Python Object-Oriented Programming

Learn how to use the object-oriented features of Python, including magic methods and data classes, to write more efficient and effective code.

Introduction

• Python object-oriented programming
• What you should know
• Setting up the development environment

1. Object-Oriented Python

• Object-oriented programming refresher
• Basic class definition
• Instance methods and attributes
• Checking instance types
• Class methods and members
• Challenge: Stocks
• Solution: Stocks

2. Inheritance and Composition

• Understanding inheritance
• Abstract base classes
• Using multiple inheritance
• Interfaces
• Understanding composition
• Challenge: Stocks and bonds
• Solution: Stocks and bonds

3. "Magic" Object Methods

• What are magic methods?
• String representation
• Equality and comparison
• Attribute access
• Callable objects
• Challenge: Sorting stocks
• Solution: Sorting stocks

4. Data Classes

• Defining a data class
• Using post initialization
• Using default values
• Immutable data classes
• Challenge: Data classes
• Solution: Data classes

Conclusion

• Next steps