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  2. Delegation (object-oriented programming) - Wikipedia

    en.wikipedia.org/wiki/Delegation_(object...

    Delegation is dependent upon dynamic binding, as it requires that a given method call can invoke different segments of code at runtime [citation needed]. It is used throughout macOS (and its predecessor NeXTStep ) as a means of customizing the behavior of program components. [ 3 ]

  3. 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 ...

  4. Object-oriented programming - Wikipedia

    en.wikipedia.org/wiki/Object-oriented_programming

    Object-oriented programming (OOP) is a programming paradigm based on the concept of objects, [1] which can contain data and code: data in the form of fields (often known as attributes or properties), and code in the form of procedures (often known as methods).

  5. Late binding - Wikipedia

    en.wikipedia.org/wiki/Late_binding

    In computing, late binding or dynamic linkage [1] —though not an identical process to dynamically linking imported code libraries—is a computer programming mechanism in which the method being called upon an object, or the function being called with arguments, is looked up by name at runtime.

  6. Name binding - Wikipedia

    en.wikipedia.org/wiki/Name_binding

    Dynamic binding (or late binding or virtual binding) is name binding performed as the program is running. [2] An example of a static binding is a direct C function call: the function referenced by the identifier cannot change at runtime. An example of dynamic binding is dynamic dispatch, as in a C++ virtual method call.

  7. Python syntax and semantics - Wikipedia

    en.wikipedia.org/wiki/Python_syntax_and_semantics

    Python supports most object oriented programming (OOP) techniques. It allows polymorphism, not only within a class hierarchy but also by duck typing. Any object can be used for any type, and it will work so long as it has the proper methods and attributes. And everything in Python is an object, including classes, functions, numbers and modules.

  8. Python (programming language) - Wikipedia

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

    Python uses dynamic typing and a combination of reference counting and a cycle-detecting garbage collector for memory management. [77] It uses dynamic name resolution (late binding), which binds method and variable names during program execution. Its design offers some support for functional programming in the Lisp tradition.

  9. 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]