be-python

To build a Python backend API, you use FastAPI with SQLAlchemy for data persistence, focusing on contract-first development and type hinting to ensure robust, maintainable RESTful services.

The best way to validate requests in a FastAPI backend is using Pydantic v2 validation, which enforces strict data schemas and type hinting before data reaches your business logic or database layer.

Yes, you can use Django ORM instead of SQLAlchemy for Python backend services. The approach supports both ORMs for data modeling and persistence, allowing you to choose based on your specific framework preference.

You write tests for a Flask RESTful API using pytest, implementing comprehensive unit and integration tests that validate endpoints, request handling, and database interactions to ensure secure coding practices.

Contract-first development works with existing Flask applications by defining API schemas upfront using Pydantic v2 validation, ensuring your endpoints adhere to strict type hinting and secure coding standards.

PEP 8 compliance matters for Python backend services because it enforces readable, maintainable code standards across FastAPI, Django, or Flask projects, reducing errors and streamlining team collaboration.