@Blair Conrad表示，在类定义中声明的静态变量，而不是在方法中声明的是类或“静态”变量：

>>> class Test(object):
...     i = 3
...
>>> Test.i
3

这里有几家餐厅。从以上示例继续：

>>> t = Test()
>>> t.i     # "static" variable accessed via instance
3
>>> t.i = 5 # but if we assign to the instance ...
>>> Test.i  # we have not changed the "static" variable
3
>>> t.i     # we have overwritten Test.i on t by creating a new attribute t.i
5
>>> Test.i = 6 # to change the "static" variable we do it by assigning to the class
>>> t.i
5
>>> Test.i
6
>>> u = Test()
>>> u.i
6           # changes to t do not affect new instances of Test

# Namespaces are one honking great idea -- let's do more of those!
>>> Test.__dict__
{'i': 6, ...}
>>> t.__dict__
{'i': 5}
>>> u.__dict__
{}

请注意，当直接在t上设置属性i时，实例变量t.i如何与“static”类变量不同步。这是因为我在t命名空间中重新绑定，这与Test命名空间不同。如果要更改“静态”变量的值，必须在其最初定义的范围（或对象）内更改它。我把“static”放在引号里，因为Python实际上没有C++和Java那样的静态变量。

尽管Python教程没有具体说明静态变量或方法，但它提供了一些关于类和类对象的相关信息。

@Steve Johnson还回答了静态方法的问题，也在Python库参考中的“内置函数”中进行了记录。

class Test(object):
    @staticmethod
    def f(arg1, arg2, ...):
        ...

@beid还提到了classmethod，它类似于staticmethod。类方法的第一个参数是类对象。例子：

class Test(object):
    i = 3 # class (or static) variable
    @classmethod
    def g(cls, arg):
        # here we can use 'cls' instead of the class name (Test)
        if arg > cls.i:
            cls.i = arg # would be the same as Test.i = arg1

可以使用静态类变量，但可能不值得这样做。

这里有一个用Python 3编写的概念证明——如果任何确切的细节都是错误的，那么可以对代码进行调整，以匹配静态变量所指的任何内容：

class Static:
    def __init__(self, value, doc=None):
        self.deleted = False
        self.value = value
        self.__doc__ = doc
    def __get__(self, inst, cls=None):
        if self.deleted:
            raise AttributeError('Attribute not set')
        return self.value
    def __set__(self, inst, value):
        self.deleted = False
        self.value = value
    def __delete__(self, inst):
        self.deleted = True

class StaticType(type):
    def __delattr__(cls, name):
        obj = cls.__dict__.get(name)
        if isinstance(obj, Static):
            obj.__delete__(name)
        else:
            super(StaticType, cls).__delattr__(name)
    def __getattribute__(cls, *args):
        obj = super(StaticType, cls).__getattribute__(*args)
        if isinstance(obj, Static):
            obj = obj.__get__(cls, cls.__class__)
        return obj
    def __setattr__(cls, name, val):
        # check if object already exists
        obj = cls.__dict__.get(name)
        if isinstance(obj, Static):
            obj.__set__(name, val)
        else:
            super(StaticType, cls).__setattr__(name, val)

使用中：

class MyStatic(metaclass=StaticType):
    """
    Testing static vars
    """
    a = Static(9)
    b = Static(12)
    c = 3

class YourStatic(MyStatic):
    d = Static('woo hoo')
    e = Static('doo wop')

以及一些测试：

ms1 = MyStatic()
ms2 = MyStatic()
ms3 = MyStatic()
assert ms1.a == ms2.a == ms3.a == MyStatic.a
assert ms1.b == ms2.b == ms3.b == MyStatic.b
assert ms1.c == ms2.c == ms3.c == MyStatic.c
ms1.a = 77
assert ms1.a == ms2.a == ms3.a == MyStatic.a
ms2.b = 99
assert ms1.b == ms2.b == ms3.b == MyStatic.b
MyStatic.a = 101
assert ms1.a == ms2.a == ms3.a == MyStatic.a
MyStatic.b = 139
assert ms1.b == ms2.b == ms3.b == MyStatic.b
del MyStatic.b
for inst in (ms1, ms2, ms3):
    try:
        getattr(inst, 'b')
    except AttributeError:
        pass
    else:
        print('AttributeError not raised on %r' % attr)
ms1.c = 13
ms2.c = 17
ms3.c = 19
assert ms1.c == 13
assert ms2.c == 17
assert ms3.c == 19
MyStatic.c = 43
assert ms1.c == 13
assert ms2.c == 17
assert ms3.c == 19

ys1 = YourStatic()
ys2 = YourStatic()
ys3 = YourStatic()
MyStatic.b = 'burgler'
assert ys1.a == ys2.a == ys3.a == YourStatic.a == MyStatic.a
assert ys1.b == ys2.b == ys3.b == YourStatic.b == MyStatic.b
assert ys1.d == ys2.d == ys3.d == YourStatic.d
assert ys1.e == ys2.e == ys3.e == YourStatic.e
ys1.a = 'blah'
assert ys1.a == ys2.a == ys3.a == YourStatic.a == MyStatic.a
ys2.b = 'kelp'
assert ys1.b == ys2.b == ys3.b == YourStatic.b == MyStatic.b
ys1.d = 'fee'
assert ys1.d == ys2.d == ys3.d == YourStatic.d
ys2.e = 'fie'
assert ys1.e == ys2.e == ys3.e == YourStatic.e
MyStatic.a = 'aargh'
assert ys1.a == ys2.a == ys3.a == YourStatic.a == MyStatic.a

关于Python的属性查找，一个非常有趣的点是它可以用来创建“虚拟变量”：

class A(object):

  label="Amazing"

  def __init__(self,d): 
      self.data=d

  def say(self): 
      print("%s %s!"%(self.label,self.data))

class B(A):
  label="Bold"  # overrides A.label

A(5).say()      # Amazing 5!
B(3).say()      # Bold 3!

通常情况下，在创建它们之后，不会有任何分配给它们。请注意，查找使用self，因为尽管标签在不与特定实例关联的意义上是静态的，但值仍然取决于（的类）实例。

@Blair Conrad表示，在类定义中声明的静态变量，而不是在方法中声明的是类或“静态”变量：

>>> class Test(object):
...     i = 3
...
>>> Test.i
3

这里有几家餐厅。从以上示例继续：

>>> t = Test()
>>> t.i     # "static" variable accessed via instance
3
>>> t.i = 5 # but if we assign to the instance ...
>>> Test.i  # we have not changed the "static" variable
3
>>> t.i     # we have overwritten Test.i on t by creating a new attribute t.i
5
>>> Test.i = 6 # to change the "static" variable we do it by assigning to the class
>>> t.i
5
>>> Test.i
6
>>> u = Test()
>>> u.i
6           # changes to t do not affect new instances of Test

# Namespaces are one honking great idea -- let's do more of those!
>>> Test.__dict__
{'i': 6, ...}
>>> t.__dict__
{'i': 5}
>>> u.__dict__
{}

请注意，当直接在t上设置属性i时，实例变量t.i如何与“static”类变量不同步。这是因为我在t命名空间中重新绑定，这与Test命名空间不同。如果要更改“静态”变量的值，必须在其最初定义的范围（或对象）内更改它。我把“static”放在引号里，因为Python实际上没有C++和Java那样的静态变量。

尽管Python教程没有具体说明静态变量或方法，但它提供了一些关于类和类对象的相关信息。

@Steve Johnson还回答了静态方法的问题，也在Python库参考中的“内置函数”中进行了记录。

class Test(object):
    @staticmethod
    def f(arg1, arg2, ...):
        ...

@beid还提到了classmethod，它类似于staticmethod。类方法的第一个参数是类对象。例子：

class Test(object):
    i = 3 # class (or static) variable
    @classmethod
    def g(cls, arg):
        # here we can use 'cls' instead of the class name (Test)
        if arg > cls.i:
            cls.i = arg # would be the same as Test.i = arg1

您还可以使用元类强制类为静态类。

class StaticClassError(Exception):
    pass


class StaticClass:
    __metaclass__ = abc.ABCMeta

    def __new__(cls, *args, **kw):
        raise StaticClassError("%s is a static class and cannot be initiated."
                                % cls)

class MyClass(StaticClass):
    a = 1
    b = 3

    @staticmethod
    def add(x, y):
        return x+y

然后，每当您意外尝试初始化MyClass时，都会收到StaticClassError。

关于静态财产和实例财产，需要注意一件特殊的事情，如下例所示：

class my_cls:
  my_prop = 0

#static property
print my_cls.my_prop  #--> 0

#assign value to static property
my_cls.my_prop = 1 
print my_cls.my_prop  #--> 1

#access static property thru' instance
my_inst = my_cls()
print my_inst.my_prop #--> 1

#instance property is different from static property 
#after being assigned a value
my_inst.my_prop = 2
print my_cls.my_prop  #--> 1
print my_inst.my_prop #--> 2

这意味着在将值分配给实例属性之前，如果我们试图通过“实例”访问属性，则使用静态值。python类中声明的每个属性在内存中总是有一个静态槽。