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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 ...
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.
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
Object-oriented programming uses objects, but not all of the associated techniques and structures are supported directly in languages that claim to support OOP. The features listed below are common among languages considered to be strongly class- and object-oriented (or multi-paradigm with OOP support), with notable exceptions mentioned.
The listed languages are designed with varying degrees of OOP support. Some are highly focused in OOP while others support multiple paradigms including OOP. [ 1 ] For example, C++ is a multi- paradigm language including OOP; [ 2 ] however, it is less object-oriented than other languages such as Python [ 3 ] and Ruby .
Object-oriented Functional Procedural Generic Reflective Other paradigms Standardized; 1C:Enterprise programming language: Application, RAD, business, general, web, mobile: Yes No Yes Yes Yes Yes Object-based, Prototype-based programming No ActionScript: Application, client-side, web Yes Yes Yes Yes No No prototype-based: Yes