类方法用于当您需要不特定于任何特定实例，但仍以某种方式涉及类的方法时。最有趣的是，它们可以被子类覆盖，这在Java的静态方法或Python的模块级函数中是不可能的。

如果你有一个类MyClass，和一个模块级的函数，它操作MyClass(工厂，依赖注入存根等)，让它成为一个类方法。然后它将可用于子类。

替代构造函数是经典的例子。

Think about it this way: normal methods are useful to hide the details of dispatch: you can type myobj.foo() without worrying about whether the foo() method is implemented by the myobj object's class or one of its parent classes. Class methods are exactly analogous to this, but with the class object instead: they let you call MyClass.foo() without having to worry about whether foo() is implemented specially by MyClass because it needed its own specialized version, or whether it is letting its parent class handle the call.

当您在创建实际实例之前进行设置或计算时，类方法是必不可少的，因为在实例存在之前，您显然不能将实例用作方法调用的调度点。在SQLAlchemy源代码中可以看到一个很好的例子;在下面的链接中查看dbapi()类方法:

https://github.com/zzzeek/sqlalchemy/blob/ab6946769742602e40fb9ed9dde5f642885d1906/lib/sqlalchemy/dialects/mssql/pymssql.py#L47

You can see that the dbapi() method, which a database backend uses to import the vendor-specific database library it needs on-demand, is a class method because it needs to run before instances of a particular database connection start getting created — but that it cannot be a simple function or static function, because they want it to be able to call other, supporting methods that might similarly need to be written more specifically in subclasses than in their parent class. And if you dispatch to a function or static class, then you "forget" and lose the knowledge about which class is doing the initializing.

类和对象概念在组织事物时非常有用。的确，方法可以完成的所有操作也可以使用静态函数完成。

设想一个场景，构建一个学生数据库系统来维护学生的详细信息。 你需要了解学生、老师和员工的详细信息。您需要构建计算费用、工资、分数等的函数。费用和分数只适用于学生，工资只适用于员工和教师。因此，如果您为每种类型的人创建单独的类，代码将被组织起来。

类方法用于当您需要不特定于任何特定实例，但仍以某种方式涉及类的方法时。最有趣的是，它们可以被子类覆盖，这在Java的静态方法或Python的模块级函数中是不可能的。

如果你有一个类MyClass，和一个模块级的函数，它操作MyClass(工厂，依赖注入存根等)，让它成为一个类方法。然后它将可用于子类。

@classmethod对于从外部资源轻松实例化该类的对象非常有用。考虑以下几点:

import settings

class SomeClass:
    @classmethod
    def from_settings(cls):
        return cls(settings=settings)

    def __init__(self, settings=None):
        if settings is not None:
            self.x = settings['x']
            self.y = settings['y']

然后在另一个文件中:

from some_package import SomeClass

inst = SomeClass.from_settings()

访问inst.x将得到与settings['x']相同的值。