Python Paradigms
Python is a multi-paradigm programming language, which means that it supports several programming paradigms. Some of the main paradigms supported by Python are:
- Imperative programming: This paradigm focuses on telling the computer what to do, step by step. Python supports imperative programming with features such as variables, loops, and control structures.
- Object-oriented programming (OOP): This paradigm is based on the idea of objects and their interactions. Python supports OOP with features such as classes, inheritance, and polymorphism.
- Functional programming: This paradigm is based on the idea of functions as first-class citizens, and it emphasizes the use of pure functions and immutable data. Python supports functional programming with features such as higher-order functions, lambda expressions, and generators.
- Aspect-oriented programming: This paradigm is based on the idea of separating cross-cutting concerns from the main functionality of a program. Python does not have built-in support for aspect-oriented programming, but it can be achieved using libraries or language extensions.
Python’s support for multiple paradigms makes it a versatile and flexible language, and it allows developers to choose the paradigm that best fits their needs.
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