Python Object-Oriented Programming (2020)

1h 36mIntermediate2020-06-03

Authors

Joe Marini

Senior Developer Advocate at Google, Developer

Course details

The object-oriented programming (OOP) features in Python make it easier to build programs of increasing complexity and modularity. In this course, you can learn how to apply core OOP principles like inheritance and composition along with some Python-specific features like “magic” methods and data classes to build programs that are extensible and efficient. Begin by brushing up on some object-oriented basics, and then use Python features like magic methods to make your classes integrate tightly with the Python language and data classes to dramatically reduce the amount of boilerplate code needed to build data-centric objects.

Topics include:
Defining classes
Checking instance types
Using multiple inheritance
Creating objects with composition
Leveraging magic methods
Calling objects like functions
Defining data classes
Creating immutable data classes

Skills covered

Object-Oriented ProgrammingPythonProgramming LanguagesOpen SourceSoftware DevelopmentOne-Off

Concepts

0. Introduction

01 - Python object-oriented programming
02 - What you should know
03 - Setting up the development environment

1. Objected-Oriented Python

04 - Object-oriented programming refresher
05 - Basic class definition
06 - Instance methods and attributes
07 - Checking instance types
08 - Class methods and members

2. Inheritance and Composition

09 - Understanding inheritance
10 - Abstract base classes
11 - Using multiple inheritance
12 - Interfaces
13 - Understanding composition

3. Magic Object Methods

14 - What are magic methods
15 - String representation
16 - Equality and comparison
17 - Attribute access
18 - Callable objects

4. Data Classes

19 - Defining a data class
20 - Using post initialization
21 - Using default values
22 - Immutable data classes

Conclusion

23 - Next steps