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Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. [33] Python is dynamically type-checked and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional ...
This is a list of notable programming languages with features designed for object-oriented programming (OOP). The listed languages are designed with varying degrees of OOP support. Some are highly focused in OOP while others support multiple paradigms including OOP.
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.
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).
This comparison of programming languages compares how object-oriented programming languages such as C++, Java, Smalltalk, Object Pascal, Perl, Python, and others manipulate data structures. Object construction and destruction
R (array, interpreted, impure, interactive mode, list-based, object-oriented prototype-based, scripting) Racket (functional, imperative, object-oriented (class-based) and can be extended by the user) Raku (concurrent, concatenative, functional, metaprogramming generic, imperative, reflection object-oriented, pipelines, reactive, and via ...
A language that also supports inheritance or subtyping is classified as object-oriented. [1] Even though object-oriented seems like a superset of object-based, they are used as mutually exclusive alternatives, rather than overlapping. [citation needed] Examples of strictly object-based languages – supporting an object feature but not ...
Python 2.2 was released in December 2001; [23] a major innovation was the unification of Python's types (types written in C) and classes (types written in Python) into one hierarchy. This single unification made Python's object model purely and consistently object oriented. [24] Also added were generators which were inspired by Icon. [25]