function_pointer

    Function pointers allow different code to be executed at runtime. They can also be passed to a function to enable callbacks. Function pointers are supported by third-generation programming languages (such as PL/I, COBOL, Fortran, [1] dBASE dBL [clarification needed], and C) and object-oriented programming languages (such as C++, C#, and D). [2]