Introduction:
REST (Representational State Transfer) API is a popular architectural style for designing networked applications. It allows different systems to communicate with each other over the internet using standard protocols and data formats. In this tutorial, we will explore how to create a REST API in Python using three popular web frameworks: Flask, FastAPI, and Django.
- Flask:
Flask is a lightweight and flexible web framework for Python that provides tools and libraries to build web applications easily. It is widely used for creating REST APIs due to its simplicity and ease of use.
To create a REST API in Flask, follow these steps:
Step 1: Install Flask using pip:
pip install Flask
Step 2: Create a new Flask project and navigate to its directory:
mkdir my_flask_app
cd my_flask_app
Step 3: Create a new Python file (e.g., app.py
) and write the following code to define a simple REST API endpoint:
from flask import Flask
app = Flask(__name__)
@app.route('/hello')
def hello():
return 'Hello, World!'
if __name__ == '__main__':
app.run()
Step 4: Run the Flask application:
python app.py
Step 5: Open a web browser and navigate to http://127.0.0.1:5000/hello
to see the response Hello, World!
.
- FastAPI:
FastAPI is a modern web framework for building APIs with Python that is fast, intuitive, and easy to use. It is designed for high performance and productivity, making it a great choice for creating REST APIs.
To create a REST API in FastAPI, follow these steps:
Step 1: Install FastAPI and Uvicorn using pip:
pip install fastapi uvicorn
Step 2: Create a new FastAPI project and navigate to its directory:
mkdir my_fastapi_app
cd my_fastapi_app
Step 3: Create a new Python file (e.g., main.py
) and write the following code to define a simple REST API endpoint:
from fastapi import FastAPI
app = FastAPI()
@app.get('/hello')
def hello():
return {'message': 'Hello, World!'}
if __name__ == '__main__':
import uvicorn
uvicorn.run(app, host='127.0.0.1', port=8000)
Step 4: Run the FastAPI application:
uvicorn main:app --reload
Step 5: Open a web browser and navigate to http://127.0.0.1:8000/hello
to see the response {"message": "Hello, World!"}
.
- Django:
Django is a high-level web framework for Python that follows the model-view-template (MVT) pattern. It is feature-rich and includes built-in tools for handling authentication, database management, and more, making it a robust option for building REST APIs.
To create a REST API in Django, follow these steps:
Step 1: Install Django using pip:
pip install Django
Step 2: Create a new Django project and navigate to its directory:
django-admin startproject my_django_project
cd my_django_project
Step 3: Create a new Django app within the project:
python manage.py startapp my_django_app
Step 4: Define a model in models.py
and run migrations:
from django.db import models
class Message(models.Model):
content = models.CharField(max_length=255)
python manage.py makemigrations
python manage.py migrate
Step 5: Create a serializer in serializers.py
to convert model instances to JSON:
from rest_framework import serializers
from .models import Message
class MessageSerializer(serializers.ModelSerializer):
class Meta:
model = Message
fields = ['id', 'content']
Step 6: Define a view in views.py
to handle API requests:
from rest_framework import viewsets
from .models import Message
from .serializers import MessageSerializer
class MessageViewSet(viewsets.ModelViewSet):
queryset = Message.objects.all()
serializer_class = MessageSerializer
Step 7: Register the view in urls.py
to create API endpoints:
from django.urls import path, include
from rest_framework.routers import DefaultRouter
from .views import MessageViewSet
router = DefaultRouter()
router.register(r'messages', MessageViewSet)
urlpatterns = [
path('', include(router.urls)),
]
Step 8: Run the Django development server:
python manage.py runserver
Step 9: Open a web browser and navigate to http://127.0.0.1:8000/messages
to see the list of messages or make API requests using tools like Postman.
Conclusion:
In this tutorial, we have explored how to create a REST API in Python using three popular web frameworks: Flask, FastAPI, and Django. Each framework has its strengths and weaknesses, so choose the one that best fits your project requirements. By following the steps outlined in this tutorial, you can create efficient and scalable REST APIs for your applications.
I ❤ Flask
Is it really a video, if he can teach this well only with audio, idk how his video explanation is going to be. 🙂
Really great explanation, thanks
Thank you for the clear and concise comparison. One question: can the FastAPI's documentation page be used as a GUI for the API? I mean it is possible to put that on a server so a user can access it, enter values as inputs and get a reponse back?
https://youtube.com/shorts/ztDk1vTzLIA?feature=share
Honestly, I do not know why anybody should now consider Django/Flask rest,now that we have fastapi, which is a rest first framework instead of a bolt on plugin…
Hi.
Hola, buen video 👍
Consulta: de los 3 frameworks: Django, FastApi y Flask… Cuál recomendarias para este 2022.o 2023.??
Saludos
Great video, thank you.
I'm looking for a framework similar to Laravel with Database migrations. Any idea?
Holy shit. In 5 minutes you cleared up little doubts I've had over the past few years. You need to do more. Your channel will blow up.
I don't have much time to elaborate a comment (I have to create my first REST API with Python today as a technical challenge for a job), but: FANTASTIC VIDEO!!!!!!!!!
Love your voice and clear explanation! Keep it going!
Hello
Extremely helpful!
v good vid, keep at it, you'll blow up soon
Who is more fast? Based on performance and scaling?
Great video, thank you. I'd love to see a simple project in FastAPI from start to finish.
You have a great style, keep it up.
Love the content!
wow. did not know about the fast api. thank you
very helpful video
Ok – Im' your 14'th subscriber…