- Lab
- A Cloud Guru
Modeling Data with Classes in Python
Python is an object-oriented programming language, and lends itself to modeling problems using objects. In this hands-on lab, we'll be implementing a few different classes in order to create a todo list. The project has been documented with automated tests to help us verify that the code we've written will meet the requirements. By the time we're finished with this lab, we should be more comfortable creating classes and implementing methods on those classes.
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Table of Contents
-
Challenge
Implement the `Todo` Class
The
Todo
class holds on to a few pieces of information:name
: The name of the tododescription
: The description of the todopoints
: The difficulty/importance rating as an integer greater than zerocompleted
: Whether or not the todo has been completed as a boolean
Our first step will be to remove the
pass
line and implement the__init__
method:class Todo: # doctest omitted def __init__(self, name, description, points, completed=False): self.name = name self.description = description self.points = points self.completed = completed
We only needed to specify one default for
completed
, and the rest of the arguments are required.Next, we'll need to customize how the object is printed out. We can do this by implementing either the
__str__
method or the__repr__
. The default implementation for__str__
will use__repr__
. But since we also want our todos to represent themselves well when we just return them, we'll implement__repr__
.We also need to add a class-level variable to allow us to convert the boolean value of
completed
into a readable string.class Todo: # doctest and __init__ omitted statuses = { False: 'Incomplete', True: 'Complete' } def __repr__(self): return f"{self.name} ({self.statuses[self.completed]} - {self.points} points): {self.description}"
With these two methods implemented, we have a working
Todo
class. -
Challenge
Implement the `TodoList` Class
The
TodoList
class only receives one argument and implements more functionality:todos
: A list ofTodo
objects
Our first step will be to remove the
pass
line and implement the__init__
method:class TodoList: # doctest omitted def __init__(self, todos): self.todos = todos
It doesn't get much simpler than that.
Next, we need to implement the
average_points
function that will calculate the average of the points for all of theTodo
objects. The formula for calculating the average issum_of_points / number_of_todos
, so let's write that now:class TodoList: # doctest and __init__ omitted def average_points(self): total = 0 for todo in self.todos: total += todo.points return total / len(self.todos)
Finally, we need to implement two methods that return subsets of our
todos
: thecompleted
andincomplete
methods. These methods will be almost exactly the same except we'll filter them with a different conditional:class TodoList: # doctest and other methods omitted def completed(self): results = [] for todo in self.todos: if todo.completed: results.append(todo) return results def incomplete(self): results = [] for todo in self.todos: if not todo.completed: results.append(todo) return results
With all of these methods implemented, we should have all of the doctests passing, and our classes working as expected.
What's a lab?
Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.
Provided environment for hands-on practice
We will provide the credentials and environment necessary for you to practice right within your browser.
Guided walkthrough
Follow along with the author’s guided walkthrough and build something new in your provided environment!
Did you know?
On average, you retain 75% more of your learning if you get time for practice.