Django Coding Interview Questions with Answers

Django has stood the test of time as one of the most popular Python frameworks for web development. It’s fast, secure, and comes with a batteries-included approach that makes it the framework of choice for developers and companies alike. From startups building prototypes to enterprises managing large-scale applications, Django is trusted for its ability to balance simplicity with power.

As a result, the demand for Django engineers continues to grow. Recruiters aren’t just interested in whether you know Python—they want to see if you can structure scalable apps, design clean architectures, and debug production issues. That’s why Django coding interview questions are a standard part of technical interviews today.

In this guide, we’ll cover everything you need to prepare as part of your coding interview prep roadmap: basics, intermediate, advanced concepts, hands-on coding, debugging and optimization, behavioral interview tips and questions, common mistakes, and a preparation strategy. If you’re preparing for Django coding interview questions, this guide will help you feel confident and ready.

Why Companies Ask Django Coding Interview Questions

Some of the world’s biggest platforms, like Instagram, Pinterest, and Mozilla, rely on Django to handle millions of users every day. Companies love Django because it supports rapid prototyping, can scale with demand, and is easy to maintain over time. That’s why recruiters lean on Django coding interview questions along with Python coding interview questions to identify candidates who can deliver production-ready solutions.

From a recruiter’s perspective, these questions reveal:

Conceptual knowledge: Do you understand the MVT pattern, ORM, and middleware?
Implementation skills: Can you build APIs, authentication systems, and forms?
Optimization ability: Do you know how to use caching, optimize queries, and prepare for scaling?
Deployment readiness: Can you handle migrations, secure apps, and configure production settings?

Practical, scenario-driven questions matter more than memorization. Employers want developers who can apply Django concepts in real-world systems where reliability and performance matter.

Core Django Concepts You Must Master Before the Interview

Before diving into advanced architecture and deployment, you need to master the essentials and understand how to practice for coding interviews. Many Django coding interview questions are designed to check whether you understand and can apply these core concepts.

MVT (Model-View-Template) vs MVC

Django follows the Model-View-Template (MVT) pattern, which is similar to MVC but with subtle differences:

Model: Defines the data structure and interacts with the database using Django’s ORM.
View: Handles logic and communicates between the model and template.
Template: Responsible for presentation and rendering dynamic content.

Unlike MVC, where the controller is a separate component, Django’s “view” often plays that role, while templates handle rendering. Understanding this distinction is key to structuring applications effectively.

Models & ORM

Django’s Object-Relational Mapper (ORM) is one of its strongest features. It allows you to interact with databases using Python code rather than raw SQL.

Key points to master:

Defining models with models.Model.
Running migrations (makemigrations and migrate).
Querying with methods like filter(), exclude(), and annotate().
Understanding relationships: ForeignKey, ManyToManyField, and OneToOneField.

For example:

class Author(models.Model):

    name = models.CharField(max_length=100)

class Book(models.Model):

    title = models.CharField(max_length=200)

    author = models.ForeignKey(Author, on_delete=models.CASCADE)

This ORM layer is often the focus of technical interviews because it shows if you can structure data efficiently.

Views: Function-Based vs Class-Based

Django supports both function-based views (FBVs) and class-based views (CBVs).

FBVs are simple and explicit. Example:

def home(request):

    return HttpResponse(“Hello, Django!”)

CBVs provide more abstraction and reusability:

from django.views import View

class HomeView(View):

    def get(self, request):

        return HttpResponse(“Hello, Django with CBV!”)

Interviews may test whether you can explain when to choose one over the other.

Templates

The Django template language lets you separate presentation from logic.

Supports filters ({{ name|upper }}), tags ({% if %} {% for %}), and inheritance ({% extends %}).
Encourages clean separation between Python logic and HTML.

Interviewers often check if you know how to use context variables and inheritance effectively.

Forms & Validation

Forms are central to most Django applications.

Forms handle input and validation.
ModelForms tie directly to models, reducing boilerplate.

For example:

class AuthorForm(forms.ModelForm):

    class Meta:

        model = Author

        fields = [‘name’]

Expect interview questions about custom validations or handling user input securely.

Django Admin

The Django admin interface is one of the framework’s standout features.

Allows rapid data management.
Can be customized with ModelAdmin.
Often tested in interviews for knowledge of extending functionality (e.g., custom filters or inline models).

Middleware

Middleware sits between the request and response cycle. It can:

Handle authentication, logging, and performance monitoring.
Be custom-built for specific use cases (e.g., tracking request times).

Example custom middleware:

class SimpleMiddleware:

    def __init__(self, get_response):

        self.get_response = get_response

    def __call__(self, request):

        response = self.get_response(request)

        return response

Mastering these fundamentals ensures you can handle tricky Django coding interview questions with ease. You can also use Educative’s Grokking the Coding Interview Patterns course for further preparation.

Basic Django Coding Interview Questions

These questions test your foundation. Expect them early in the interview.

1) What is Django, and why use it over Flask?

Answer:
- Django is a high-level Python web framework that follows the MVT pattern.
- It comes with batteries included: ORM, admin panel, authentication, and security features.
- Flask is lightweight and flexible but requires more setup for larger apps.
- Use Django when you need fast prototyping, scalability, and built-in tools.

2) Explain the MVT pattern in Django.

Answer:
- Model: Handles database structure using Django ORM.
- View: Contains logic to fetch data and pass it to templates.
- Template: Handles presentation and rendering HTML.
Unlike MVC, Django’s “View” acts like a controller, and templates take care of the view layer.

3) What are Django apps, and how do they differ from projects?

Answer:
- Project: The entire web application, which can contain multiple apps.
- App: A modular component of the project (e.g., blog, authentication, payments).
- Apps can be reused across projects.

django-admin startproject mysite

python manage.py startapp blog

4) How do you handle static files in Django?

Answer:
- Static files include CSS, JS, and images.
- Defined in STATIC_URL and collected with collectstatic.
- In production, serve them via a web server like Nginx or use a CDN.

# settings.py

STATIC_URL = ‘/static/’

STATICFILES_DIRS = [BASE_DIR / “static”]

These basic Django coding interview questions check if you’ve worked with Django beyond “Hello, World.”

Intermediate Django Coding Interview Questions

These questions dig into ORM, authentication, and performance.

1) Explain Django ORM and how it simplifies database queries.

Answer:
- ORM lets you query databases using Python classes instead of raw SQL.
- It abstracts SQL queries into Python methods.

# Fetch all authors

authors = Author.objects.all()

# Equivalent SQL: SELECT * FROM author;

Simplifies development and makes code database-agnostic.

2) What are migrations, and why are they important?

Answer:
- Migrations track changes in models and apply them to the database schema.

Commands:

python manage.py makemigrations

python manage.py migrate

Without migrations, database changes would be manual and error-prone.

3) How do you implement authentication and authorization in Django?

Answer:
- Django provides a built-in User model and authentication system.
- Supports login, logout, and permissions.

from django.contrib.auth import authenticate, login

user = authenticate(username=’john’, password=’secret’)

if user:

    login(request, user)

Authorization is handled with groups, permissions, and decorators like @login_required.

4) What is the difference between select_related and prefetch_related?

Answer:
- select_related: Optimizes queries for foreign key relationships (single join).
- prefetch_related: Optimizes queries for many-to-many or reverse relationships (two separate queries).

# Example

books = Book.objects.select_related(‘author’).all()

Using these avoids the N+1 query problem.

5) How do you use signals in Django?

Answer:
- Signals allow you to trigger actions when certain events happen (e.g., after saving a model).

from django.db.models.signals import post_save

from django.dispatch import receiver

@receiver(post_save, sender=User)

def welcome_email(sender, instance, created, **kwargs):

    if created:

        print(f”Welcome email sent to {instance.username}”)

6) Write a query to fetch all active users who logged in the last 7 days.

from django.utils.timezone import now, timedelta

last_week = now() – timedelta(days=7)

active_users = User.objects.filter(is_active=True, last_login__gte=last_week)

These intermediate Django coding interview questions prove your comfort with ORM, authentication, and real-world app building.

Advanced Django Coding Interview Questions

Here, recruiters want to know if you can handle scaling, security, and deployment.

1) How does Django handle security (CSRF, XSS, SQL injection)?

Answer:
- CSRF: Django adds CSRF tokens in forms.
- XSS: Auto-escapes variables in templates ({{ name }}).
- SQL Injection: ORM parameterizes queries.
- Django also provides clickjacking protection via X-Frame-Options.

2) Explain caching strategies in Django.

Answer:
- Per-view cache: Cache entire view outputs.
- Template fragment cache: Cache parts of templates.
- Low-level cache API: Manually cache data.
- Backends: Memcached, Redis, or database caching.

from django.views.decorators.cache import cache_page

@cache_page(60 * 15)

def my_view(request):

    return HttpResponse(“Cached response”)

3) How do you scale a Django application?

Answer:
- Optimize queries with select_related.
- Use caching (Redis/Memcached).
- Deploy with Gunicorn + Nginx.
- Add load balancers and database replication.
- Queue background tasks with Celery.

4) What is middleware chaining, and how does it work?

Answer:
- Middleware is executed in order.
- Each middleware gets the request, can modify it, and passes it along.
- Response flows back through the chain in reverse.

5) Discuss deploying Django on AWS with Gunicorn + Nginx.

Answer:
- Use Gunicorn as the WSGI HTTP server.
- Use Nginx as a reverse proxy to handle static files and SSL.
- Automate with Terraform or Ansible.
- Store secrets securely in AWS Secrets Manager.

6) How do you handle asynchronous tasks in Django?

Answer:
- Use Celery with Redis or RabbitMQ as a broker.
- Example: sending emails in the background.

from celery import shared_task

@shared_task

def send_email_task(user_id):

    print(f”Sending email to user {user_id}”)

These advanced Django coding interview questions test your ability to scale apps, keep them secure, and run them in production.

Debugging & Optimization Django Questions

These questions test how you think when things aren’t working. Keep answers structured: observe → isolate → fix → prevent.

1) Your Django query is slow. How do you debug it?

Observe
- Reproduce with the same inputs.
- Log SQL and timings.
Isolate
- Look for N+1 patterns and missing indexes.
- Inspect the query plan.
Fix
- Use select_related / prefetch_related.
- Add only() / defer() to trim columns.
- Create DB indexes where appropriate.
Prevent
- Add regression tests for query counts.

# settings.py (dev only): basic SQL timing

LOGGING = {

  “version”: 1,

  “handlers”: {“console”: {“class”: “logging.StreamHandler”}},

  “loggers”: {“django.db.backends”: {“handlers”: [“console”], “level”: “DEBUG”}},

}

# Identify N+1 and fix

books = Book.objects.select_related(“author”).all()

# Trim payload

qs = Book.objects.only(“id”, “title”, “author_id”)

# Explain plan (Postgres)

sql, params = qs.query.sql_with_params()

from django.db import connection

with connection.cursor() as c:

    c.execute(“EXPLAIN ” + sql, params)

    print(“\n”.join(r[0] for r in c.fetchall()))

2) How do you identify and fix N+1 queries?

Smell: A loop over objects that triggers additional queries inside the loop.
Fix:
- select_related() for ForeignKey/OneToOne.
- prefetch_related() for ManyToMany/reverse relations.

# BAD

for book in Book.objects.all():

    print(book.author.name)  # N extra queries

# GOOD

for book in Book.objects.select_related(“author”):

    print(book.author.name)

3) A migration failed in production. What now?

Immediate
- Put site in maintenance (if needed).
- Restore from backup if migration is destructive.
Inspect
- Show the plan; confirm which migration failed.
Recover
- Recreate missing state, or --fake if DB already matches.
- Re-run migrations.
Prevent
- Use smaller, reversible migrations.
- Test on a prod-like snapshot.

python manage.py showmigrations app –plan

python manage.py migrate app 0009  # rollback to safe point

python manage.py migrate           # re-apply

# If schema already applied manually:

python manage.py migrate app 0010 –fake

4) How do you profile a Django app for bottlenecks?

Wedge timing in middleware for request latency.
Use cProfile for CPU hotspots.
Add metrics around critical code paths.

# middleware.py: simple latency logger

import time, logging

logger = logging.getLogger(__name__)

class LatencyMiddleware:

    def __init__(self, get_response): self.get_response = get_response

    def __call__(self, request):

        t0 = time.perf_counter()

        response = self.get_response(request)

        logger.info(“path=%s ms=%.2f”, request.path, (time.perf_counter()-t0)*1000)

        return response

# cprofile_run.py (dev utility)

import cProfile, pstats

prof = cProfile.Profile()

prof.enable()

# … call your function/view here …

prof.disable()

pstats.Stats(prof).sort_stats(“cumtime”).print_stats(30)

5) Cache strategy quick hits

Per-view cache for expensive pages.
Template fragment cache for slow components.
Low-level cache for computed data (Redis/Memcached).

from django.core.cache import cache

key = f”top_books:v1″

data = cache.get(key)

if data is None:

    data = list(Book.objects.order_by(“-rating”)[:10].values(“id”,”title”))

    cache.set(key, data, 600)  # 10 minutes

Hands-On Django Coding Interview Questions (Step-by-Step)

Each task mirrors real interview exercises: prompt → steps → code → why it matters.

Task 1 — Build a minimal REST API for posts (list/create)

Prompt: Implement endpoints to list and create Post entries.

Steps:

Define the model.
Add serializer.
Create API views.
Wire up urls.py.

# models.py

from django.db import models

class Post(models.Model):

    title = models.CharField(max_length=120)

    body  = models.TextField()

    created_at = models.DateTimeField(auto_now_add=True)

# serializers.py (DRF)

from rest_framework import serializers

from .models import Post

class PostSerializer(serializers.ModelSerializer):

    class Meta: model = Post; fields = (“id”,”title”,”body”,”created_at”)

# views.py

from rest_framework import generics

from .models import Post

from .serializers import PostSerializer

class PostListCreate(generics.ListCreateAPIView):

    queryset = Post.objects.order_by(“-created_at”)

    serializer_class = PostSerializer

# urls.py

from django.urls import path

from .views import PostListCreate

urlpatterns = [ path(“posts/”, PostListCreate.as_view(), name=”post-list-create”) ]

Why it matters: Tests CRUD, DRF basics, and clean layering.

Task 2 — Custom middleware to log request times

Prompt: Log each request’s latency and status code.

Steps:

Implement middleware.
Register it in settings.py.
Verify logs.

# middleware.py

import time, logging

log = logging.getLogger(“perf”)

class TimingMiddleware:

    def __init__(self, get_response): self.get_response = get_response

    def __call__(self, request):

        t0 = time.perf_counter()

        response = self.get_response(request)

        ms = (time.perf_counter() – t0) * 1000

        log.info(“method=%s path=%s status=%s ms=%.2f”,

                 request.method, request.path, response.status_code, ms)

        return response

# settings.py

MIDDLEWARE = [

  # …

  “app.middleware.TimingMiddleware”,

]

Why it matters: Shows you understand the request/response lifecycle and observability.

Task 3 — Registration form with custom validation

Prompt: Build a user signup with password confirmation and simple policy check.

Steps:

Create a forms.Form with two password fields.
Validate in clean() or clean_password2.
Create the user on success.

# forms.py

from django import forms

from django.contrib.auth.models import User

class SignupForm(forms.Form):

    username = forms.CharField(max_length=150)

    email    = forms.EmailField()

    password1 = forms.CharField(widget=forms.PasswordInput)

    password2 = forms.CharField(widget=forms.PasswordInput)

    def clean(self):

        cleaned = super().clean()

        if cleaned.get(“password1”) != cleaned.get(“password2”):

            raise forms.ValidationError(“Passwords do not match.”)

        if len(cleaned.get(“password1″,””)) < 8:

            raise forms.ValidationError(“Password too short.”)

        return cleaned

    def save(self):

        return User.objects.create_user(

            username=self.cleaned_data[“username”],

            email=self.cleaned_data[“email”],

            password=self.cleaned_data[“password1”],

        )

# views.py (FBV example)

from django.shortcuts import render, redirect

from .forms import SignupForm

def signup(request):

    if request.method == “POST”:

        form = SignupForm(request.POST)

        if form.is_valid():

            form.save()

            return redirect(“login”)

    else:

        form = SignupForm()

    return render(request, “signup.html”, {“form”: form})

Why it matters: Tests forms & validation, a frequent production concern.

Task 4 — ORM: Top 5 most commented posts (by comment count)

Prompt: Return the five posts with the most comments.

Steps:

Use annotate(Count(...)).
Order by the computed field.
Limit to 5.

from django.db.models import Count

top_posts = (

  Post.objects

      .annotate(num_comments=Count(“comment”))

      .order_by(“-num_comments”, “-created_at”)[:5]

      .values(“id”, “title”, “num_comments”)

)

Why it matters: Tests aggregations, annotations, and performance-aware queries.

Task 5 — Asynchronous email with Celery

Prompt: Send a welcome email after user signup without blocking the request.

Steps:

Configure Celery app.
Create a shared_task.
Call the task in your signup flow.

# celery.py (project level)

import os

from celery import Celery

os.environ.setdefault(“DJANGO_SETTINGS_MODULE”, “project.settings”)

app = Celery(“project”)

app.config_from_object(“django.conf:settings”, namespace=”CELERY”)

app.autodiscover_tasks()

# tasks.py (in an installed app)

from celery import shared_task

from django.core.mail import send_mail

@shared_task

def send_welcome_email(email):

    send_mail(

        subject=”Welcome!”,

        message=”Thanks for joining us.”,

        from_email=”noreply@example.com”,

        recipient_list=[email],

        fail_silently=False,

    )

# views.py (after successful signup)

from .tasks import send_welcome_email

send_welcome_email.delay(user.email)

Why it matters: Demonstrates background processing and production-grade UX.

Task 6 — Prevent N+1 with prefetch_related (many-to-many)

Prompt: List posts with their tags without N+1.

Steps:

Use prefetch_related("tags").
Render tags without extra queries.

posts = Post.objects.prefetch_related(“tags”).all()

for p in posts:

    print(p.title, [t.name for t in p.tags.all()])

Why it matters: Shows you can optimize at the ORM layer.

Task 7 — Template fragment caching for a heavy sidebar

Prompt: Cache the “popular posts” sidebar for 10 minutes.

Steps:

Add cache backend.
Wrap fragment with {% cache %}.

{% load cache %}

{% cache 600 popular_posts %}

  <ul>

    {% for p in popular_posts %}

      <li>{{ p.title }}</li>

    {% endfor %}

  </ul>

{% endcache %}

Why it matters: Balances freshness with performance.

Behavioral & Scenario-Based Django Coding Interview Questions

Not every interview is about code. Employers also want to know how you handle real-world challenges, communicate with teams, and think under pressure.

1) “Your Django app works in development but fails in production. What do you do?”

Answer:
- Compare dev and prod settings (databases, ALLOWED_HOSTS, DEBUG).
- Check logs for stack traces.
- Verify static and media file handling in production.
- Confirm secrets and environment variables are set correctly.
Why they ask: To test if you can debug deployment issues methodically.

2) “How would you explain Django ORM to a junior developer?”

Answer:
- “Django ORM is like a translator between Python and the database. Instead of writing SQL, you write Python queries, and Django handles the SQL for you.”
Why they ask: To see if you can simplify complex concepts for teammates.

3) “Your team is preparing for Black Friday traffic on an e-commerce Django app. What’s your strategy?”

Answer:
- Add caching (Redis, per-view, and template fragment).
- Optimize queries with select_related and prefetch_related.
- Scale horizontally with load balancers.
- Use a CDN for static and media files.
Why they ask: To check if you can plan for scaling and performance under pressure.

4) “Your team debates Django REST Framework vs GraphQL. How do you handle it?”

Answer:
- Understand project needs first. DRF is simple and well-integrated with Django. GraphQL is powerful for complex querying.
- Present trade-offs, then align with business goals.
Why they ask: To measure your collaboration and decision-making skills.

These behavioral Django coding interview questions show interviewers that you can think critically and communicate clearly, not just code.

Common Mistakes Candidates Make in Django Interviews

Even experienced developers slip up. Avoid these mistakes to stand out.

1) Writing raw SQL when ORM suffices

Problem: Reinventing the wheel and making code less portable.
Fix: Use ORM unless performance absolutely requires raw SQL.

2) Forgetting query optimization

Problem: Triggering N+1 queries by looping through related objects.
Fix: Always check for opportunities to use select_related and prefetch_related.

3) Mismanaging static and media files in production

Problem: Serving them via Django instead of a CDN or Nginx.
Fix: Use collectstatic, and offload serving to a proper web server.

4) Hardcoding secrets in settings

Problem: Storing API keys in settings.py.
Fix: Use environment variables or secret managers.

5) Overcomplicating views

Problem: Writing long, procedural function-based views.
Fix: Use class-based views for reusability and cleaner code.

Avoiding these pitfalls can give you a big advantage in Django coding interview questions.

How to Prepare Effectively for Django Coding Interview Questions

A smart strategy makes preparation less overwhelming. Focus on concepts, coding practice, debugging, and behavioral readiness.

Step 1: Review Django fundamentals

Refresh the MVT architecture, ORM, and middleware.
Revisit authentication, forms, and Django admin customization.
Read through the Django docs for the latest updates.

Step 2: Build small projects

Create a blog app with authentication.
Build a REST API with Django REST Framework.
Deploy a small project to a free hosting platform to practice production settings.

Step 3: Debug and optimize

Practice finding and fixing N+1 queries.
Add caching to small projects.
Write and run custom middleware for monitoring.

Step 4: Practice live coding

Rehearse building models, queries, and forms quickly.
Explain your thought process out loud.
Pair with a friend for mock interviews.

Step 5: Use structured practice resources

Alongside Django-specific preparation, strengthen your coding interview fundamentals with Grokking the Coding Interview Patterns. This course helps you sharpen algorithms and problem-solving skills that complement your Django knowledge in interviews.

Final Week Checklist

Review Django ORM queries and forms.
Practice coding challenges (models, APIs, middleware).
Rehearse answers to behavioral questions.
Rest well before interview day.

With this balanced prep, you’ll be ready for any Django coding interview questions.

Conclusion

Preparing for Django coding interview questions is about more than memorizing syntax. Recruiters want developers who can:

Master Django fundamentals like MVT, ORM, and middleware.
Solve real coding challenges with clean, efficient code.
Debug and optimize apps for production performance.
Communicate clearly in behavioral and scenario-based discussions.

The good news? All of this is learnable with consistent practice. Every script you write, every query you optimize, and every mock interview you run makes you sharper.

If you’re preparing for Django coding interview questions, use this guide as your roadmap. With the right mix of technical knowledge and practical problem-solving, you’ll walk into your next interview ready to showcase both your Django skills and your ability to thrive as a developer.

Django Coding Interview Questions with Answers

Why Companies Ask Django Coding Interview Questions

Core Django Concepts You Must Master Before the Interview

MVT (Model-View-Template) vs MVC

Models & ORM

Views: Function-Based vs Class-Based

Templates

Forms & Validation

Django Admin

Middleware

Basic Django Coding Interview Questions

1) What is Django, and why use it over Flask?

2) Explain the MVT pattern in Django.

3) What are Django apps, and how do they differ from projects?

4) How do you handle static files in Django?

Intermediate Django Coding Interview Questions

1) Explain Django ORM and how it simplifies database queries.

2) What are migrations, and why are they important?

3) How do you implement authentication and authorization in Django?

4) What is the difference between select_related and prefetch_related?

5) How do you use signals in Django?

6) Write a query to fetch all active users who logged in the last 7 days.

Advanced Django Coding Interview Questions

1) How does Django handle security (CSRF, XSS, SQL injection)?

2) Explain caching strategies in Django.

3) How do you scale a Django application?

4) What is middleware chaining, and how does it work?

5) Discuss deploying Django on AWS with Gunicorn + Nginx.

6) How do you handle asynchronous tasks in Django?

Debugging & Optimization Django Questions

1) Your Django query is slow. How do you debug it?

2) How do you identify and fix N+1 queries?

3) A migration failed in production. What now?

4) How do you profile a Django app for bottlenecks?

5) Cache strategy quick hits

Hands-On Django Coding Interview Questions (Step-by-Step)

Task 1 — Build a minimal REST API for posts (list/create)

Task 2 — Custom middleware to log request times

Task 3 — Registration form with custom validation

Task 4 — ORM: Top 5 most commented posts (by comment count)

Task 5 — Asynchronous email with Celery

Task 6 — Prevent N+1 with prefetch_related (many-to-many)

Task 7 — Template fragment caching for a heavy sidebar

Behavioral & Scenario-Based Django Coding Interview Questions

1) “Your Django app works in development but fails in production. What do you do?”

2) “How would you explain Django ORM to a junior developer?”

3) “Your team is preparing for Black Friday traffic on an e-commerce Django app. What’s your strategy?”

4) “Your team debates Django REST Framework vs GraphQL. How do you handle it?”

Common Mistakes Candidates Make in Django Interviews

1) Writing raw SQL when ORM suffices

2) Forgetting query optimization

3) Mismanaging static and media files in production

4) Hardcoding secrets in settings

5) Overcomplicating views

How to Prepare Effectively for Django Coding Interview Questions

Step 1: Review Django fundamentals

Step 2: Build small projects

Step 3: Debug and optimize

Step 4: Practice live coding

Step 5: Use structured practice resources

Final Week Checklist

Conclusion

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