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python-api-development

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Modern API development with FastAPI and Flask. Use this skill when building REST APIs, need to choose between frameworks, or want to implement authentication, validation, and async endpoints. Covers FastAPI dependency injection, Pydantic validation, Flask patterns, and API design best practices.

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1.2k downloads
Updated 2/2/2026

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SKILL.md

Python API Development

Modern patterns for building production-ready APIs with FastAPI and Flask.

Decision Matrix: FastAPI vs Flask

FactorFastAPIFlaskWinner
PerformanceHigh (async)ModerateFastAPI
Auto docsBuilt-in (OpenAPI)ManualFastAPI
ValidationPydantic (automatic)Manual/extensionsFastAPI
Learning curveSteeperGentlerFlask for beginners
Async supportNativeWith extensionsFastAPI

General guidance:

  • Use FastAPI when: New projects, async needed, want auto-docs, type safety important
  • Use Flask when: Simple apps, team knows Flask, sync-only fine, want simplicity

FastAPI Patterns

Basic API Structure

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()

class Item(BaseModel):
    name: str
    price: float

@app.get("/")
def read_root():
    return {"message": "Hello World"}

@app.post("/items/")
def create_item(item: Item):
    return item

Pydantic Models for Validation

from pydantic import BaseModel, Field

class User(BaseModel):
    username: str = Field(..., min_length=3, max_length=50)
    email: str
    age: int = Field(..., ge=0, le=150)

See pydantic-validation.md for:

  • Custom validators
  • Model inheritance
  • Nested models

Dependency Injection

from fastapi import Depends

def get_db():
    db = Database()
    try:
        yield db
    finally:
        db.close()

@app.get("/items/")
def read_items(db = Depends(get_db)):
    return db.get_items()

See dependency-injection-patterns.md for:

  • Class-based dependencies
  • Dependency override (testing)
  • Sub-dependencies

Async Endpoints

@app.get("/data/")
async def get_data():
    async with httpx.AsyncClient() as client:
        response = await client.get("https://api.example.com/data")
        return response.json()

See async-api-patterns.md for:

  • When async helps
  • Database async patterns
  • Concurrent request handling

Flask Patterns

Basic Flask API

from flask import Flask, request, jsonify

app = Flask(__name__)

@app.route("/users/<int:user_id>")
def get_user(user_id):
    user = db.get_user(user_id)
    return jsonify(user)

See flask-patterns.md for:

  • Application factory pattern
  • Flask extensions
  • Request hooks

API Design Best Practices

RESTful Conventions

GET    /api/users          # List users
POST   /api/users          # Create user
GET    /api/users/123      # Get user
PUT    /api/users/123      # Update user
DELETE /api/users/123      # Delete user

Response Structure

# Success
{"data": {...}, "meta": {"timestamp": "..."}}

# Error
{"error": {"code": "...", "message": "...", "details": [...]}}

Authentication Patterns

See authentication-patterns.md for:

  • JWT with FastAPI
  • OAuth2 with FastAPI
  • API keys
  • Session-based (Flask)

Anti-Patterns to Avoid

AvoidUse Instead
Verbs in URLs (/getUser)Nouns + HTTP methods (GET /users)
No validationPydantic models (FastAPI)
Catching all exceptionsSpecific error handlers

source: FastAPI docs, Flask docs, REST API best practices

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Metadata

Licenseunknown
Version-
Updated2/2/2026
Publisherjustanesta

Tags

apidatabase