Python Architecture Patterns Pdf Direct

app = Flask(__name__)

# Sample in-memory data store data = [ {"id": 1, "name": "John Doe"}, {"id": 2, "name": "Jane Doe"} ] python architecture patterns pdf

# Sample in-memory data store users = [ User(id=1, name="John Doe"), User(id=2, name="Jane Doe") ] app = Flask(__name__) # Sample in-memory data store

import requests

class User(BaseModel): id: int name: str We provided examples to help you get started

if __name__ == "__main__": main() In this example, we define a simple microservice using FastAPI, which exposes an endpoint to retrieve users. We then use the requests library to consume this endpoint in a separate application. In this write-up, we explored various Python architecture patterns, including monolithic, microservices, event-driven, layered, and hexagonal architectures. We provided examples to help you get started with each pattern. When choosing an architecture pattern, consider the specific needs of your project, including scalability, maintainability, and complexity.