Part 8

Classes and objects

In the previous section we worked with lists, tuples, dictionaries and strings. These are all rather special cases in Python programming. Python syntax features a unique, pre-defined method of declaring an object belonging to each of these types:

# Lists are declared with square brackets
my_list = [1,2,3]

# Strings are declared with quotation marks
my_string = "Hi there!"

# Dictionaries are declared with curly brackets
my_dict = {"one": 1, "two:": 2}

# Tuples are declared with parentheses
my_tuple = (1,2,3)

When some other type of object is declared, we need to call a special initialization function called a constructor. Let's have a look at working with fractions through the Fraction class.

# we are using the class Fraction from the module fractions
from fractions import Fraction

# create some new fraactions
half = Fraction(1,2)

third = Fraction(1,3)

another = Fraction(3,11)

# print these out
print(half)
print(third)
print(another)

# Fractions can be added together, for example
print(half + third)
Sample output

1/2 1/3 3/11 5/6

As you can see above, constructor method calls look a little different than the normal method calls we have come across before. For one, they are not attached to any object with the dot notation (as the constructor call is needed to create an object in the first place). The constructor method is also capitalized: half = Fraction(1,2). Let's have a closer look at how objects are constructed by getting familiar with the concept of the class.

A class is the blueprint of an object

We have already used the term class in the material many times. For instance, in the example above we imported the Fraction class from the module fractions. New fraction objects were created by calling the constructor method of the Fraction class.

A class definition contains the structure and functionalities of any object which represents it. That is why classes are sometimes referred to as the blueprints of objects. So, a class definition tells you what kind of data an object contains, and defines also the methods which can be used on the object. Object oriented programmind refers to a programming paradigm where the functionality of the program is tied into the use of classes and objects created based on them.

A single class definition can be used to create multiple objects. As mentioned before, objects are independent. Changes made to one object generally do not affect the other objects representing the same class. Each object has its own unique set of data attributes. It might be helpful to consider this simplification of the class-object relationship:

  • a class defines the variables
  • when an object is created, those variables are assigned values

So, we can use an object of type Fraction to access the numerator and denominator of a fractional number:

from fractions import Fraction

number = Fraction(2,5)

# Print the numerator
print(number.numerator)

# ...and the denominator
print(number.denominator)
Sample output

2 5

The Fraction class definition contains declarations for the variables numerator and denominator. Each object created based on the class has its own specific values assigned to these variables.

Similarly, objects created based on the date class each contain their own unique values for the year, month and day of the date:

from datetime import date

xmas_eve = date(2020, 12, 24)
midsummer = date(2020, 6, 20)

# print only the month attribute of both objects
print(xmas_eve.month)
print(midsummer.month)
Sample output

12 6

The date class definition contains declarations of the year, month and day variables. When a new date object is created based on the class, these variables are assigned values. Each object has its own unique values assigned to these variables.

Functions which work with objects

Passing an object as an argument to a function should be familiar to you by now, as we have done so many times on this course so far. Let's have a look at the following example. Here we have a function which checks if the date object passed as an argument falls on a weekend:

def is_it_weekend(my_date: date):
    weekday = my_date.isoweekday()
    return weekday == 6 or weekday == 7

This function uses the method isoweekday, which is defined in the date class definition, and returns an integer value so that if the date given is a Monday, it returns 1, and if it is a Tuesday, it returns 2, and so forth.

You can use the above function like this:

xmas_eve = date(2020, 12, 24)
midsummer = date(2020, 6, 20)

print(is_it_weekend(xmas_eve))
print(is_it_weekend(midsummer))
Sample output

False True

Methods vs variables

When working with an object of type date you may notice there is a slight difference between how the variables contained in the object are accessed, as opposed to how the methods attached to the objects are used:

my_date = date(2020, 12, 24)

# calling a method
weekday = my_date.isoweekday()

# accessing a variable
my_month = my_date.month

print("The day of the week:", weekday)
print("The month:", my_month)
Sample output

The day of the week: 4 The month: 12

The day of the week the date falls on is available through the method isoweekday:

weekday = my_date.isoweekday()

This is a method call, so there are parentheses after the name of the method. Leaving the parentheses out does not cause an error, but the results are weird:

weekday =  my_date.isoweekday
print("The day of the week:", weekday)
Sample output

The day of the week: <built-in method isoweekday of datetime.date object at 0x10ed66450>

The month of a date object is a variable, so the value attached can be accessed with a reference.

my_month = my_date.month

Notice there are no parentheses here. Adding parentheses would cause an error:

my_month = my_date.month()
Sample output
Traceback (most recent call last): File "", line 1, in TypeError: 'int' object is not callable
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