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Objects and Classes

Overview#

This lesson walks through creating classes in Python. The lesson starts with We Dos for creating a class and instantiating objects from that class. It's followed by a We Do for class and instance variables. It ends with a few partner exercises, then a series of Knowledge Checks.

Learning Objectives#

After this lesson, you will be able to…

  • Define a class.
  • Instantiate an object from a class.
  • Create classes with default instance variables.

Duration#

50 MINUTES

Agenda#

DurationActivity
3 minsWelcome
7 minsClass Overview
15 minsCreating Classes
5 minsClass Variables
17 minsExercises
3 minsSummary

Blueprints#

All cars have things that make them a Car. Although the details might be different, every type of car has the same basics β€” it's off the same blueprint, with the same properties and actions.

  • Property: A shape (could be hatchback or sedan).

  • Property: A color (could be red, black, blue, or silver).

  • Property: Seats (could be between 2 and 5).

  • Action: Can drive.

  • Action: Can park.

  • When we make a car, we can vary the values of these properties. Some cars have economy engines, some have performance engines. Some have four doors, others have two. However, they are all types of Cars.

  • Take particular note of the small "c" versus the big "C"!

  • Can you think of other commonalities of cars β€” get them thinking about an archetypal car.


Introduction: Objects and Classes#

These properties and behaviors can be thought of as variables and functions.

Car blueprint:

  • Properties (variables): shape, color, seats
  • Actions (functions): drive() and park()

An actual car might have:

# **Properties - Variables**:- shape = "hatchback"- color = "red", "black", "blue", or "silver"- seats = 2
# **Actions - Functions:**- drive()- park()- reverse()

Discussion: What might a blueprint for a chair look like?

Talking Points:

  • Every day, we interact with objects like chairs, beverages, cars, other people, etc. These objects have properties that define them and behaviors we can execute to interact with them.

Discussion: Python Classes#

In Python, the concept of blueprints and objects is common. A class is the blueprint for an object. Everything you declare in Python is an object, and it has a class.

Consider the List class β€” every list you make has the same basic concept.

Variables:

  • Elements: What's in the list! E.g., my_list = [element1, element2, element3].

Functions that all lists have:

  • my_list.pop(), my_list.append(), my.list.insert(index)

What behaviors and properties do you think are in the Dictionary class? The Set class?

Talking Points:

  • Similarly, you will hear people say that "everything is an object" in Python. Python is an object-oriented programming language.
  • What this means is that nearly every variable you declare actually has a set of properties and functions that it can use β€” it is an object.
  • Every string, number, list, dictionary, etc. has a set of behaviors and properties that are "baked in" because they are instances of a class.
  • Every list you declare has properties (the values in it) and behaviors β€” functions like append() and pop().
  • In Python, there is a built-in List class, which has the ability to hold values, and built-in list functions like append() and pop(). When you declare a list in Python, you're making your own list object that's a variation of the List class.

Discussion: A Dog Class#

We can make a class for anything! Let's create a Dog class.

The objects might be greyhound, goldenRetriever, corgi, etc.

Think about the Dog blueprint. What variables might our class have? What functions?

Pro tip: When functions are in a class, they are called "methods." They're the same thing!

Pro tip: While objects are named in snake_case, classes are conventionally named in TitleCase.


We Do: Defining Classes#

Follow along! Let's create a new file, Dog.py.

Class definitions are similar to function definitions, but instead of def, we use class.

Let's declare a class for Dog:

class Dog(): # We'll define the class here. # Our dog will have two variables: name and age.

Pro tip: Files are usually named for their class, so the Dog class is in Dog.py.

Talking Points:

  • It's very common in programming to make our own classes to organize data in the ways we want. Python gives us, for example, a string and an integer.
  • What if we want to store a bunch of data where each item contains a string and an integer and a function that prints them out nicely?
  • We can make a class for that, and then each object we make from that class will have that all baked in.

We Do: The __init__ Method#

What first? Every class starts with an __init__ method. It's:

  • Where we define the class' variables.
  • Short for "initialize."
    • "Every time you make an object from this class, do what's in here."

Let's add this:

class Dog:    def __init__(self, name="", age=0):        # Note the optional parameters and defaults.        self.name = name  # All dogs have a name.        self.age = age  # All dogs have an age.

Note: self means "each individual object made from this class." Not every "dog" has the same name!

  • Self is tough! It will make more sense after you start creating objects. Don't spend more than a few minutes on it β€” go back to it when comparing instance versus class variables.

  • Call out the default values, or optional parameters, as we very recently learned them.

  • Method means function!

  • When we make an object, we'll first set its variables.

  • The first argument passed to the __init__ function, self, is required when defining methods for classes. The self argument is a reference to a future instantiation of the class. In other words, self refers to each individual dog.

  • This lets each object made from a class keep references to its own data and function members. Not every "dog" has the same attributes, so we want individual cars to maintain their own attributes.

  • Python allows us to provide default values for parameters in any function we provide. Here, if no name or age values are provided when a Dog is initialized, they will default. To create default values, we assign values to the parameter capacity inside the parentheses. You've seen this!


We Do: Adding a bark_hello() Method#

All dogs have the behavior bark, so let's add that. This is a regular function (method), just inside the class!

class Dog:    def __init__(self, name="", age=0):        # Note the defaults.
        self.name = name  # All dogs have a name.        self.age = age  # All dogs have an age.
    # All dogs have a bark function.    def bark_hello(self):        print("Woof! I am called", self.name, "; I am", self.age, "human-years old.")

We're done defining the class!

  • Note that it takes self! This will be tough to remember. Point out that it matches how the variable was declared.

Aside: Instantiating Objects From Classes#

Now we have a Dog template!

Each dog object we make from this template:

  • Has a name.

  • Has an age.

  • Can bark.

  • Take special note of the lowercase "d!"


We Do: How Do We Make a Dog Object?#

We call our class name like we call a function β€” passing in arguments, which go to the init.

Add this under your class (non-indented!):

# Declare the objects.gracie = Dog("Gracie", 8)spitz = Dog("Spitz", 5)buck = Dog("Buck", 3)
# Test them out!gracie.bark_hello()print("This dog's name is", gracie.name)print("This dog's age is", gracie.age)spitz.bark_hello()buck.bark_hello()

Try it! Run Dog.py like a normal Python file: python Dog.py.

  • Map out that these variables go to __init__ to get created. All arguments go to __init__!
  • You have a working class! Go back through the whole code and make sure you understand.

Talking Points:

  • This will create a new object according to our Dog class specification.
  • Python runs our __init__ method to initialize the object.
  • Here, we are telling our __init__ method to set the name of this dog to 'Gracie' and set her age to 8 years old.
  • Even though self is listed as a parameter for the bark_hello() function, we don't pass it into the function. It happens automatically.

We Do: Adding Print#

__init__ is just a method. It creates variables, but we can also add a print statement! This will run when we create the object.

class Dog:    def __init__(self, name="", age=0):        self.name = name        self.age = age        print(name, "created.")  # Run when init is finished.
    def bark_hello(self):        print("Woof! I am called", self.name, "; I am", self.age, "human-years old.")

fox = Dog("Fox")  #  Note that "Fox created." prints β€” and we're using the default age.fox.bark_hello()

Try it!

  • Run this a few times to show the default variables. Take out the default for name to observe that variables don't need a default value.

Talking Points:

  • Reminder: "Method" is a function in a class.
  • Note that print statements can be anywhere β€” it's not a variable! __init__ is a method.
  • The __init__ method will execute once and only once when you create a new object from a class. Note that the print statement never happens again.

Quick Review: Classes#

A class is a blueprint for an object. Some classes are built into Python, like List. We can always make a list object.

We can make a class for anything!

# Created like a function; TitleCaseclass Dog:
    # __init__: A method (function) that happens just once, when the object is created.    def __init__(self, name="", age=0):  # What's passed in to the class is used here.        # Set variables for each.        self.name = name        self.age = age        print(name, "created.")  # This will run when the __init__ method is called.
    # Classes can have as many methods (functions) as you'd like.    def bark_hello(self):        print("Woof! I am called", self.name, "; I am", self.age, "human-years old.")

fox = Dog("Fox")  # Creating the object calls __init__. Objects are snake_case.print("This dog's name is", fox.name)  # The object now has those variables!fox.bark_hello()  # The object now has those methods and variables!

Teaching Tips:

  • Add your own reasons for why classes are useful.
  • Do a quick check for understanding.
  • Run down the comments in the code like they're bullet points!

Discussion: What About Tea?#

Let's make a TeaCup class.

  • What variables would a cup of tea have?

  • What methods?

  • Discuss suggestions for properties for a Tea class.

  • The exercise has capacity, amount, fill, empty, and drink.


A Potential TeaCup Class#

We could say:

Variables:

  • A total capacity.
  • A current amount.

Methods:

  • fill() our cup.

  • empty() our cup.

  • drink() some tea from our cup.

  • Given a well-defined cup of tea, we can use the class definition to create instances of the class.

  • Each instance of the TeaCup class can have a different capacity and keep track of different amounts.

  • Although different, properties are affected by actions like fill(), empty(), and drink() similarly.


Example: A TeaCup Class#

Here's what a TeaCup class definition might look like in Python:

class TeaCup:    def __init__(self, capacity):        # Python executes when a new cup of tea is created.        self.capacity = capacity  # Total ounces the cup holds.        self.amount = 0  # Current ounces in the cup. All cups start empty!
    def fill(self):        self.amount = self.capacity
    def empty(self):        self.amount = 0
    def drink(self, amount_drank):        self.amount -= amount_drank        # If it's empty, it stays empty!        if self.amount == 0:            self.amount = 0

steves_cup = TeaCup(12)  # Maybe a fancy tea latte.yis_cup = TeaCup(16)  # It's a rough morning!brandis_cup = TeaCup(2)  # Just a quick sip.
  • This class doesn't take in amount! It's set as a variable, but not passed in. Can you explain this?
  • Note that the object declarations have to go below the class. Show the error that occurs if you try calling steves_cup first.
  • Call each function β€” fill(), drink() with a different number for each, and printing the amount left with cup.amount.

Quick Knowledge Check#

class TeaCup():  def __init__(self, capacity = 8):    self.capacity = capacity    self.amount = 0

When will the capacity be 8?

  • Answer: When no capacity is passed in when it's declared.

Variables for All Class Objects#

Next up: new types of class variables!

Let's revisit our Dog class:

class Dog():  def __init__(self, name="", age=0):      self.name = name      self.age = age      print(name, "created.")
  def bark_hello(self):      print("Woof! I am called", self.name, "; I am", self.age, "human-years old")

What if there are variables that we want across all dogs?

For example, can we count how many dog objects we make and track it in the class?

  • Our Dog class had variables attached to self that exist independently for each object that's created.
    • Each object instance has its own copies of these variables, and they can vary across objects.
  • We can attach variables to the class itself so that there's one single thing that exists for an entire class.

I Do: Class vs. Instance Members#

We already have instance variables, which are specific to each dog object (each has its own name!).

A class variable is specific to the class, regardless of the object. It's created above __init__.

class Dog():  ### Here, we define class variables. ###  # These are the same for ALL dogs.  total_dogs = 0
  def __init__(self, name="", age=0):
    ### These are instance variables. ###    self.name = name    self.age = age    print(name, "created.")
  def bark_hello(self):    print("Woof! I am called", self.name, "; I am", self.age, "human-years old")    print("There are", Dog.total_dogs, "dogs in this room!") # There's no "self" β€” we call the Dog class name!
molly = Dog("Molly", 8)molly.bark_hello()
sheera = Dog("Sheera", 5)sheera.bark_hello()

Talking Points:

  • Our Dog class had variables attached to self that exist independently for each object that's created.
    • These are called instance variables.
    • Each object instance has its own copies of these variables, and they can vary across objects.
  • We can attach variables to the class itself so that there's one single thing that exists for an entire class.
    • These are called class variables.

I Do: Tallying Dogs#

We can increment the class variable any time.

class Dog():  total_dogs = 0  def __init__(self, name="", age=0):    self.name = name    self.age = age    Dog.total_dogs += 1 #  We can increment this here!    print(name, "created:")
  def bark_hello(self):    print("Woof! I am called", self.name, "; I am", self.age, "human-years old.")    print("There are", Dog.total_dogs, "dogs in this room!")
molly = Dog("Molly", 8)molly.bark_hello()
sheera = Dog("Sheera", 5)sheera.bark_hello()

Talking Points:

  • We can keep a tally of how many dogs we have running around in our app.
  • We could put a copy of the tally in each dog object, but that's not efficient, as we would be duplicating a value in memory multiple times, and we would have to update the value in every dog object in order to keep it accurate.
  • It's much better if we can store it in the class. That way, each dog object can access it, but we only need to store it and set it in one place.
  • Finally, we create a new dog. The __init__ method increments the total_dogs counter, which is stored in the Dog class itself. We can access the value stored in Dog.total_dogs inside our script, and each dog object can access it from their own functions.

Partner Exercise: Create a Music Genre Class#

Pair up! Create a new file, Band.py.

  • Define a class, Band, with these instance variables: "genre", "band_name", and "albums_released" (defaulting to 0).
  • Give Band a method called print_stats(), which prints a string like "The rock band Queen has 15 albums."
  • Create a class variable, number_of_bands, that tracks the number of bands created.

Test your code with calls like:

my_band = Band("Queen", 15, "rock")

Bonus: If the genre provided isn't "pop", "classical", or "rock", print out "This isn't a genre I know."

5-10 MINUTES

Talking Points:

  • Imagine that you are working with music data of all different types of genres and want to ultimately define three different classes of music (pop, classical, and rock).
  • Things to think about:
    • Starting values for variables should be set in the __init__ method.
    • Class variables are declared inside the class but outside any methods.
    • Instance variables are declared inside the __init__ method.
    • Does your __init__ method need to accept any parameters?

Partner Exercise: Create a BankAccount Class#

Switch drivers! Create a new class (and file), Bank.py.

Bank accounts should:

  • Be created with the accountType property (either "savings" or "checking").
  • Keep track of its current balance, which always starts at 0.
  • Have access to deposit() and withdraw() methods, which take in an integer and update balance accordingly.
  • Have a class-level variable tracking the total amount of money in all accounts, adding or subtracting whenever balance changes.

Bonus: Start each account with an additional overdraftFees property that begins at 0. If a call to withdraw() ends with the balance below 0, then overdraftFees should be incremented by 20.

10 MINUTES

Talking Points:

  • (The same as above.)
  • Things to think about:
    • Starting values for variables should be set in the __init__ method.
    • Class variables are declared inside the class but outside any methods.
    • Instance variables are declared inside the __init__ method.
    • Does your __init__ method need to accept any parameters?

Knowledge Check: Select the Best Answer#

Consider the following class definition for Cat():

class Cat(Animal): def __init__(self, name='Lucky'):  self.name = name  self.fur = short

How would you instantiate a Cat object with the name attribute 'Furball'?

  1. mycat = Cat(name='Furball')
  2. furball = Cat()
  3. mycat = Cat(self, name='Furball')
  4. mycat = Cat.init(name='Furball')

Answer:

  1. The __init__ function is automatically called when creating an object with the Cat(name='Furball') syntax.

Knowledge Check: Select All That Apply#

Which of the following statements are true about the self argument in class definitions?

  • The user does not need to supply self when using instance methods.
  • The self argument is a reference to the instance object.
  • Any variable assigned with self (e.g., self.var) will be shared across instances of the class.
  • With an instance object, obj, entering obj.self.var will provide the value for var for that instance.

Answers:

  1. The user does not need to supply self when using instance methods.
  2. The self argument is a reference to the instance object.

Correct response explanation:

  • self is automatically passed into an instance method when you call it. self refers to the instance and NOT the class. self.var will not be shared between instances. Instances have no explicit self attribute.

Knowledge Check: Select the Best Answer II#

Consider the following code:

class Shape(object):    possible = ["triangle", "square", "circle", "pentagon", "polygon", "rectangle"]
    def __init__(self, label="triangle"):        self.label = label
    def is_possible(self):        if self.label in self.possible:            print("This is possible")        else:            print("This is impossible")

square = Shape(label="square")wormhole = Shape(label="wormhole")square.possible.append("wormhole")

If you were to enter wormhole.is_possible(), would the outcome be "This is possible" or "This is impossible"?

Answer: This is possible

Correct answer explanation:

  • The possible list is defined at the class level as opposed to as an instance variable. When we append the string 'wormhole' to the possible list of the square object, this list is shared with the wormhole instance. Therefore the output will be This is possible.

Summary: Discussion#

Let's chat! Can anyone explain:

  • What a class is?
  • What __init__ does?
  • What an object is?
  • The point of self?
  • The two types of variables?

Summary and Q&A#

Class:

  • A pre-defined structure that contains attributes and behaviors grouped together.
  • The blueprint.
  • Defined via a method call.
  • Contains an __init__ method that takes in parameters to be assigned to an object.
  • E.g., the Dog class; the List class.

Object:

  • An instance of a class structure.
  • The items built from the blueprint.
  • E.g., the gracie object; the my_list object.

Summary: Types of Variables in a Class#

Instance variables:

  • Contain data types declared in the class but defined in each object.
  • Each dog has its own name and age.
  • Each my_list has its own elements.

Class variables:

  • Contain data and actions that span across all objects.
  • How many dog objects are there in total?
  • The self keyword lets us distinguish between variables that exist at the class level versus in each object.