An In-Depth Guide to Python’s dataclass in 2024

A Comprehensive Overview of Python’s Dataclass in 2024

Hello folks, Today we will learn “An In-Depth Guide to Python’s dataclass in 2024”.

Python’s dataclass module. introduced in Python 3.7, has revolutionized the way developers handle data structure. This guide will delve into Python data class's intricacies, showcasing their syntax, benefits, and real-world applications.

What is Python Dataclass?

A dataclass is a decorator that automatically generates special methods like __init__() , __repr__() and __eq__() for classes. This simplifies the creation of classes primarily used to store data, reducing boilerplate code and enhancing readability.

Basic Syntax

To define a dataclass, you see the @dataclass decorator from the dataclass module. Here’s a simple example.

from dataclasses import dataclass

@dataclass
class Employee:
    name: str
    location: str
    year: int

def main():
    employee1 = Employee("John", "New York", 2019)
    print(employee1)

if __name__ == '__main__':
    main()

# output
# Employee(name='John', location='New York', year=2019)

In this example, the Employee the class automatically gets as __init__() a __repr__() and also __eq__() method.