@app.get("/users/") async def get_users(): return users

from flask import Flask, jsonify

from fastapi import FastAPI from pydantic import BaseModel

import requests

app = FastAPI()

if __name__ == "__main__": app.run(debug=True) In this example, we define a simple Flask application with a single endpoint to retrieve users. This is a basic monolithic architecture, where all components are part of a single application. Let's build a simple microservice using FastAPI, a modern Python web framework. We'll use a microservices architecture for this example.

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.