Class-based views help in composing reusable bits of behavior. Django REST Framework provides several pre-built views that allow us to reuse common functionality and keep our code DRY. In this section, we will dig deep into the different class-based views in Django REST Framework.
This article assumes you are already familiar with Django and Django REST Framework.
Checkout -
APIView
APIView class provides commonly required behavior for standard list and detail views. With APIView class, we can rewrite the root view as a class-based view. They provide action methods such as get(), post(), put(), patch(), and delete() rather than defining the handler methods.
Creating views using APIView
Let's take a look at how to create views using APIView. The views.py file module as follows:
Python3
from django.shortcuts import render
from django.http import Http404
from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework import status
from transformers.models import Transformer
from transformers.serializers import TransformerSerializer
class TransformerList(APIView):
"""
List all Transformers, or create a new Transformer
"""
def get(self, request, format=None):
transformers = Transformer.objects.all()
serializer = TransformerSerializer(transformers, many=True)
return Response(serializer.data)
def post(self, request, format=None):
serializer = TransformerSerializer(data=request.data)
if serializer.is_valid():
serializer.save()
return Response(serializer.data,
status=status.HTTP_201_CREATED)
return Response(serializer.errors, status=status.HTTP_400_BAD_REQUEST)
class TransformerDetail(APIView):
"""
Retrieve, update or delete a transformer instance
"""
def get_object(self, pk):
# Returns an object instance that should
# be used for detail views.
try:
return Transformer.objects.get(pk=pk)
except Transformer.DoesNotExist:
raise Http404
def get(self, request, pk, format=None):
transformer = self.get_object(pk)
serializer = TransformerSerializer(transformer)
return Response(serializer.data)
def put(self, request, pk, format=None):
transformer = self.get_object(pk)
serializer = TransformerSerializer(transformer, data=request.data)
if serializer.is_valid():
serializer.save()
return Response(serializer.data)
return Response(serializer.errors, status=status.HTTP_400_BAD_REQUEST)
def patch(self, request, pk, format=None):
transformer = self.get_object(pk)
serializer = TransformerSerializer(transformer,
data=request.data,
partial=True)
if serializer.is_valid():
serializer.save()
return Response(serializer.data)
return Response(serializer.errors, status=status.HTTP_400_BAD_REQUEST)
def delete(self, request, pk, format=None):
transformer = self.get_object(pk)
transformer.delete()
return Response(status=status.HTTP_204_NO_CONTENT)
The code is similar to regular Django views, but there is a better separation between different HTTP Methods.
- The get() method process the HTTP GET request
- The post() method process the HTTP POST request
- The put() method process the HTTP PUT request
- The patch() method process the HTTP PATCH request
- The delete() method process the HTTP DELETE request
Setting URL Configuration
Since we are using class-based views the way we mention the views in the path of the urls.py file is slightly different. Create a new file named urls.py (if not exist) in the app (transformers) folder and add the below code
Python3
from django.urls import path
from rest_framework.urlpatterns import format_suffix_patterns
from transformers import views
urlpatterns = [
path('transformers/', views.TransformerList.as_view()),
path('transformers/<int:pk>/', views.TransformerDetail.as_view()),
]
urlpatterns = format_suffix_patterns(urlpatterns)
Next, set up the root URL configuration. You can open the urls.py (same folder where the settings.py file is located) and add the below code
Python3
from django.contrib import admin
from django.urls import path, include
urlpatterns = [
path('', include('transformers.urls')),
]
Composing and sending HTTP Requests
1. Create a new entry -
The HTTPie command is:
http POST :8000/transformers/ name="Optimus Prime" alternate_mode="1979 Freightliner Semi" description="Optimus Prime is the strongest and most courageous of all Autobots, he is also their leader" alive="True"
Output
HTTP/1.1 201 Created
Allow: GET, POST, HEAD, OPTIONS
Content-Length: 194
Content-Type: application/json
Date: Sat, 23 Jan 2021 03:48:46 GMT
Referrer-Policy: same-origin
Server: WSGIServer/0.2 CPython/3.7.5
Vary: Accept, Cookie
X-Content-Type-Options: nosniff
X-Frame-Options: DENY
{
"alive": true,
"alternate_mode": "1979 Freightliner Semi",
"description": "Optimus Prime is the strongest and most courageous of all Autobots, he is also their leader",
"id": 1,
"name": "Optimus Prime"
}
Sharing the command prompt screenshot for your reference:

2. Retrieve an existing entry
The pk value of Optimus Prime is 1. Let's pass the pk value and retrieve the details
The HTTPie command is:
http GET :8000/transformers/1/
Output
HTTP/1.1 200 OK
Allow: GET, HEAD, OPTIONS
Content-Length: 194
Content-Type: application/json
Date: Sat, 23 Jan 2021 03:50:42 GMT
Referrer-Policy: same-origin
Server: WSGIServer/0.2 CPython/3.7.5
Vary: Accept, Cookie
X-Content-Type-Options: nosniff
X-Frame-Options: DENY
{
"alive": true,
"alternate_mode": "1979 Freightliner Semi",
"description": "Optimus Prime is the strongest and most courageous of all Autobots, he is also their leader",
"id": 1,
"name": "Optimus Prime"
}
Sharing the command prompt screenshot for your reference

3. Update an existing entry
Let's update the field named alive by setting it to False. The HTTPie command is:
http PUT :8000/transformers/1/ name="Optimus Prime" alternate_mode="1979 Freightliner Semi" description="Optimus Prime is the strongest and most courageous of all Autobots, he is also their leader" alive="False"
Output
HTTP/1.1 200 OK
Allow: GET, PUT, PATCH, DELETE, HEAD, OPTIONS
Content-Length: 195
Content-Type: application/json
Date: Sat, 23 Jan 2021 04:22:30 GMT
Referrer-Policy: same-origin
Server: WSGIServer/0.2 CPython/3.7.5
Vary: Accept, Cookie
X-Content-Type-Options: nosniff
X-Frame-Options: DENY
{
"alive": false,
"alternate_mode": "1979 Freightliner Semi",
"description": "Optimus Prime is the strongest and most courageous of all Autobots, he is also their leader",
"id": 1,
"name": "Optimus Prime"
}
Sharing the command prompt screenshot for your reference

4. Update partially an existing entry
Let's partially update the field named description. The HTTPie command is:
http PATCH :8000/transformers/1/ description="Optimus Prime is the strongest and most courageous and leader of all Autobots"
Output
HTTP/1.1 200 OK
Allow: GET, PUT, PATCH, DELETE, HEAD, OPTIONS
Content-Length: 181
Content-Type: application/json
Date: Sat, 23 Jan 2021 04:32:40 GMT
Referrer-Policy: same-origin
Server: WSGIServer/0.2 CPython/3.7.5
Vary: Accept, Cookie
X-Content-Type-Options: nosniff
X-Frame-Options: DENY
{
"alive": false,
"alternate_mode": "1979 Freightliner Semi",
"description": "Optimus Prime is the strongest and most courageous and leader of all Autobots",
"id": 1,
"name": "Optimus Prime"
}
Sharing the command prompt screenshot

5. Delete an existing entry
We will create a new entry and delete it. Let's create a 'Test' entry using the below HTTPie command:
http POST :8000/transformers/ name="Test"
Output
HTTP/1.1 201 Created
Allow: GET, POST, HEAD, OPTIONS
Content-Length: 77
Content-Type: application/json
Date: Sat, 23 Jan 2021 04:34:41 GMT
Referrer-Policy: same-origin
Server: WSGIServer/0.2 CPython/3.7.5
Vary: Accept, Cookie
X-Content-Type-Options: nosniff
X-Frame-Options: DENY
{
"alive": false,
"alternate_mode": null,
"description": null,
"id": 2,
"name": "Test"
}
Now let's delete the 'Test' entry (pk =2). The HTTPie command to delete entry is
http DELETE :8000/transformers/2/
Output
HTTP/1.1 204 No Content
Allow: GET, PUT, PATCH, DELETE, HEAD, OPTIONS
Content-Length: 0
Date: Sat, 23 Jan 2021 04:35:06 GMT
Referrer-Policy: same-origin
Server: WSGIServer/0.2 CPython/3.7.5
Vary: Accept, Cookie
X-Content-Type-Options: nosniff
X-Frame-Options: DENY
Sharing the command prompt screenshot

Mixins
Mixin classes allow us to compose reusable bits of behavior. They can be imported from rest_framework.mixins. Let's discuss the different types of mixin classes
- ListModelMixin : It provides a .list(request, *args, **kwargs) method for listing a queryset. If the queryset is populated, the response body has a 200 OK response with a serialized representation of the queryset.
- CreateModelMixin: It provides a .create(request, *args, **kwargs) method for creating and saving a new model instance. If the object is created, the response body has a 201 Created response, with a serialized representation of the object. If invalid, it returns a 400 Bad Request response with the error details.
- RetrieveModelMixin: It provides a .retrieve(request, *args, **kwargs) method for returning an existing model instance in a response. If an object can be retrieved, the response body has a 200 OK response, with a serialized representation of the object. Otherwise, it will return a 404 Not Found.
- UpdateModelMixin: It provides a .update(request, *args, **kwargs) method for updating and saving an existing model instance. It also provides a .partial_update(request, *args, **kwargs) method for partially updating and an existing model instance. . If the object is updated, the response body has a 200 OK response, with a serialized representation of the object. Otherwise, 400 Bad Request response will be returned with the error details.
- DestroyModelMixin: It provides a .destroy(request, *args, **kwargs) method for deleting an existing model instance. If an object is deleted, the response body has a 204 No Content response, otherwise, it will return a 404 Not Found.
Note: We will be using GenericAPIView to build our views and adding in Mixins.
Creating Views using Mixins
Let's take a look at how we can make use of Mixin classes. The views.py file module as follows:
Python3
from rest_framework import mixins
from rest_framework import generics
from transformers.models import Transformer
from transformers.serializers import TransformerSerializer
class TransformerList(mixins.ListModelMixin,
mixins.CreateModelMixin,
generics.GenericAPIView):
queryset = Transformer.objects.all()
serializer_class = TransformerSerializer
def get(self, request, *args, **kwargs):
return self.list(request, *args, **kwargs)
def post(self, request, *args, **kwargs):
return self.create(request, *args, **kwargs)
class TransformerDetail(mixins.RetrieveModelMixin,
mixins.UpdateModelMixin,
mixins.DestroyModelMixin,
generics.GenericAPIView):
queryset = Transformer.objects.all()
serializer_class = TransformerSerializer
def get(self, request, *args, **kwargs):
return self.retrieve(request, *args, **kwargs)
def put(self, request, *args, **kwargs):
return self.update(request, *args, **kwargs)
def patch(self, request, *args, **kwargs):
return self.partial_update(request, *args, **kwargs)
def delete(self, request, *args, **kwargs):
return self.destroy(request, *args, **kwargs)
Here, the GenericAPIView class provides the core functionality, and we are adding mixin classes to it. The queryset and serializer_class are the basic attributes of GenericAPIView class. The queryset attribute is used for returning objects from this view and the serializer_class attribute is used for validating, deserializing input, and for serializing output.
In the TransformerList class, we make use of mixin classes that provide .list() and .create() actions and bind the actions to the get() and post() methods. In the TransformerDetail class we make use of mixin classes that provide .retrieve(), .update(), .partial_update(), and . destroy() actions and bind the actions to get(), put(), patch(), and delete() methods.
Composing and Sending HTTP Requests
1. Create a new entry
The HTTPie command is
http POST :8000/transformers/ name="Bumblebee" alternate_mode="1979 VW Beetle" description="Small, eager, and brave, Bumblebee acts as a messenger, scout, and spy" alive="True"
Output
HTTP/1.1 201 Created
Allow: GET, POST, HEAD, OPTIONS
Content-Length: 161
Content-Type: application/json
Date: Sat, 23 Jan 2021 04:58:26 GMT
Referrer-Policy: same-origin
Server: WSGIServer/0.2 CPython/3.7.5
Vary: Accept, Cookie
X-Content-Type-Options: nosniff
X-Frame-Options: DENY
{
"alive": true,
"alternate_mode": "1979 VW Beetle",
"description": "Small, eager, and brave, Bumblebee acts as a messenger, scout, and spy",
"id": 3,
"name": "Bumblebee"
}
2. Retrieve all entries
The HTTPie command is
http GET :8000/transformers/
Output
HTTP/1.1 200 OK
Allow: GET, POST, HEAD, OPTIONS
Content-Length: 345
Content-Type: application/json
Date: Sat, 23 Jan 2021 04:59:42 GMT
Referrer-Policy: same-origin
Server: WSGIServer/0.2 CPython/3.7.5
Vary: Accept, Cookie
X-Content-Type-Options: nosniff
X-Frame-Options: DENY
[
{
"alive": true,
"alternate_mode": "1979 VW Beetle",
"description": "Small, eager, and brave, Bumblebee acts as a messenger, scout, and spy",
"id": 3,
"name": "Bumblebee"
},
{
"alive": false,
"alternate_mode": "1979 Freightliner Semi",
"description": "Optimus Prime is the strongest and most courageous and leader of all Autobots",
"id": 1,
"name": "Optimus Prime"
}
]
Sharing the command prompt screenshot for your reference

Generic class-based views
To make use of generic class-based views, the view classes should import from rest_framework.generics.
- CreateAPIView: It provides a post method handler and it is used for create-only endpoints. CreateAPIView extends GenericAPIView and CreateModelMixin
- ListAPIView: It provides a get method handler and is used for read-only endpoints to represent a collection of model instances. ListAPIView extends GenericAPIView and ListModelMixin.
- RetrieveAPIView: It provides a get method handler and is used for read-only endpoints to represent a single model instance. RetrieveAPIView extends GenericAPIView and RetrieveModelMixin.
- DestroyAPIView: It provides a delete method handler and is used for delete-only endpoints for a single model instance. DestroyAPIView extends GenericAPIView and DestroyModelMixin.
- UpdateAPIView: It provides put and patch method handlers and is used for update-only endpoints for a single model instance. UpdateAPIView extends GenericAPIView and UpdateModelMixin.
- ListCreateAPIView: It provides get and post method handlers and is used for read-write endpoints to represent a collection of model instances. ListCreateAPIView extends GenericAPIView, ListModelMixin, and CreateModelMixin..
- RetrieveUpdateAPIView: It provides get, put, and patch method handlers. It is used to read or update endpoints to represent a single model instance. RetrieveUpdateAPIView extends GenericAPIView, RetrieveModelMixin, and UpdateModelMixin.
- RetrieveDestroyAPIView: It provides get and delete method handlers and it is used for read or delete endpoints to represent a single model instance. RetrieveDestroyAPIView extends GenericAPIView, RetrieveModelMixin, and DestroyModelMixin.
- RetrieveUpdateDestroyAPIView: It provides get, put, patch, and delete method handlers. It is used for read-write-delete endpoints to represent a single model instance. It extends GenericAPIView, RetrieveModelMixin, UpdateModelMixin, and DestroyModelMixin.
Creating views using generic class-based views
Let's take a look at how we can make use of Mixin classes. Here we will take advantage of ListCreateAPIView and RetrieveUpdateDestroyAPIView. The views.py file module as follows:
Python3
from rest_framework import generics
from transformers.models import Transformer
from transformers.serializers import TransformerSerializer
class TransformerList(generics.ListCreateAPIView):
queryset = Transformer.objects.all()
serializer_class = TransformerSerializer
class TransformerDetail(generics.RetrieveUpdateDestroyAPIView):
queryset = Transformer.objects.all()
serializer_class = TransformerSerializer
You can notice that we were able to avoid a huge amount of boilerplate code. These generic views combine reusable bits of behavior from mixin classes. Let's look at the declaration of ListCreateAPIView and RetrieveUpdateDestroyAPIView:
class ListCreateAPIView(mixins.ListModelMixin,
mixins.CreateModelMixin,
GenericAPIView):
......
class RetrieveUpdateDestroyAPIView(mixins.RetrieveModelMixin,
mixins.UpdateModelMixin,
mixins.DestroyModelMixin,
GenericAPIView):
......
Composing and sending HTTP Requests
1. Create a new entry
The HTTPie command is
http POST :8000/transformers/ name="Cliffjumper" alternate_mode="1979 Porsche 924" description="His eagerness and daring have no equal" alive="True"
Output
HTTP/1.1 201 Created
Allow: GET, POST, HEAD, OPTIONS
Content-Length: 133
Content-Type: application/json
Date: Sat, 23 Jan 2021 05:28:45 GMT
Referrer-Policy: same-origin
Server: WSGIServer/0.2 CPython/3.7.5
Vary: Accept, Cookie
X-Content-Type-Options: nosniff
X-Frame-Options: DENY
{
"alive": true,
"alternate_mode": "1979 Porsche 924",
"description": "His eagerness and daring have no equal",
"id": 5,
"name": "Cliffjumper"
}
Sharing the command prompt screenshot for your reference

2. Update an existing entry
The HTTPie command is
http PUT :8000/transformers/5/ name="Cliffjumper" alternate_mode="1979 Porsche 924" description="Eager and Daring" alive="True"
Output
HTTP/1.1 200 OK
Allow: GET, PUT, PATCH, DELETE, HEAD, OPTIONS
Content-Length: 111
Content-Type: application/json
Date: Sat, 23 Jan 2021 05:35:39 GMT
Referrer-Policy: same-origin
Server: WSGIServer/0.2 CPython/3.7.5
Vary: Accept, Cookie
X-Content-Type-Options: nosniff
X-Frame-Options: DENY
{
"alive": true,
"alternate_mode": "1979 Porsche 924",
"description": "Eager and Daring",
"id": 5,
"name": "Cliffjumper"
}
Sharing the command prompt screenshot for your reference

3. Partially update an existing entry
http PATCH :8000/transformers/3/ alive="True"
Output
HTTP/1.1 200 OK
Allow: GET, PUT, PATCH, DELETE, HEAD, OPTIONS
Content-Length: 151
Content-Type: application/json
Date: Sat, 23 Jan 2021 05:37:54 GMT
Referrer-Policy: same-origin
Server: WSGIServer/0.2 CPython/3.7.5
Vary: Accept, Cookie
X-Content-Type-Options: nosniff
X-Frame-Options: DENY
{
"alive": true,
"alternate_mode": "1979 VW Beetle",
"description": "Small, eager, and brave. Acts as a messenger, scout, and spy",
"id": 3,
"name": "Bumblebee"
}
Sharing the command prompt screenshot for your reference
In this section, we explored different types of class-based views provided by the Django REST Framework. We implemented views using APIView and explained different types of mixin classes. Finally, we revealed various types of generic class-based views and demonstrated how they avoid a huge amount of boilerplate code.
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Learning Model Building in Scikit-learnBuilding machine learning models from scratch can be complex and time-consuming. Scikit-learn which is an open-source Python library which helps in making machine learning more accessible. It provides a straightforward, consistent interface for a variety of tasks like classification, regression, clu
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TensorFlow TutorialTensorFlow is an open-source machine-learning framework developed by Google. It is written in Python, making it accessible and easy to understand. It is designed to build and train machine learning (ML) and deep learning models. It is highly scalable for both research and production.It supports CPUs
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PyTorch TutorialPyTorch is an open-source deep learning framework designed to simplify the process of building neural networks and machine learning models. With its dynamic computation graph, PyTorch allows developers to modify the networkâs behavior in real-time, making it an excellent choice for both beginners an
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Web Development with Python
Flask TutorialFlask is a lightweight and powerful web framework for Python. Itâs often called a "micro-framework" because it provides the essentials for web development without unnecessary complexity. Unlike Django, which comes with built-in features like authentication and an admin panel, Flask keeps things mini
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Django Tutorial | Learn Django FrameworkDjango is a Python framework that simplifies web development by handling complex tasks for you. It follows the "Don't Repeat Yourself" (DRY) principle, promoting reusable components and making development faster. With built-in features like user authentication, database connections, and CRUD operati
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Django ORM - Inserting, Updating & Deleting DataDjango's Object-Relational Mapping (ORM) is one of the key features that simplifies interaction with the database. It allows developers to define their database schema in Python classes and manage data without writing raw SQL queries. The Django ORM bridges the gap between Python objects and databas
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Templating With Jinja2 in FlaskFlask is a lightweight WSGI framework that is built on Python programming. WSGI simply means Web Server Gateway Interface. Flask is widely used as a backend to develop a fully-fledged Website. And to make a sure website, templating is very important. Flask is supported by inbuilt template support na
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Django TemplatesTemplates are the third and most important part of Django's MVT Structure. A Django template is basically an HTML file that can also include CSS and JavaScript. The Django framework uses these templates to dynamically generate web pages that users interact with. Since Django primarily handles the ba
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Python | Build a REST API using FlaskPrerequisite: Introduction to Rest API REST stands for REpresentational State Transfer and is an architectural style used in modern web development. It defines a set or rules/constraints for a web application to send and receive data. In this article, we will build a REST API in Python using the Fla
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How to Create a basic API using Django Rest Framework ?Django REST Framework (DRF) is a powerful extension of Django that helps you build APIs quickly and easily. It simplifies exposing your Django models as RESTfulAPIs, which can be consumed by frontend apps, mobile clients or other services.Before creating an API, there are three main steps to underst
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Python Practice
Python QuizThese Python quiz questions are designed to help you become more familiar with Python and test your knowledge across various topics. From Python basics to advanced concepts, these topic-specific quizzes offer a comprehensive way to practice and assess your understanding of Python concepts. These Pyt
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Python Coding Practice ProblemsThis collection of Python coding practice problems is designed to help you improve your overall programming skills in Python.The links below lead to different topic pages, each containing coding problems, and this page also includes links to quizzes. You need to log in first to write your code. Your
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Python Interview Questions and AnswersPython is the most used language in top companies such as Intel, IBM, NASA, Pixar, Netflix, Facebook, JP Morgan Chase, Spotify and many more because of its simplicity and powerful libraries. To crack their Online Assessment and Interview Rounds as a Python developer, we need to master important Pyth
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