Q: What’s the object-oriented way to become wealthy?
A: Inheritance. ?
Your vocabulary determines the reality of your life.
In this tutorial, I have compiled the most essential terms and concepts of object-oriented programming in Python. My goal was to create the best Python OOP cheat sheet that shows them in one place.
Well — here it is:
Before we dive in the code from the Python OOP cheat sheet, let’s swipe through the most important OOP concepts in this Instagram post:
Want to get more printable PDF cheat sheets like the following one?
Join my free email series with cheat sheets, free Python lessons, and continuous improvement in Python! It’s fun! 🙂
So let’s study the code!
class Dog: # class attribute is_hairy = True # constructor def __init__(self, name): # instance attribute self.name = name # method def bark(self): print("Wuff") bello = Dog("bello") paris = Dog("paris") print(bello.name) "bello" print(paris.name) "paris" class Cat: # method overloading def miau(self, times=1): print("miau " * times) fifi = Cat() fifi.miau() "miau " fifi.miau(5) "miau miau miau miau miau " # Dynamic attribute fifi.likes = "mice" print(fifi.likes) "mice" # Inheritance class Persian_Cat(Cat): classification = "Persian" mimi = Persian_Cat() print(mimi.miau(3)) "miau miau miau " print(mimi.classification)
Before we dive into the vocabulary, here’s an interactive Python shell:
Exercise: Create a new class Tiger that inherits from the parent class Cat and add a custom method!
Let’s dive into the Vocabulary!
OOP Terminology in Python
Class: A blueprint to create objects. It defines the data (attributes) and functionality (methods) of the objects. You can access both attributes and methods via the dot notation.
Object (=instance): A piece of encapsulated data with functionality in your Python program that is built according to a class definition. Often, an object corresponds to a thing in the real world. An example is the object
Obama that is created according to the class definition
Person. An object consists of an arbitrary number of attributes and methods, encapsulated within a single unit.
Instantiation: The process of creating an object of a class.
Method: A subset of the overall functionality of an object. The method is defined similarly to a function (using the keyword
def) in the class definition. An object can have an arbitrary number of methods.
Method overloading: You may want to define a method in a way so that there are multiple options to call it. For example for class
X, you define a method
f(…) that can be called in three ways:
f(a,b,c). To this end, you can define the method with default parameters (e.g.,
f(a, b=None, c=None)).
Attribute: A variable defined for a class (class attribute) or for an object (instance attribute). You use attributes to package data into enclosed units (class or instance).
Class attribute (=class variable, static variable, static attribute): A variable that is created statically in the class definition and that is shared by all class objects.
Dynamic attribute: An “-->instance attribute” that is defined dynamically during the execution of the program and that is not defined within any method. For example, you can simply add a new attribute
neew to any object o by calling
o.neew = ... .
Instance attribute (=instance variable): A variable that holds data that belongs only to a single instance. Other instances do not share this variable (in contrast to “-->class attributes”). In most cases, you create an instance attribute
x in the constructor when creating the instance itself using the
self keywords (e.g.,
self.x = ... ).
A can inherit certain characteristics (like attributes or methods) from class
B. For example, the class
Dog may inherit the attribute
number_of_legs from the class
Animal. In this case, you would define the inherited class
Dog as follows:
class Dog(Animal): ...
Encapsulation: Binding together data and functionality that manipulates the data.
If you have understood these OOP terms, you can follow most of the discussions about object-oriented programming. That’s the first step towards proficiency in Python!
Automate Your Learning Progress in Python
Thanks for reading that far—you’re clearly ambitious in mastering the Python programming language.
For your convenience, I have created a Python cheat sheet email series where you will get tons of free stuff (cheat sheets, PDFs, lessons, code contests). Join 5,253 subscribers. It’s fun!
Where to Go From Here?
Enough theory. Let’s get some practice!
Coders get paid six figures and more because they can solve problems more effectively using machine intelligence and automation.
To become more successful in coding, solve more real problems for real people. That’s how you polish the skills you really need in practice. After all, what’s the use of learning theory that nobody ever needs?
You build high-value coding skills by working on practical coding projects!
Do you want to stop learning with toy projects and focus on practical code projects that earn you money and solve real problems for people?
🚀 If your answer is YES!, consider becoming a Python freelance developer! It’s the best way of approaching the task of improving your Python skills—even if you are a complete beginner.
If you just want to learn about the freelancing opportunity, feel free to watch my free webinar “How to Build Your High-Income Skill Python” and learn how I grew my coding business online and how you can, too—from the comfort of your own home.
- [Collection] 11 Python Cheat Sheets Every Python Coder Must Own
- [Python OOP Cheat Sheet] A Simple Overview of Object-Oriented Programming
- [Collection] 15 Mind-Blowing Machine Learning Cheat Sheets to Pin to Your Toilet Wall
- Your 8+ Free Python Cheat Sheet [Course]
- Python Beginner Cheat Sheet: 19 Keywords Every Coder Must Know
- Python Functions and Tricks Cheat Sheet
- Python Cheat Sheet: 14 Interview Questions
- Beautiful Pandas Cheat Sheets
- 10 Best NumPy Cheat Sheets
- Python List Methods Cheat Sheet [Instant PDF Download]
- [Cheat Sheet] 6 Pillar Machine Learning Algorithms
While working as a researcher in distributed systems, Dr. Christian Mayer found his love for teaching computer science students.
To help students reach higher levels of Python success, he founded the programming education website Finxter.com. He’s author of the popular programming book Python One-Liners (NoStarch 2020), coauthor of the Coffee Break Python series of self-published books, computer science enthusiast, freelancer, and owner of one of the top 10 largest Python blogs worldwide.
His passions are writing, reading, and coding. But his greatest passion is to serve aspiring coders through Finxter and help them to boost their skills. You can join his free email academy here.