performance - How much slower python classes are compared to their equivalent functions?

Question

When I started learning Python, I created a few applications just using functions and procedural code. However, now I know classes and realized that the code can be much readable (and subjectively easier to understand) if I rewrite it with classes.

How much slower the equivalent classes may get compared to the functions in general? Will the initializer, methods in the classes make any considerable difference in speed?

Answer 1

To answer the question: yes, it is likely to be a little slower, all else being equal. Some things that used to be variables (including functions) are now going to be object attributes, and self.foo is always going to be slightly slower than foo regardless of whether foo was a global or local originally. (Local variables are accessed by index, and globals by name, but an attribute lookup on an object is either a local or a global lookup, plus an additional lookup by name for the attribute, possibly in multiple places.) Calling a method is also slightly slower than calling a function -- not only is it slower to get the attribute, it is also slower to make the call, because a method is a wrapper object that calls the function you wrote, adding an extra function call overhead.

Will this be noticeable? Usually not. In rare cases it might be, say if you are accessing an object attribute a lot (thousands or millions of times) in a particular method. But in that case you can just assign self.foo to a local variable foo at the top of the method, and reference it by the local name throughout, to regain 99.44% of the local variable's performance advantage.

Beyond that there will be some overhead for allocating memory for instances that you probably didn't have before, but unless you are constantly creating and destroying instances, this is likely a one-time cost.

In short: there will be a likely-minor performance hit, and where the performance hit is more than minor, it is easy to mitigate. On the other hand, you could save hours in writing and maintaining the code, assuming your problem lends itself to an object-oriented solution. And saving time is likely why you're using a language like Python to begin with.