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Python REST APIs – Building and Consuming Web Services

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Python REST APIs – Building and Consuming Web Services

What is a REST API?

A REST (Representational State Transfer) API is an architectural style for providing an interface between systems over HTTP. In the Python ecosystem, APIs are the backbone of modern web and mobile development, allowing your Flutter apps or React frontends to communicate with a Python backend to fetch data, authenticate users, or process AI tasks.

Consuming APIs with 'Requests'

The requests library is the industry standard for making HTTP calls in Python. It is much more intuitive than the built-in urllib and handles JSON, headers, and authentication with minimal code.

PythonRead-only
1
import requests

# GET Request
response = requests.get('https://api.example.com/data')
if response.status_code == 200:
    data = response.json()
    print(data)

# POST Request with JSON body
payload = {'title': 'New Post', 'body': 'Hello World'}
res = requests.post('https://api.example.com/posts', json=payload)
print(res.status_code) # 201 Created

Building APIs: FastAPI vs. Flask

When it comes to building your own API, you have two main choices. In 2026, FastAPI is the preferred choice for new projects due to its speed and native support for asynchronous code and type hinting.

FeatureFlaskFastAPI
PerformanceStandard (Synchronous)High (Asynchronous/Asgi)
TypingNot enforcedStrongly enforced (Pydantic)
DocumentationManual (Swagger plugins)Automatic (/docs)
Ease of UseVery simple / MinimalDeveloper-friendly / Modern
Best ForSmall scripts / Simple sitesProduction APIs / AI services

FastAPI Quick Start

FastAPI uses Python type hints to validate data automatically. It also generates interactive API documentation (Swagger UI) by default.

PythonRead-only
1
from fastapi import FastAPI

app = FastAPI()

@app.get("/hello")
def read_root():
    return {"message": "Hello from Python Backend"}

@app.get("/items/{item_id}")
def read_item(item_id: int, q: str = None):
    return {"item_id": item_id, "query": q}

Common HTTP Methods

  • GET: Retrieve data from the server (Read).
  • POST: Submit new data to the server (Create).
  • PUT / PATCH: Update existing data (Update).
  • DELETE: Remove data from the server (Delete).

Test Your Knowledge

Q1
of 3

Which HTTP method is used to update an existing resource on a server?

A
GET
B
POST
C
PUT
D
DELETE
Q2
of 3

Which Python library is most commonly used to consume (request) APIs?

A
FastAPI
B
Flask
C
Requests
D
Pandas
Q3
of 3

What is the status code for a successful 'Created' resource?

A
200
B
201
C
404
D
500

Frequently Asked Questions

What is Uvicorn?

Uvicorn is a lightning-fast ASGI server implementation. While FastAPI provides the logic, Uvicorn is the actual 'engine' that runs the server and handles the web requests.

How do I handle authentication in a Python API?

The most common method is using JWT (JSON Web Tokens). Libraries like 'python-jose' and FastAPI's built-in OAuth2 support make it easy to protect routes.

Is FastAPI faster than Node.js?

In many benchmarks, FastAPI performs on par with or even faster than Node.js and Go, thanks to its underlying Starlette framework and Uvicorn server.

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