What is REST API?
A REST API (Representational State Transfer) is an architectural style for building web APIs that uses standard HTTP methods (GET, POST, PUT, DELETE) to perform operations on resources identified by URLs.
REST API Explained
REST (Representational State Transfer) is the most widely used architectural style for web APIs. Created by Roy Fielding in 2000, REST uses standard HTTP methods to perform CRUD operations on resources. Each resource has a unique URL, and the API is stateless—meaning each request contains all the information needed to process it. RESTful APIs are the industry standard for web and mobile development because they're simple, scalable, and universally understood. At M3L Software, we build REST APIs with FastAPI that follow best practices: proper HTTP status codes, pagination, filtering, HATEOAS links, and comprehensive OpenAPI documentation.
Key Features
Common Use Cases
Code Example
from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
app = FastAPI()
class UserCreate(BaseModel):
name: str
email: str
users_db = {}
@app.get("/users")
async def list_users(skip: int = 0, limit: int = 10):
items = list(users_db.values())[skip:skip + limit]
return {"users": items, "total": len(users_db)}
@app.get("/users/{user_id}")
async def get_user(user_id: int):
if user_id not in users_db:
raise HTTPException(status_code=404, detail="User not found")
return users_db[user_id]
@app.post("/users", status_code=201)
async def create_user(user: UserCreate):
user_id = len(users_db) + 1
users_db[user_id] = {"id": user_id, **user.dict()}
return users_db[user_id]A RESTful API built with FastAPI demonstrating proper HTTP methods, status codes, pagination, error handling with HTTPException, and Pydantic models for input validation.
Frequently Asked Questions
What makes an API RESTful?
A RESTful API follows REST constraints: client-server separation, statelessness, cacheability, uniform interface (resource-based URLs, standard HTTP methods), and layered system architecture.
Is REST better than GraphQL?
Neither is universally better. REST is simpler, more cacheable, and better for simple CRUD operations. GraphQL excels when clients need flexible data fetching and you want to avoid over/under-fetching. Many companies use both.
What are common REST API best practices?
Use nouns for URLs (/users not /getUsers), proper HTTP methods, meaningful status codes, pagination for lists, versioning (v1/users), consistent error formats, and comprehensive documentation.
Related Terms
API
An Application Programming Interface (API) is a set of rules and protocols that allows different software applications to communicate with each other, enabling data exchange and functionality sharing.
Read moreGraphQL
GraphQL is a query language for APIs developed by Facebook that allows clients to request exactly the data they need, reducing over-fetching and under-fetching of data.
Read moreFastAPI
FastAPI is a modern, high-performance Python web framework for building APIs, known for its speed, automatic documentation, and type-hint-based validation using Pydantic.
Read moreCRUD
CRUD stands for Create, Read, Update, Delete—the four basic operations for persistent data storage that form the foundation of most web applications and APIs.
Read moreJWT
JSON Web Token (JWT) is a compact, URL-safe token format used for securely transmitting information between parties, commonly used for API authentication and authorization.
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