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41 lines
1.3 KiB
Markdown
41 lines
1.3 KiB
Markdown
# Design Patterns in Python
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- [Link](https://refactoring.guru/design-patterns/catalog)
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Design patterns are typical solutions to common problems
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in software design. Each pattern is like a blueprint
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that you can customize to solve a particular
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design problem in your code.
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## Benefits of patterns
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Patterns are a toolkit of solutions to common
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problems in software design. They define
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a common language that helps your team
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communicate more efficiently.
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## Classification
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Design patterns differ by their complexity, level of
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detail and scale of applicability. In addition,
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they can be categorized by their intent
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and divided into three groups.
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### [Creational Patterns](creational/README.md)
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- [Factory Method](creational/factory_method/README.md)
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- [Abstract Factory](creational/abstract_factory/README.md)
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- [Builder](creational/builder/README.md)
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- [Prototype](creational/prototype/README.md)
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- [Singleton](creational/singleton/README.md)
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### [Structural Patterns](structural/README.md)
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- [Adapter](structural/adapter/README.md)
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- [Bridge](structural/bridge/README.md)
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- [Composite](structural/composite/README.md)
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- [Decorator](structural/decorator/README.md)
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- [Facade](structural/facade/README.md)
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- [Flyweight](structural/flyweight/README.md)
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- [Proxy](structural/proxy/README.md)
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