Fast API - Python

Core Packages for Fast API Core Packages for Fast API Exploring more powerful and common packages and their use cases beyond the core built-in features. 1. Configuration ⚙️ Use Case: Managing application settings, secrets, and environment variables. Using Pydantic's Settings (from pydantic-settings ) and python-dotenv is the standard for creating a robust and type-safe configuration. It allows you to define settings in a class and automatically load values from environment variables, a .env file, or other sources. Python # .env file # This file is not checked into version control DATABASE_URL="postgresql://user:password@host:port/dbname" SECRET_KEY="your-secret-key-for-jwt" # config.py (a new file) from pydantic_settings import BaseSettings class Settings(BaseSettings): database...

Fast API Built In Features Fast API Built In Features A look at the key components that make FastAPI so powerful. Core Framework (Starlette) This forms the fundamental structure of your application. Applications, Routing, Endpoints, Middleware, Responses, WebSockets, Exceptions: All of these are core functionalities inherited from Starlette. Use Cases: Routing: Define how your application responds to different URL paths (`@app.get("/items/{item_id}")`). Middleware: Perform actions on every request and response, such as adding custom headers, handling CORS, or logging request details. WebSockets: Build real-time applications like a live chat or a stock ticker that pushes data to the client as it becomes a...