Programmation Orientée Objet en Python
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    • Introduction: Histoire et Concepts
    • Histoire de la programmation
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    • Construire sa propre Liste
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  • Encapsulation, Héritage, Composition et Dunder
    • Encapsulation, Heritage, Composition et Dunder
    • Encapsulation en Python
    • Héritage en Python : Concept et intérêt
    • Héritage vs Composition
    • Méthodes Dunder en Python
    • Python call Method: A Fun Exploration

    • Travaux Pratiques
    • TP: Heritage avec le pricing d’option
    • TP : Ajouter des méthodes dunder à DataFrameSimple
    • TP : Étendre la classe Liste avec des méthodes dunder
    • TP: Dunder Method with Tensor for Automatic Differentiation
  • Polymorphisme et Surcharge
    • Polymorphisme et Surcharge
    • Polymorphism in Object-Oriented Programming
    • Polymorphism in Python: Function Overloading and Type Checking
    • Class Creation: Standard vs type()
    • Type Hinting, Typing Module, and Linters in Python
    • Abstract Classes
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    • Travaux Pratiques
    • TP
  • Decorators
    • Design Patterns
    • The decorator pattern
    • Decorator Practically
    • Built-in Decorators and Standard Library Decorators in Python
    • Practical Decorators in Python Libraries

    • Travaux Pratiques
    • TP: Monte Carlo Option Pricing with Decorators
    • TP: Optimizing Heston Model Monte Carlo Simulation
  • Project Management and Packaging
    • Project and Package
    • Organizing Python Projects
    • Understanding imports
    • Python Package Management and Virtual Environments
    • Unit Testing in Python

    • Travaux Pratiques
    • TP: Creating a Linear Regression Package
  • Design Patterns
    • OOP Design Patterns
    • Python-Specific Design Patterns
    • Creation Design Patterns
    • Structural Design Patterns
    • Behavioral Design Pattern

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  1. Design Patterns
  • Design Patterns
  • The decorator pattern
  • Decorator Practically
  • Built-in Decorators and Standard Library Decorators in Python
  • Practical Decorators in Python Libraries
  • Travaux Pratiques
    • TP: Monte Carlo Option Pricing with Decorators
    • TP: Optimizing Heston Model Monte Carlo Simulation

On this page

  • Understanding Design Patterns in Software Development
    • What Are Design Patterns?
    • Origins of Design Patterns
    • Purpose of Design Patterns
    • Categories of Design Patterns
    • Benefits of Using Design Patterns
    • Considerations When Using Design Patterns
    • Examples of Common Design Patterns
    • Conclusion

Design Patterns

Cours
Fondamentaux
Learn about design patterns in software development, their purpose, benefits, and common categories, and understand how they provide reusable solutions to common problems in software design.
Author

Remi Genet

Published

2024-10-21

Understanding Design Patterns in Software Development


What Are Design Patterns?

Design patterns are reusable solutions to common problems in software design. They represent best practices evolved over time by experienced software developers. Design patterns are not complete solutions or finished designs that can be transformed directly into code. Instead, they provide templates for how to solve a problem in various situations.

Origins of Design Patterns

The concept of design patterns gained popularity in software engineering after the publication of the book “Design Patterns: Elements of Reusable Object-Oriented Software” by Erich Gamma, Richard Helm, Ralph Johnson, and John Vlissides (known as the “Gang of Four”) in 1994. However, the idea of patterns in design was introduced earlier by Christopher Alexander in the field of architecture.

Purpose of Design Patterns

  • Provide tested, proven development paradigms
  • Speed up the development process by providing well-tested mechanisms
  • Prevent subtle issues that can cause major problems
  • Improve code readability for coders and architects familiar with the patterns

Categories of Design Patterns

Generally, design patterns are categorized into three main types:

  1. Creational Patterns: These deal with object creation mechanisms, trying to create objects in a manner suitable to the situation.
  2. Structural Patterns: These deal with object composition or the structure of classes. They help ensure that if one part of a system changes, the entire structure doesn’t need to change.
  3. Behavioral Patterns: These are concerned with communication between objects, how objects interact and distribute responsibility.

Benefits of Using Design Patterns

  • Reusability: Patterns provide proven solutions to common problems.
  • Common vocabulary: They provide a common language for developers to efficiently communicate.
  • Reduce complexity: By providing tested, optimized solutions, they can reduce the complexity of code.
  • Best practices: They capture best practices developed through trial and error over a significant period.

Considerations When Using Design Patterns

  • Patterns should not be forced: Use them only when they are the best fit for the problem at hand.
  • Understanding the problem is crucial: Misapplying patterns can lead to unnecessary complexity.
  • Patterns evolve: As programming paradigms change, so do design patterns.

Examples of Common Design Patterns

  • Singleton: Ensures a class has only one instance and provides a global point of access to it.
  • Factory Method: Defines an interface for creating an object, but lets subclasses decide which class to instantiate.
  • Observer: Defines a one-to-many dependency between objects so that when one object changes state, all its dependents are notified and updated automatically.
  • Decorator: Attaches additional responsibilities to an object dynamically.

Conclusion

Design patterns are essential tools in a developer’s toolkit. They provide standardized solutions to common software design problems, promote code reuse, and establish a common language among developers. While they are powerful, it’s important to use them judiciously and appropriately based on the specific requirements of each project.

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The decorator pattern

Programmation Orienté Object en Python, Rémi Genet.
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