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Showing content from https://realpython.com/ref/builtin-functions/setattr/ below:

Python’s Built-in Functions – Real Python

The built-in setattr() function allows you to set the value of an attribute of an object dynamically at runtime using the attribute’s name as a string. This is particularly useful when you don’t know the attribute names in advance:

>>> class Person:
...     def __init__(self, name, age):
...         self.name = name
...         self.age = age
...

>>> jane = Person("Jane", 25)
>>> setattr(jane, "age", 26)
>>> jane.age
26

setattr(object, name, value)

• The setattr() function doesn’t return a fruitful value. Instead, it modifies the input object by setting the specified attribute to the given value.

With a class instance as an argument:

>>> class Car:
...     def __init__(self, make, model):
...         self.make = make
...         self.model = model
...

>>> toyota = Car("Toyota", "Corolla")
>>> setattr(toyota, "year", 2020)
>>> toyota.year
2020

The most common use cases for setattr() include:

• Dynamically setting attributes when the attribute names are determined at runtime
• Modifying attributes of objects in a generic way, such as within a loop
• Implementing frameworks or libraries that require flexible attribute management

Suppose you have a scenario where you need to update multiple attributes of an object based on a dictionary of key-value pairs. You can use setattr() to achieve this dynamically.

>>> class Book:
...     def __init__(self, title, author, year):
...         self.title = title
...         self.author = author
...         self.year = year
...

>>> book = Book("1984", "George Orwell", 1949)
>>> updates = {"title": "Animal Farm", "year": 1945}
>>> for attr, value in updates.items():
...     setattr(book, attr, value)
...
>>> book.title
'Animal Farm'
>>> book.year
1945

In this example, setattr() helps update the book object’s attributes based on the provided dictionary, allowing for flexible and dynamic attribute management.

Tutorial

In this tutorial, you'll learn the basics of working with Python's numerous built-in functions. You'll explore how to use these predefined functions to perform common tasks and operations, such as mathematical calculations, data type conversions, and string manipulations.

basics python

For additional information on related topics, take a look at the following resources:

• Python's Magic Methods: Leverage Their Power in Your Classes (Tutorial)
• Object-Oriented Programming (OOP) in Python (Tutorial)
• Python Classes: The Power of Object-Oriented Programming (Tutorial)
• Python's Built-in Functions: A Complete Exploration (Quiz)
• Python's Magic Methods in Classes (Course)
• Python's Magic Methods: Leverage Their Power in Your Classes (Quiz)
• Intro to Object-Oriented Programming (OOP) in Python (Course)
• Object-Oriented Programming (OOP) in Python (Quiz)
• Class Concepts: Object-Oriented Programming in Python (Course)
• Inheritance and Internals: Object-Oriented Programming in Python (Course)
• Python Classes - The Power of Object-Oriented Programming (Quiz)

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