Classes vs. Functions [closed]

Answer 1

I'm going to break from the herd on this one and provide an alternate point of view:

Never create classes.

Reliance on classes has a significant tendency to cause coders to create bloated and slow code. Classes getting passed around (since they're objects) take a lot more computational power than calling a function and passing a string or two. Proper naming conventions on functions can do pretty much everything creating a class can do, and with only a fraction of the overhead and better code readability.

That doesn't mean you shouldn't learn to understand classes though. If you're coding with others, people will use them all the time and you'll need to know how to juggle those classes. Writing your code to rely on functions means the code will be smaller, faster, and more readable. I've seen huge sites written using only functions that were snappy and quick, and I've seen tiny sites that had minimal functionality that relied heavily on classes and broke constantly. (When you have classes extending classes that contain classes as part of their classes, you know you've lost all semblance of easy maintainability.)

When it comes down to it, all data you're going to want to pass can easily be handled by the existing datatypes.

Classes were created as a mental crutch and provide no actual extra functionality, and the overly-complicated code they have a tendency to create defeats the point of that crutch in the long run.

Answer 2

Never create classes. At least the OOP kind of classes in Python being discussed.

Consider this simplistic class:

class Person(object):
    def __init__(self, id, name, city, account_balance):
        self.id = id
        self.name = name
        self.city = city
        self.account_balance = account_balance

    def adjust_balance(self, offset):
        self.account_balance += offset


if __name__ == "__main__":
    p = Person(123, "bob", "boston", 100.0)
    p.adjust_balance(50.0)
    print("done!: {}".format(p.__dict__))

vs this namedtuple version:

from collections import namedtuple

Person = namedtuple("Person", ["id", "name", "city", "account_balance"])


def adjust_balance(person, offset):
    return person._replace(account_balance=person.account_balance + offset)


if __name__ == "__main__":
    p = Person(123, "bob", "boston", 100.0)
    p = adjust_balance(p, 50.0)
    print("done!: {}".format(p))

The namedtuple approach is better because:

• namedtuples have more concise syntax and standard usage.
• In terms of understanding existing code, namedtuples are basically effortless to understand. Classes are more complex. And classes can get very complex for humans to read.
• namedtuples are immutable. Managing mutable state adds unnecessary complexity.
• class inheritance adds complexity, and hides complexity.

I can't see a single advantage to using OOP classes. Obviously, if you are used to OOP, or you have to interface with code that requires classes like Django.

BTW, most other languages have some record type feature like namedtuples. Scala, for example, has case classes. This logic applies equally there.

Answer 3

Create a function. Functions do specific things, classes are specific things.

Classes often have methods, which are functions that are associated with a particular class, and do things associated with the thing that the class is - but if all you want is to do something, a function is all you need.

Essentially, a class is a way of grouping functions (as methods) and data (as properties) into a logical unit revolving around a certain kind of thing. If you don't need that grouping, there's no need to make a class.

Answer 4

Like what Amber says in her answer: create a function. In fact when you don't have to make classes if you have something like:

class Person(object):
    def __init__(self, arg1, arg2):
        self.arg1 = arg1
        self.arg2 = arg2

    def compute(self, other):
        """ Example of bad class design, don't care about the result """
        return self.arg1 + self.arg2 % other

Here you just have a function encapsulate in a class. This just make the code less readable and less efficient. In fact the function compute can be written just like this:

def compute(arg1, arg2, other):
     return arg1 + arg2 % other

You should use classes only if you have more than 1 function to it and if keep a internal state (with attributes) has sense. Otherwise, if you want to regroup functions, just create a module in a new .py file.

You might look this video (Youtube, about 30min), which explains my point. Jack Diederich shows why classes are evil in that case and why it's such a bad design, especially in things like API.
It's quite a long video but it's a must see.

Answer 5

Before answering your question:

If you do not have a Person class, first you must consider whether you want to create a Person class. Do you plan to reuse the concept of a Person very often? If so, you should create a Person class. (You have access to this data in the form of a passed-in variable and you don't care about being messy and sloppy.)

To answer your question:

You have access to their birthyear, so in that case you likely have a Person class with a someperson.birthdate field. In that case, you have to ask yourself, is someperson.age a value that is reusable?

The answer is yes. We often care about age more than the birthdate, so if the birthdate is a field, age should definitely be a derived field. (A case where we would not do this: if we were calculating values like someperson.chanceIsFemale or someperson.positionToDisplayInGrid or other irrelevant values, we would not extend the Person class; you just ask yourself, "Would another program care about the fields I am thinking of extending the class with?" The answer to that question will determine if you extend the original class, or make a function (or your own class like PersonAnalysisData or something).)

Answer 6

It depends on the scenario. If you only want to compute the age of a person, then use a function since you want to implement a single specific behaviour.

But if you want to create an object, that contains the date of birth of a person (and possibly other data), allows to modify it, then computing the age could be one of many operations related to the person and it would be sensible to use a class instead.

Classes provide a way to merge together some data and related operations. If you have only one operation on the data then using a function and passing the data as argument you will obtain an equivalent behaviour, with less complex code.

Note that a class of the kind:

class A(object):
    def __init__(self, ...):
        #initialize
    def a_single_method(self, ...):
        #do stuff

isn't really a class, it is only a (complicated)function. A legitimate class should always have at least two methods(without counting __init__).