Django, as a web framework, uses templates as a way of producing static HTML from the output of a Django view. In practice, Django’s templates are simply HTML files, with some special syntax and a set of tools which lets Django render the HTML page on-the-fly for the visiting user. Templates are highly customizable, but are meant to be simple, with most of the “heavy” logic going into the view. Let’s dive deeper and learn some standard ways of dealing with common problems.
Models are a core concept of the Django framework. According to Django’s design philosophies for models, we should be as explicit as possible with the naming and functionality of our fields, and ensure that we’re including all relevant functionality related to our model in the model itself, rather than in the views or somewhere else.
The Django User model is at the center of Django’s authentication system. It is the mechanism for identifying the users of your web application. A user will log in by providing their username and password. Then (depending on your authentication backend) the identity of that user is preserved across requests either through a session, a token, or some other mechanism.
During the development of my last django project I had to provide user authentication with Google accounts. To achieve this, I used the social-app-django library that implements an authentication/registration mechanism which supports several auth providers and protocols like OAuth (version 1 and 2) or OpenId.
Django - это популярный фреймворк для создания веб-приложений на языке Python. Одним из ключевых преимуществ Django является его ORM (Object-Relational Mapping), который позволяет работать с базами данных через объекты Python. Однако, при работе с ORM могут возникать проблемы производительности, так как некоторые операции могут быть достаточно медленными. В этой статье мы рассмотрим способы оптимизации работы с базой данных в Django, включая использование метода select_related и другие методы ускорения работы вашего приложения.
Wouldn’t it be useful if we could document changes in our life and revisit them later at will? It would allow us to better analyze situations, remember what we were thinking, or help us remember how we got to our current state. Although no such tool currently exists for changes in life, one such tool does exist in Django. It is called django-simple-history.
If you want to build a list page that allows filtering and pagination, you have to get a few separate things to work together. Django provides some tools for pagination, but the documentation doesn't tell us how to make that work with anything else. Similarly, django_filter makes it relatively easy to add filters to a view, but doesn't tell you how to add pagination (or other things) without breaking the filtering.
There are multiple ways to schedule tasks in your Django app, but there are some advantages to using Celery. It’s supported, scales well, and works nicely with Django. Given its wide use, there are also lots of resources for learning more about it, and once learned, that knowledge is likely to be useful on other projects.
In this tutorial you are going to learn how to implement Token-based authentication using Django REST Framework (DRF). The token authentication works by exchanging username and password for a token that will be used in all subsequent requests so to identify the user on the server side.
Data Migration is a very convenient way to change the data in the database in conjunction with changes in the schema. They work like a regular schema migration. Django keep track of dependencies, order of execution and if the application already applied a given data migration or not.
Python’s iterators and iterables are two different but related tools that come in handy when you need to iterate over a data stream or container. Iterators power and control the iteration process, while iterables typically hold data that you want to iterate over one value at a time.
Python 3.11 was published on October 24, 2022. This latest version of Python is faster and more user-friendly. After seventeen months of development, it’s now ready for prime-time use. As in every version, Python 3.11 comes with lots of improvements and changes. You can see a list of all of them in the documentation. Here, you’ll explore the coolest and most impactful new features.
In this article, we'll look at the differences between Django's class-based views (CBV) and function-based views (FBV). We'll compare and contrast and dive into the pros and cons of each approach (along with Django's built-in generic class-based views). By the end, you should have a good understanding of when to use one over the other.
Taking a Django app from development to production is a demanding but rewarding process. This tutorial will take you through that process step by step, providing an in-depth guide that starts at square one with a no-frills Django application and adds in Gunicorn, Nginx, domain registration, and security-focused HTTP headers. After going over this tutorial, you’ll be better equipped to take your Django app into production and serve it to the world.
In this article, we'll look at how to automatically retry failed Celery tasks.
In this tutorial, we'll look at how to integrate Django REST Framework (DRF) with Elasticsearch. We'll use Django to model our data and DRF to serialize and serve it. Finally, we'll index the data with Elasticsearch and make it searchable.
This is a step-by-step tutorial that details how to configure Django to run on Docker with Postgres. For production environments, we'll add on Nginx and Gunicorn. We'll also take a look at how to serve Django static and media files via Nginx.
If a long-running process is part of your application's workflow, rather than blocking the response, you should handle it in the background, outside the normal request/response flow.
In this article, we'll look at how to use Django REST Framework (DRF) serializers more efficiently and effectively by example. Along the way, we'll dive into some advanced concepts like using the source keyword, passing context, validating data, and much more.
As you build and scale a Django app you'll inevitably need to run certain tasks periodically and automatically in the background.