Rapid Development
Developing with Django is fast. Seriously fast. “Django was designed to help developers take applications from concept to completion as quickly as possible.” This speed is largely due to its built-in features, such as the admin dashboard, the ORM, easily customizable authentication and authorization, form handling with CSRF protection, and more. Thanks to that, the foundations are there allowing you to move faster while not sacrificing much quality.
Furthermore, Django encourages the "Don't Repeat Yourself" (DRY) principle, allowing developers to write less code while achieving more functionality. This is particularly beneficial for projects with tight deadlines, where rapid iteration and deployment are crucial. It also helps keep the project structure in line, since most problems have a typical solution suggested by the framework, so there is no need to reinvent the wheel.
Scalable Applications
If you think just because Django won’t work on a large scale, just because Python is a relatively slow language, think again. “Some of the busiest sites on the web leverage Django’s ability to quickly and flexibly scale.” The framework is designed to handle high-traffic applications with ease. Some of the features that contribute to Django's scalability include:
Caching Framework
Django includes a robust caching framework that makes it a breeze to cache content, views, and entire pages. This caching mechanism helps reduce the load on the server and improves the application's performance. It also integrates with the most common tools, such as Redis and Memcached.
Asynchronous Tasks
Django supports asynchronous tasks through integrations with task queues like Celery. This allows developers to offload time-consuming tasks to background workers, ensuring the main application remains responsive and scalable.
Load Balancing
Django applications can be easily load-balanced across multiple servers using standard load balancing techniques, such as round-robin or least-connection algorithms. This allows the application to handle increased traffic by distributing the load across multiple servers.
