Join Jungwoo Ryoo for an in-depth discussion in this video Decorator, part of Python: Design Patterns.
- Python makes implementing Decorator very straightforward due to its built in language features. Our challenge here is to add additional features to an existing object dynamically without using subclassing. Here's our scenario. We start with a function simply displaying a Hello World! message, and then we'd like to make the message look fancier by decorating it with additional tags, such as blink, as you can see here.
Functions are also objects in Python, and we can simply add additional features to these functions using this built in decorator feature in Python. Patterns such as adapter, composite, and strategy are related to the decorator pattern.
- Understanding design patterns
- Best design practices: consistency, completeness, and correctness
- Working with creational patterns
- Working with structural patterns
- Working with behavioral patterns
Skill Level Intermediate
Q: In the strategy pattern example, why does the code keep executing the default function rather than the alternate?
A: The programming demonstration skips the step of defining what the strategy pattern should be when an alternate function name is provided
as an argument as shown below.
1. Understanding Design Patterns
2. Creational Patterns
3. Structural Patterns
4. Behavioral Patterns
5. Design Best Practices
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