It turns out we have been using objects all along in this class. Python provides us with many built-in objects. Here is some simple code where the first few lines should feel very simple and natural to you.
%%python3 stuff = list() stuff.append('python') stuff.append('chuck') stuff.sort() print (stuff) print (stuff.__getitem__(0)) print (list.__getitem__(stuff,0)) # Code: http://www.py4e.com/code3/party1.py
But instead of focusing on what these lines accomplish, lets look at what is really happening from the point of view of object-oriented programming. Don't worry if the following paragraphs don't make any sense the first time you read them because we have not yet defined all these terms.
The first line is constructing an object of type list, the second and third lines are calling the
append() method, the fourth line is calling the
sort() method, and the fifth line is retrieving the item at position 0.
The sixth line is calling the
__getitem__() method in the
stuff list with a parameter of zero.
The seventh line is an even more verbose way of retrieving the 0th item in the list.
In this code, we care calling the
__getitem__ method in the
list class and passing in the list (
stuff) and the item we want retrieved from the list as parameters.
The last three lines of the program are completely equivalent, but it is more convenient to simply use the square bracket syntax to look up an item at a particular position in a list.
We can take a look into the capabilities of an object by looking at the output of the
>>> stuff = list() >>> dir(stuff) ['__add__', '__class__', '__contains__', '__delattr__', '__delitem__', '__dir__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', '__getitem__', '__gt__', '__hash__', '__iadd__', '__imul__', '__init__', '__iter__', '__le__', '__len__', '__lt__', '__mul__', '__ne__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__reversed__', '__rmul__', '__setattr__', '__setitem__', '__sizeof__', '__str__', '__subclasshook__', 'append', 'clear', 'copy', 'count', 'extend', 'index', 'insert', 'pop', 'remove', 'reverse', 'sort'] >>>
The precise definition of
dir() is that it lists the methods and attributes of a Python object.
The rest of this chapter will define all of the above terms so make sure to come back after you finish the chapter and re-read the above paragraphs to check your understanding.