Dataclasses are a special feature in Python that help you create classes used mainly for storing data.<\/p>\n\n\n\n
They reduce boilerplate code by automatically generating common methods like:<\/p>\n\n\n\n
__init__()<\/code><\/li>\n\n\n\n__repr__()<\/code><\/li>\n\n\n\n__eq__()<\/code><\/li>\n<\/ul>\n\n\n\nDataclasses were introduced in Python 3.7.<\/p>\n\n\n\n
Why Use Dataclasses?<\/strong><\/h2>\n\n\n\n\n- Less code<\/li>\n\n\n\n
- Cleaner syntax<\/li>\n\n\n\n
- Automatic constructor creation<\/li>\n\n\n\n
- Built-in comparison support<\/li>\n\n\n\n
- Easy to read and maintain<\/li>\n<\/ul>\n\n\n\n
Creating a Dataclass<\/strong><\/h2>\n\n\n\nTo use dataclasses, import the dataclass<\/code> decorator from the dataclasses<\/code> module.<\/p>\n\n\n\nfrom dataclasses import dataclass@dataclass
class Student:
name: str
age: int
marks: floats1 = Student(\"Hira\", 22, 85.5)
print(s1)<\/pre>\n\n\n\nOutput:<\/p>\n\n\n\n
Student(name='Hira', age=22, marks=85.5)<\/pre>\n\n\n\nNotice:<\/p>\n\n\n\n
\n- No need to write
__init__()<\/code><\/li>\n\n\n\n- No need to write
__str__()<\/code><\/li>\n\n\n\n- Everything is automatically created<\/li>\n<\/ul>\n\n\n\n
Equality Comparison<\/strong><\/h2>\n\n\n\nDataclasses automatically support comparison.<\/p>\n\n\n\n
s1 = Student(\"Hira\", 22, 85.5)
s2 = Student(\"Hira\", 22, 85.5)print(s1 == s2)<\/pre>\n\n\n\nOutput:<\/p>\n\n\n\n
True<\/pre>\n\n\n\nDefault Values<\/strong><\/h2>\n\n\n\nYou can provide default values.<\/p>\n\n\n\n
from dataclasses import dataclass@dataclass
class Student:
name: str
age: int = 18<\/pre>\n\n\n\nUsing field() for Advanced Options<\/strong><\/h2>\n\n\n\nThe field()<\/code> function allows customization.<\/p>\n\n\n\nfrom dataclasses import dataclass, field@dataclass
class Student:
name: str
age: int
marks: float = field(default=0.0)<\/pre>\n\n\n\nFrozen Dataclass (Immutable)<\/strong><\/h2>\n\n\n\nTo make objects immutable:<\/p>\n\n\n\n
from dataclasses import dataclass@dataclass(frozen=True)
class Student:
name: str
age: ints1 = Student(\"Hira\", 22)<\/pre>\n\n\n\nNow you cannot modify attributes.<\/p>\n\n\n\n
Dataclass vs Normal Class<\/strong><\/h2>\n\n\n\nNormal Class
You manually write __init__()<\/code>
More code
Manual comparison methods<\/p>\n\n\n\nDataclass
Auto-generated methods
Less code
Built-in comparison<\/p>\n\n\n\n
When to Use Dataclasses<\/strong><\/h2>\n\n\n\n\n- When class is mainly used to store data<\/li>\n\n\n\n
- When you want clean and readable code<\/li>\n\n\n\n
- When you need automatic comparison<\/li>\n<\/ul>\n\n\n\n
Key Takeaway<\/strong><\/h2>\n\n\n\nDataclasses simplify class creation for data storage.<\/p>\n\n\n\n
They automatically generate important methods and make Python code cleaner, shorter, and easier to maintain.<\/p>\n\n\n