When I was getting started in Python I learned to make classes for tkinter GUI's before I understood how they work. Everything I did with classes worked, but I didn't understand how. Hopefully you'll first learn to understand classes, and then learn to use them.
Python comes with many classes that we know already.
>>> str
<class 'str'>
>>> int
<class 'int'>
>>> list
<class 'list'>
>>> dict
<class 'dict'>
>>>Calling these classes as if they were functions makes a new instance
of them. For example, str() makes a str instance, also known as a
string.
>>> str()
''
>>> int()
0
>>> list()
[]
>>> dict()
{}
>>>We can also get an instance's class with type():
>>> type('')
<class 'str'>
>>> type(0)
<class 'int'>
>>> type([])
<class 'list'>
>>> type({})
<class 'dict'>
>>>Let's say that we make a program that processes data about websites.
With a custom class, we're not limited to str, int and other classes
Python comes with. Instead we can define a Website class, and make
Websites and process information about websites directly. Defining our
own types like this is called object-orientated programming.
In Python, pass does nothing.
>>> pass
>>>Let's use it to define an empty class.
>>> class Website:
... pass
...
>>> Website
<class '__main__.Website'>
>>>The pass is needed here, just like when defining functions that do
nothing.
Note that I named the class Website, not website. This way we know
that it's a class. Built-in classes use lowercase names (like str
instead of Str) because they are faster to type, but use CapsWord
names for your classes.
Now we can make a Website instance by calling the class.
>>> github = Website()
>>> github
<__main__.Website object at 0x7f36e4c456d8>
>>> type(github)
<class '__main__.Website'>
>>>We can say that github is "a Website instance", "a Website
object" or "a Website". All of these mean the same thing.
Now we can attach more information about github to our Website.
>>> github.url = 'https://github.com/'
>>> github.founding_year = 2008
>>> github.free_to_use = True
>>>We can also access the information easily.
>>> github.url
'https://github.com/'
>>> github.founding_year
2008
>>> github.free_to_use
True
>>>As you can see, our Website is mutable, like lists are, not immutable like strings are. We can change the website in-place without creating a new Website.
url, founding_year and free_to_use are not variables, they are
attributes. More specifically, they are instance attributes.
The biggest difference is that we need to use a dot for setting and
getting values of attributes, but we don't need that with variables.
Modules also use instance attributes for accessing their content. For
example, when we do random.randint, random is a module instance and
randint is one of its attributes.
If we make another Website, does it have the same url, founding_year
and free_to_use?
>>> effbot = Website()
>>> effbot.url
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
AttributeError: 'Website' object has no attribute 'url'
>>>It doesn't. We'd need to define the attributes for effbot also.
The attributes are stored in a dictionary called __dict__. It's not
recommended to use it for code that needs to be reliable, but it's a
handy way to see which attributes the instance contains.
>>> github.__dict__
{'free_to_use': True,
'founding_year': 2008,
'url': 'https://github.com/'}
>>> effbot.__dict__
{}
>>>What happens if we set an attribute of the Website class to some value
instead of doing that to an instance?
>>> Website.is_online = True
>>> Website.is_online
True
>>>Seems to be working, but what happened to the instances?
>>> github.is_online
True
>>> effbot.is_online
True
>>>What was that? Setting Website.is_online to a value also set
github.is_online and effbot.is_online to that value!
Actually, is_online is still not in github's or effbot's
__dict__. github and effbot get that attribute directly from
the Website class.
>>> github.__dict__
{'free_to_use': True,
'founding_year': 2008,
'url': 'https://github.com/'}
>>> effbot.__dict__
{}
>>>Website.is_online is Website's class attribute, and in Python you can
access class attributes through instances also, so in this case
github.is_online points to Website.is_online. That can be
confusing, which is why it's not recommended to use class attributes like
this. Use instance attributes instead, e.g. github.is_online = True.
Let's define a function that prints information about a website.
>>> def website_info(website):
... print("URL:", website.url)
... print("Founding year:", website.founding_year)
... print("Free to use:", website.free_to_use)
...
>>> website_info(github)
URL: https://github.com/
Founding year: 2008
Free to use: True
>>>Seems to be working. We should be able to get information about all
websites, so maybe we should attach the website_info function to the
Website class?
>>> Website.info = website_info
>>> Website.info(github)
URL: https://github.com/
Founding year: 2008
Free to use: True
>>>It's working, but Website.info(github) is a lot of typing, so
wouldn't github.info() be much better?
>>> github.info()
URL: https://github.com/
Founding year: 2008
Free to use: True
>>>What the heck happened? We didn't define a github.info, it just
magically worked!
Website.info is our website_info function, so github.info
should also be the same function. But Website.info takes a website
argument, which we didn't give it when we called github.info()!
But is github.info the same thing as Website.info?
>>> Website.info
<function website_info at 0x7f36e4c39598>
>>> github.info
<bound method website_info of <__main__.Website object at 0x7f36e4c456d8>>
>>>It's not.
Instead, github.info is a method. If we set a function as a
class attribute, the instances will have a method with the same name.
Methods are "links" to the class attribute functions. So
Website.info(github) does the same thing as github.info(),
and when github.info() is called it automatically gets
github as an argument.
In other words, Class.method(instance) does the same thing as
instance.method(). This also works with built-in classes, for
example 'hello'.lower() is same as str.lower('hello').
Maybe we could define a method when we make the class instead of adding it later?
>>> class Website:
... def info(self): # self will be github
... print("URL:", self.url)
... print("Founding year:", self.founding_year)
... print("Free to use:", self.free_to_use)
...
>>> github = Website()
>>> github.url = 'https://github.com/'
>>> github.founding_year = 2008
>>> github.free_to_use = True
>>> github.info()
URL: https://github.com/
Founding year: 2008
Free to use: True
>>>It's working. The self argument in Website.info was github.
You could call it something else too such as me, this or instance,
but use self instead. Other Python users have gotten used to it, and
the official style guide recommends it also.
We still need to set url, founding_year and free_to_use manually.
Maybe we could add a method to do that?
>>> class Website:
... def initialize(self, url, founding_year, free_to_use):
... self.url = url
... self.founding_year = founding_year
... self.free_to_use = free_to_use
... def info(self):
... print("URL:", self.url)
... print("Founding year:", self.founding_year)
... print("Free to use:", self.free_to_use)
...
>>> github = Website()
>>> github.initialize('https://github.com/', 2008, True)
>>> github.info()
URL: https://github.com/
Founding year: 2008
Free to use: True
>>>That works. The attributes we defined in the initialize method are also
available in the info method. We could also access them directly from
github, for example with github.url.
But we still need to call github.initialize. In Python, there's
a "magic" method that runs when we create a new Website by calling the
Website class. It's called __init__ and it does nothing by default. If
our __init__ method takes other arguments than self we can call the
class with arguments and they will be given to __init__. Like this:
>>> class Website:
... def __init__(self, url, founding_year, free_to_use):
... self.url = url
... self.founding_year = founding_year
... self.free_to_use = free_to_use
... def info(self):
... print("URL:", self.url)
... print("Founding year:", self.founding_year)
... print("Free to use:", self.free_to_use)
...
>>> github = Website('https://github.com/', 2008, True)
>>> github.info()
URL: https://github.com/
Founding year: 2008
Free to use: True
>>>Classes have many other magic methods too, but I'm not going to cover them in this tutorial.
Don't do this:
class MyProgram:
def __init__(self):
print("Hello!")
word = input("Enter something: ")
print("You entered " + word + ".")
program = MyProgram()You should avoid using things like print and input in the __init__
method. The __init__ method should be simple and it should just set
things up.
Usually you shouldn't use a class if you're only going to make one
instance of it, and you don't need a class either if you're only going
to have one method. In this example MyProgram has only one method and
only one instance.
Make functions instead, or just write your code without any functions if it's short enough for that. This program does the same thing and it's much more readable:
print("Hello!")
word = input("Enter something: ")
print("You entered " + word + ".")- Object-orientated programming is programming with custom data types. In Python that means using classes and instances.
- Use CapsWords for class names and lowercase_words_with_underscores for other names. This makes it easy to see which objects are classes and which objects are instances.
- Calling a class as if it was a function makes a new instance of it.
foo.bar = bazsetsfoo's attributebartobaz.- Use class attributes for functions and instance attributes for other things.
- Functions as class attributes can be accessed as instance methods.
They get their instance as the first argument. Call that
selfwhen you define the method. __init__is a special method, and it's ran when a new instance of a class is created. It does nothing by default.- Don't use classes if your code is easier to read without them.
If you have trouble with this tutorial please tell me about it and I'll make this tutorial better. If you like this tutorial, please give it a star.
You may use this tutorial freely at your own risk. See LICENSE.