Dealing with statics in Python is something that has bitten me enough times that I have become quite pedantic about them when I see them. I'm sure you're thinking "But Dr. Tyler, Python is a dynamic language!", it is indeed, but that does not mean there aren't static variables.
The funny thing about static variables in Python, in my opinion, once you understand a bit about scoping and what you're dealing with, it makes far more sense. Let's take this static class variable for example:
>>> class Foo(object):
... my_list = 
f = Foo() b = Foo()
You're trying to be clever, defining your class variables with their default variables outside of your
__init__ function, understandable, unless you ever intend on mutating that variable.
>>> f.my_list.append('O HAI')
print b.my_list ['O HAI']
Still feeling clever? If that's what you wanted, I bet you do, but if you wanted each class to have its own internal list you've inadvertantly introduced a bug where any and every time something mutates
my_list, it will change for every single instance of
Foo. The reason that this occurs is because
my_list is tied to the class object
Foo and not the instance of the
Foo object (
b). In effect
b.__class__.my_list are the same object, in fact, the
__class__ objects of both those instances is the same as well.
When using default/optional parameters for methods you can also run afoul of statics in Python, for example:
>>> def somefunc(data=):
... print ('data', data)
somefunc() ('data', ) somefunc() ('data', [1, 1]) somefunc() ('data', [1, 1, 1])
This comes down to a scoping issue as well, functions and methods in Python are first-class objects. In this case, you're adding the variable
data to the
somefunc.func_defaults tuple, which is being mutated when the function is being called. Bad programmer!
It all seems simple enough, but I still consistently see these mistakes in plenty of different Python projects (both pony-affiliated, and not). When these bugs strike they're difficult to spot, frustrating to deal with ("who the hell is changing my variable!") and most importantly, easily prevented with a little understanding of how Python scoping works.