Django: Building Web Applications with Python

A framework that brings nearly everything a web application needs from day one. Here is how to weigh it and use it.

Written from building applications

We build and maintain production web applications, including systems with databases, authentication, payments, and admin panels. This guide comes from the real trade-offs that arise when choosing and using a framework for that kind of work.

Django's strength: complete from the start

Django ships with nearly everything a web application needs: a database layer, users and permissions, an automatic admin panel, built-in protection against common attacks, and form handling. You do not have to choose and stitch together ten libraries before starting work.

Its admin panel is often underrated: once your data structure is written, you immediately have an interface for managing content. For internal applications that is sometimes enough on its own, no custom admin interface required.

When Django is not the best choice

If you are building a site whose content rarely changes and which prioritises load speed and search ranking, a modern JavaScript framework usually fits better. If you need only one or two simple API endpoints, Django feels excessive - FastAPI or Flask are lighter. If your team is strong in JavaScript with nobody fluent in Python, the learning cost is real. And if the application leans heavily on real-time interaction, Django can do it but it is not its strong suit.

The workflow

This order saves considerable rework, especially the first step.

1Design the data structure on paper first. Changing it after the application is live and holding data is far more expensive than thinking it through early.
2Set up an isolated environment per project, and separate secrets from code from day one.
3Write the models, then use the admin panel to check the data structure makes sense before building any interface.
4Build one path end to end before starting others, rather than leaving every part half-finished simultaneously.
5Write tests for whatever hurts most when it breaks, payments, permissions, calculations.
6Set up deployment early, not at the end. Deferred deployment problems always surface at the worst moment.

Common mistakes

These four most often cause trouble later:

Unnoticed chained queries. One list page can fire hundreds of database requests if relations are not fetched together.
Secrets committed to the repository. Keys and passwords belong in environment variables, and must be rotated if ever exposed.
Debug mode left on in production. This leaks system details to anyone who can trigger an error.
Uploads and static files not configured for production. Works on your machine, breaks on the server.

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