I've just begun playing around with Python's Data Classes, and I would like confirm that I am declaring Class Variables in the proper way.

Using regular python classes

class Employee:

    raise_amount = .05

    def __init__(self, fname, lname, pay):
        self.fname = fname
        self.lname = lname
        self.pay = pay

Using python Data Class

@dataclass
class Employee:
    fname: str
    lname: str
    pay: int
    raise_amount = .05

The class variable I am referring to is raise_amount. Is this a properly declared class variable using Data Classes? Or is there a better way of doing so?

I have tested the data class implementation already and it provides the expected functionality, but I am mainly wondering if my implementation is following best practices.

To create a class variable, annotate the field as a typing.ClassVar or not at all.

from typing import ClassVar

@dataclass
class Foo:
    ivar: float = 0.5
    cvar: ClassVar[float] = 0.5
    nvar = 0.5

foo = Foo()
Foo.ivar, Foo.cvar, Foo.nvar = 1, 1, 1
print(Foo().ivar, Foo().cvar, Foo().nvar)   # 0.5 1 1
print(foo.ivar, foo.cvar, foo.nvar)         # 0.5 1 1

There is a subtle difference in that the unannotated field is completely ignored by @dataclass, whereas the ClassVar field is stored but not converted to an attribute.

---

dataclasses — Data Classes

The member variables [...] are defined using PEP 526 type annotations.

Class variables

One of two places where dataclass() actually inspects the type of a field is to determine if a field is a class variable as defined in PEP 526. It does this by checking if the type of the field is typing.ClassVar. If a field is a ClassVar, it is excluded from consideration as a field and is ignored by the dataclass mechanisms. Such ClassVar pseudo-fields are not returned by the module-level fields() function.