# I'm a comment. """ I'm also a comment. """ "I'm a comment too!" 87_104_121_32_97_109_32_73_32_97_32_99_111_109_109_101_110_116_63 ["I'm", "also", "a", "comment", ("surprisingly.",)]
Only one of these “comments” is a real one.
Well, technically speaking all of them are comments, the real difference between them is speed and functionality.
Let's generate some code to find out what the actual differences between them are.
from time import time # style comments real_comments_code = "" "string literal style comments" fake_comments_code = "" for comment_id in range(500000): comment = "I'm comment number %i" % comment_id real_comments_code += "# %s\n" % comment fake_comments_code += '"%s"\n' % comment start_time = time() compile(real_comments_code, "<string>", "exec") print("Real comments took: %s" % (time() - start_time)) start_time = time() compile(fake_comments_code, "<string>", "exec") print("Fake comments took: %s" % (time() - start_time))
Real comments took: 0.08859992027282715 Fake comments took: 1.4969751834869385
The “#” comment variant is clearly favorable over the isolated string literal one in this completely unrealistic scenario, so if you ever wanted to include 500000 comments in your code, they are clearly the way to go.
But what's actually happening here, and because this is Python, can we somehow abuse this behavior? Let's examine the AST of our two automatically generated programs to find out.
Module Expr Str Expr Str Expr Str Expr Str Expr Str ...
Real comments are simply left out of the final Python AST, just as one would expect. That's exactly where the speed difference is taking place, string literals still need to be evaluated on program runtime and you should never abuse them for comments. But that doesn't mean that they are useless.
def documented_function(): # I'm __doc__ "No, I'm __doc__!" """ Shut up you two, I'm the real __doc__ here! (well, maybe not) """ print("I'm a documented function.") print(documented_function.__doc__)
A docstring is a string literal that occurs as the first statement in a module, function, class, or method definition. Such a docstring becomes the doc special attribute of that object.
Python not only supports isolated strings literals, it essentially supports isolated anything. What's interesting here is, that all statements are evaluated. In combination with properties this behavior allows for some very “Ruby-esque” code.
class ClassWithProperty: def __init__(self, lazy=True): self._instance_property = None if not lazy: self.instance_property @property def instance_property(self): if self._instance_property == None: print("Working hard, but I'm still lazy.") self._instance_property = "I was born lazy." return self._instance_property ClassWithProperty(lazy=False) ClassWithProperty()
In conclusion: Don’t abuse the language (well, a little can’t hurt, right?)