Join Jungwoo Ryoo for an in-depth discussion in this video Proxy, part of Python: Design Patterns.
- Proxy becomes handy when creating an object that is very resource intensive. The problem we need to solve here is to postpone our object creation as long as possible, due to the resource intensive nature of the object we're creating. Therefore, there is a need for a placeholder which will in turn create the object if its creation is absolutely necessary. So here is our scenario. So in our scenario, we create this instance of the Producer class only when he's available, because only a fixed number of Producer objects can exist at a given time.
Our Proxy in this case is an artist who is checking to see if the Producer becomes available for a guest. In the Proxy design pattern clients interact with a Proxy object most of the time until the resource intensive object becomes available. Therefore, the Proxy object is in charge of creating the resource intensive objects. Adapter and Decorator are related to the Proxy design 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.
Programming Foundations: Design Patternswith Elisabeth Robson2h 19m Intermediate
1. Understanding Design Patterns
2. Creational Patterns
3. Structural Patterns
4. Behavioral Patterns
5. Design Best Practices
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