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Reflection Python

Reflection in Python refers to the ability of a program to inspect and modify its own structure and behavior at runtime. This powerful feature allows developers to dynamically access attributes and methods of objects, classes, and modules. Reflection can be particularly useful for tasks such as debugging, serialization, and implementing design patterns.

In Python, reflection is primarily achieved through built-in functions like getattr(), setattr(), hasattr(), and dir(). For example, getattr(object, name) retrieves the value of the named attribute from the specified object, while setattr(object, name, value) sets the value of the named attribute. The dir() function returns a list of valid attributes for an object, which can help in understanding the object’s structure.

While reflection can enhance flexibility and reduce boilerplate code, it should be used judiciously, as it can lead to code that is harder to read and maintain.

Python Classes

 Python in Plain English

In the last part of the series, we learned about functions in Python. In this part, we will learn about class in Python. Python is an object-oriented programming language, and one of its most…

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Metaprogramming — Python

 Python in Plain English

Metaprogramming — Python Rose goes wild with California wildrose © Diane Khambu Metaclass is a class whose instances are classes. Just like how ordinary class defines the behavior of certain objects,...

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Factory Pattern & Abstraction in Python

 Analytics Vidhya

Python seems a very interesting language, where everything is on your hand. You can write code that works or write beautiful code with the popular and beloved concepts like SOLID, clean code and…

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The Python Secret

 Python in Plain English

What are metaclasses in Python? Metaclasses in Python are a deeply intriguing and advanced feature that allows for customization of class creation. Understanding metaclasses can be complex, but it is ...

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Imputer Class in Python from Scratch

 Towards Data Science

The main focus of this report on laboratory work is demonstrating the understanding of object-oriented programming principles and how to apply them. Every step of the implementation is explained; it…

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Class Instances in Python

 Towards Data Science

Customizing how class instances are represented is a good way to simplify debugging and instance output. In this post, we will discuss how defining ‘__repr__’ and ‘__str__’ methods allows us to…

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Python Object and Class

 Analytics Vidhya

As we know python is a multi-lingual programming language (which means it supports different programming approaches). In this article we will see what are objects and classes and how are they…

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How to Create Abstract Base Classes in Python

 Python in Plain English

Hello guys and welcome to yet another article related to Python classes. Little by little, we are learning more and more about Python class and object-oriented programming in general. In this…

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Advanced Python Programming: Part 2

 Python in Plain English

Photo by Mohammad Rahmani on Unsplash We will be continuing with our series to learn advanced programming in Python, this is the second part of the series, if you haven't read the first part yet, plea...

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Python Basics Study Module

 Python in Plain English

This study guide goes over basic Python concepts such as variables, strings, operators, typecasting, slicing, functions, and more! I have created a module to study some important topics regarding the...

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Classes in Python

 Towards Data Science

Classes allow us to organize data and functions in a way that makes them easy to reuse and extend in the future. In this post, we will discuss the basics of building classes in python. To start…

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Basic of Python — 2 : Classes

 Analytics Vidhya

In previous article we have seen some basic of Python, so you can start learning it by yourself. Today, we will learn about Classes and its members, like constructor, class variable, local variable…

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