Create a Class

What Classes Do

We often create many objects of the same type, like a series of whole numbers or several string values. Classes allow us to do this in an efficient way.

Think of classes like cookie cutters. They provide the structure for making multiple examples of the same data type, and they make sure each object can execute the same methods. We reuse a class every time we need to generate a new object.


Although classes create new objects, the objects themselves will NOT be exactly the same. For example, all string values have a length, but the value for the length depends on the number of characters in each string.

Objects of the same type have the same property names and methods. However, the values of the properties can differ.

Think of this like using the same cookie cutter to make sugar cookies vs. gingerbread cookies. Each cookie will have ingredients and flavor properties, but these will have completely different values depending on the recipe.

Let’s revisit the dog object we used earlier to see how it relates to a class.

Figure showing how classes relate to objects.

Classes let us create multiple, similar objects.

Each object contains the same property names, and each one can execute the same set of methods. The three objects all belong to the same class, even though their property values differ.

Design a New Class

Before we create a new class, we should begin by describing the objects that belong in that class. Take time to think about the properties and methods we want each object to have. Sometimes it helps to jot them down so you can sort our overall viability, functionality, usefulness, and any possible redundancies. Taking a few minutes to organize your thoughts can help you build better classes.

Another take away from planning out your classes before diving straigth ahead into code, is that you can identify the minimal properties and methods needed for basic functionality. We call this creating a minimum viable product, or MVP. A minumum viable product is a working program or product that is sustained by the smallest codebase possible. This is also the same idea as the “KISS Principle

This can be a great place to start. When working with MVPs, you are creating a codebase that is easier to debug as you expand it. This can all help you pare down your code to what is really vital and what can be added or modified later.

Try It!

Let’s say we want to create a set of cat objects. Take a moment to think about the properties the objects should have. We should be able to use these properties to describe each cat.

  1. The values of the properties will allow us to tell the difference between animals, but for now just focus on coming up with a set of property names. We are already planning to use name and age. Think of at least two more property names to add to your class.

In the design phase, we want to include as many property names as we can.

When we start coding, we should keep things simple and build something small that works. We won’t include all of our ideas right away.

Once we have working code, we can always update it later to make the class more powerful.

Now let’s convert our thoughts into code.

Define the New Class

To define a new class, begin with the class keyword, followed by the name of the class. The general syntax is:

class ClassName:
   # Class code...

Note that class definitions do NOT include parentheses, ().

Just like with variable and function names, Python coders follow a set of rules and recommendations when defining a new class.

  1. Class names begin with a capital letter, followed by lowercase letters. For example, Cat.

  2. For class names that contain more than one word, begin each new word with a capital letter. Do not use underscores to separate the words. For example, CoolCat. (FYI: This style is called UpperCamelCase).

  3. If the class name contains an abbreviation, use capital letters for that abbreviation. For example, OSUBuckeyes.

Setting Property Values

Each new object contains a set of property values. To assign these values, our class must include an initializer method called the constructor. This method is defined like any other function, but it always gets the special name __init__ (two underscores, then the letters, then two more underscores).

The constructor is special because it stores all of the required properties for your class. Like any other function, it has parameters that will later be filled with specific arguments when you create new objects. This feature of classes makes them reusable and can keep your code DRY.

Let’s see how this works:

For our Cat class, this looks like:

class Cat:
   def __init__(self):
      # Assignment statements based on the properties you designed...

The constructor automatically runs whenever we call a class, and it assigns values to each property name.

The self parameter requires some explanation, and we will use an example to help set up that discussion.

Try It!

Use the instructions and editor below to complete the constructor:

class Cat:
   def __init__(self):
      # Assign values for the object properties: = 'Coach'
  1. To assign a value to a property, the syntax is:

    self.property_name = property_value

    On line 4, = 'Coach' assigns the value 'Coach' to the property called name.

  2. On line 5, add the statement self.age = 2 to assign the integer 2 to the property called age. Be sure to indent the statement to match line 5. This puts self.age = 2 inside the constructor code block.

  3. Pick one of the properties you listed earlier on this page. On line 6, assign a value to that property.

  4. Paste the following code on lines 8 and 9. To keep the statements outside of the class, do NOT indent them.

    cat_1 = Cat()
    print(, cat_1.age)
  5. Line 8 creates a new object called cat_1, and line 9 prints two of its properties. Run the program to check your work. Properly done, the output should be:

    Coach 2
  6. Modify line 9 to print all three property values.

  7. Finally, create another object called cat_2 and print out its property values.

Lets step through the final code:

  1. On line 8, Cat() calls the class to create a new object.

  2. Control moves to line 1, and the class statements execute.

  3. The constructor’s __init__ method runs, and it assigns values to each of the properties included in the code block. This is where self plays a role.

  4. When we call a class, self takes on the name of the new object. When cat_1 = Cat() executes, self gets assigned the value cat_1. So:

    • = 'Coach' evaluates as = 'Coach'

    • self.age = 2 evaluates as cat_1.age = 2

    • etc.

  5. After the constructor finishes, control passes back to line 8, and the new object is assigned to the variable cat_1.

  6. In this Try It example, the constructor causes every new Cat object to start with a name of 'Coach', an age of 2, and the third property you defined. This is an example of a default constructor.

The program creates two cat objects, cat_1 and cat_2, that have the same property values. Are the two objects the same? To answer this question, add the statement print(cat_1 == cat_2) to the bottom of the code and run the program again. Is the output True or False?


Think of cat_1 and cat_2 like twins. Even though they have identical properties, they still represent separate animals. They might look and behave exactly the same, but they are different objects!

Use Parameters with the constructor

Once we create cat_1 and cat_2, we can easily change the values for the name and age properties. = "Garfield"

However, it would be better if we could assign these values when the objects are first created. Instead of giving every new Cat object the same name and age, we want to let these values vary from object to object.

We do this by providing parameters to the constructor’s __init__ method.

class Cat:
   def __init__(self, a_name, an_age): = a_name
      self.age = an_age
  1. Modify the code in the editor above to match this format. Leave the third property assignment alone for now.

  2. Run the program again. The statement cat_1 = Cat() should now throw an error. By adding parameters to the constructor, Python expects values to be included when we call the class, but we did not provide any.

  3. Add arguments for a name and an age in the statement. For example, cat_1 = Cat('Nala', 4). Do the same for cat_2, but use different values.

  4. Run the program and fix any remaining bugs. Try changing the arguments you send to the class when creating a new object. How do those changes affect the output?

  5. Next, follow a similar process for the third property. Define a parameter and include an argument when you call the class.

Check Your Understanding

The questions below refer to a class called Car.

class Car:
   def __init__(make, model, year, color, mpg):
      self.make = make
      self.model = model
      self.year = year
      self.color = color
      self.mpg = mpg


If we call the class with my_car = Car('Chevy', 'Astro', 1985, 'gray', 20), what is output by print(my_car.model)?

  1. my_car

  2. Chevy

  3. Astro

  4. 1985


If we create another object called other_car with the exact same property values, what is the result of the expressions my_car == other_car and my_car.year == other_car.year?

  1. True/True

  2. False/True

  3. True/False

  4. False/False


What happens if we call the class with my_car = Car('Tesla', 'Model S', 2020, 'blue')?

  1. The mpg property is assigned a value of 0.

  2. The mpg property is assigned the empty string.

  3. The mpg property is not added to the my_car object.

  4. The program crashes and displays an error message.