Python + Django

Django for batteries-included web apps.

BackendComplex

Stack Components

LanguagePython 3.12

FrameworkDjango 5

ORMDjango ORM

DBPostgreSQL 16

Why

Admin, ORM, auth, migrations all included. Node.js, Go, and Python are the top 3 backend languages (Stack Overflow 2024).

Go's goroutines handle 100k+ concurrent connections per process; Node's event loop excels at I/O-bound workloads.

When

Use for content sites and admin panels. Avoid for microservices.

How

1. pip install django && django-admin startproject app 2. python manage.py startapp users 3. Define models 4. python manage.py runserver

Example

class User(models.Model): name = models.CharField(max_length=100) urlpatterns = [path('users/', views.users)] // Python + Django — usage example import { PythonDjango } from "python-django"; const result = await pythondjango({ input: "data" }); console.log(result);

Common Problems

⚠ORM N+1 — use select_related/prefetch_related
⚠Async views — use async def with async ORM
⚠Configuration drift between environments — use infrastructure-as-code (Terraform/Pulumi) to keep dev/staging/prod identical

Best Practices

✓Use Django REST Framework for APIs
✓Enable Django Debug Toolbar in dev
✓Set up health checks and graceful shutdown — handle SIGTERM to drain in-flight requests before exit

FAQ

What is Python + Django and what projects is it for?

Django for batteries-included web apps. It pairs layered technologies for end-to-end type safety and out-of-the-box deploys, fitting everything from MVPs to production SaaS.

How do I spin up a working demo with Python + Django in 10 minutes?

Two steps: (1) pip install django && django-admin startproject app; (2) python manage.py startapp users. Get the local dev server running, then wire one real data source to verify the end-to-end loop.

What is the most common pitfall with Python + Django and how do I avoid it?

The most common pitfall is: ORM N+1 — use select_related/prefetch_related. Avoid it by adding the matching checklist to your PR template and running type-check + lint + unit tests in CI — three gates before merge.

What are the best practices for Python + Django?

Best practices for Python + Django include: Use Django REST Framework for APIs; Enable Django Debug Toolbar in dev; Set up health checks and graceful shutdown — handle SIGTERM to drain in-flight requests before exit. The first one — "Use Django REST Framework for APIs" — should be set up at project init to avoid costly rework later.

When should I NOT choose Python + Django?

Pick something else in three cases: (1) the team has zero experience with the core framework and the deadline is tight (learning-curve risk); (2) it's a pure content/marketing site (Astro is lighter); (3) you need very high throughput (>10k RPS) or strict-consistency microservices (Go/Rust). Python + Django shines for mid-to-high complexity full-stack and API work — don't over-engineer simple static pages with it.