Python Design            Patterns You Should          Be Aware Of in 2024

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Ensure a class has only one instance & provide a global point of access to it, particularly useful when exactly one object is needed to coordinate actions across the system.

Singleton Pattern

1

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Define an interface for creating an object but let subclasses alter the type of objects that will be created, promoting flexibility in object creation.

Factory Method Pattern

2

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Establish a one-to-many dependency between objects so that when one object changes state, all its dependents are notified and updated automatically.

Observer Pattern

3

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Define a family of algorithms, encapsulate each one, and make them interchangeable. The strategy pattern lets the algorithm vary independently from the clients using it.

Strategy Pattern

4

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Attach additional responsibilities to an object dynamically. Decorators provide a flexible alternative to subclassing for extending functionality.

Decorator Pattern

5

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6

Encapsulate a request as an object, thereby parameterizing clients with queues, requests, and operations. It allows for the support of undoable operations.

Command Pattern

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Convert the interface of a class into another interface that a client expects. Adapters allow incompatible interfaces to work together.

Adapter Pattern

7

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Define the skeleton of an algorithm in the superclass but let subclasses override specific steps of the algorithm without changing its structure.

Template Method Pattern

8

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Allow an object to alter its behavior when its internal state changes. The object will appear to change its class.

State Pattern

9

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Compose objects into tree structures to represent part-whole hierarchies. It lets clients treat individual objects and compositions of objects uniformly.

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Composite Pattern

10

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