What is REST API in Python apps?
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To connect a Python application to a database, you typically use a database connector or library that provides a bridge between Python and the specific type of database (e.g., MySQL, PostgreSQL, SQLite, MongoDB, etc.).
A REST API (Representational State Transfer Application Programming Interface) in Python apps is a way for your application to communicate with other systems over the web using HTTP methods (like GET, POST, PUT, DELETE).
🔹 Key Idea
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REST is an architectural style for building APIs.
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It uses resources (like users, orders, products) that are identified by URLs.
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Each resource can be created, read, updated, or deleted (CRUD) using HTTP requests.
🔹 Example in Python
Python apps often use frameworks like Flask or Django REST Framework (DRF) to build REST APIs.
Example with Flask:
from flask import Flask, jsonify, request
app = Flask(__name__)
# Sample data
users = [{"id": 1, "name": "Alice"}]
# GET request - fetch all users
@app.route('/users', methods=['GET'])
def get_users():
return jsonify(users)
# POST request - add new user
@app.route('/users', methods=['POST'])
def add_user():
new_user = request.get_json()
users.append(new_user)
return jsonify(new_user), 201
if __name__ == '__main__':
app.run(debug=True)
Here:
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GET /users→ Fetch users. -
POST /users→ Add a new user.
🔹 Why Use REST APIs in Python Apps?
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To connect front-end (React, Angular, mobile apps) with back-end logic.
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To allow integration with external services.
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To make apps scalable and modular.
👉 In short: A REST API in Python apps lets you expose your app’s data and functionality over the web in a standardized, resource-based way, typically using Flask or Django.
Do you want me to also explain how a REST API differs from GraphQL API?
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