Python remains one of the most popular programming languages in 2025, celebrated for its simplicity and versatility. A fundamental aspect of Python is its support for object-oriented programming (OOP), which is crucial for organizing and managing complex software systems. This article guides you through implementing classes and objects in Python, focusing on the latest trends and best practices.
In object-oriented programming, a class is a blueprint for creating objects (instances), providing initial values for state (member variables, also called attributes) and implementations of behavior (member functions or methods). An object is an instance of a class.
In Python, you define a class using the class
keyword, followed by the class name and a colon. The class typically contains an __init__
method, known as a constructor, to initialize object attributes.
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class Car: def __init__(self, make, model, year): self.make = make self.model = model self.year = year def display_info(self): return f"{self.year} {self.make} {self.model}" |
To create an object (instance) of the class, you call the class using its name with any required parameters.
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my_car = Car("Tesla", "Model S", 2025) print(my_car.display_info()) |
Use Type Annotations: Enhance code readability and aid in static analysis tools by using type hints.
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class Car: def __init__(self, make: str, model: str, year: int): self.make = make self.model = model self.year = year |
Leverage Dataclasses: For classes primarily used to store data, consider using the dataclasses
module to reduce boilerplate code.
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from dataclasses import dataclass @dataclass class Car: make: str model: str year: int |
Utilize Inheritance and Polymorphism: Maximize code reuse and flexibility by creating subclasses and overriding methods.
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class ElectricCar(Car): def __init__(self, make, model, year, battery_size): super().__init__(make, model, year) self.battery_size = battery_size def display_info(self): return super().display_info() + f" with a {self.battery_size}-kWh battery" |
Enhance your Python programming skills by exploring related topics:
By mastering classes and objects in Python, you can create efficient, reusable, and scalable code structures essential for modern application development.