Python Object Oriented Programming Cheat Sheet

Beginner's Python Cheat Sheet - Classes What are classes? Print(my Classes are the foundation of object-oriented programming. Classes represent real-world things you want to model in your programs: for example dogs, cars, and robots. You use a class to make objects, which are specific instances of dogs, cars, and robots. Object Oriented Programming. Python is a multi-paradigm programming language. It supports different programming approaches. One of the popular approaches to solve a programming problem is by creating objects. This is known as Object-Oriented Programming (OOP). An object has two characteristics: attributes; behavior; Let's take an example.

Q: What’s the object-oriented way to become wealthy?
A: Inheritance.
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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.

Windows 10 2004 edge chromium. 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:

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So let’s study the code!

Before we dive into the vocabulary, here’s an interactive Python shell:

Object Oriented Python Pdf

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), f(a,b), or 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).

Python Object Oriented Programming Cheat Sheet Free

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 neewto any object o by calling o.neew = .. .

Object Oriented Programming Python Pdf

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 = .. ).

Inheritance: Class 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!

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Python Object Oriented Programming Exercises

Where to Go From Here?

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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.

Python Object Oriented Programming Cheat Sheet

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