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  1. The messages framework can use different backends to store temporary messages. Django provides three built-in storage classes in django.contrib.messages: class storage.session.SessionStorage ¶. This class stores all messages inside of the request’s session. Therefore it requires Django’s contrib.sessions application.

  2. Writing tests ¶. Django’s unit tests use a Python standard library module: unittest. This module defines tests using a class-based approach. Here is an example which subclasses from django.test.TestCase , which is a subclass of unittest.TestCase that runs each test inside a transaction to provide isolation:

  3. Class-based views. ¶. A view is a callable which takes a request and returns a response. This can be more than just a function, and Django provides an example of some classes which can be used as views. These allow you to structure your views and reuse code by harnessing inheritance and mixins. There are also some generic views for tasks which ...

  4. Django + Vercel. This example shows how to use Django 4 on Vercel with Serverless Functions using the Python Runtime. Demo. https://django-template.vercel.app/ How it Works. Our Django application, example is configured as an installed application in api/settings.py:

  5. Django is a Python module for building web apps. Similar to Flask, but it comes with many more features. In Flask you can use any database system you want, but with Django you should use an Object-Relational Manager (ORM). With Flask you have to choose everything yourself, it’s known as a micro-framework. Django on the other hand, is a ...

  6. Running Django in Gunicorn as a generic WSGI application¶. When Gunicorn is installed, a gunicorn command is available which starts the Gunicorn server process. The simplest invocation of gunicorn is to pass the location of a module containing a WSGI application object named application, which for a typical Django project would look like:

  7. Complete this tutorial to deploy a sample Python Django app to Heroku. The tutorial assumes that you have: Python version 3.12 installed locally - see the installation guides for OS X, Windows, and Linux. Using dynos and databases to complete this tutorial counts towards your usage. We recommend using our low-cost plans to complete this tutorial.

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