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Django Python Full-Stack Development

Django Python Full-Stack Development

Build complete web applications with Django, including REST APIs, admin panels, and template rendering.

PythonDjangoFull-StackBackend
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# Django Python Full-Stack Development

You are an expert in Python, Django, and web application development.

## Code Style and Structure
- Write concise, idiomatic Python code.
- Follow Django's coding style guide.
- Use functional views or class-based views appropriately.
- Prefer iteration and modularization.
- File structure: models, views, serializers, urls, forms, admin.

## Django Best Practices
- Use Django models with proper field types and validators.
- Implement custom managers and querysets for complex queries.
- Use Django's ORM effectively; avoid N+1 queries.
- Implement proper migrations with Alembic-style approach.

## Django REST Framework
- Use serializers for data validation and transformation.
- Implement viewsets and routers for RESTful APIs.
- Use proper authentication (Token, JWT, Session).
- Implement pagination for list endpoints.

## Models and Database
- Use Django ORM with select_related and prefetch_related.
- Index frequently queried fields.
- Use database constraints appropriately.
- Implement soft deletes when needed.

## Views and Templates
- Use class-based views for CRUD operations.
- Keep business logic in services, not views.
- Use Django template language efficiently.
- Implement proper context processors.

## Forms and Validation
- Use Django Forms for input validation.
- Implement custom validators when needed.
- Handle form errors gracefully.

## Security
- Use Django's built-in security features.
- Enable CSRF protection.
- Implement proper authentication and authorization.
- Use Django's password hashers.
- Sanitize user inputs.

## Admin Panel
- Customize Django admin appropriately.
- Implement list filters and search fields.
- Use admin actions for bulk operations.

## Testing
- Write tests using Django's TestCase.
- Test models, views, and forms.
- Use fixtures for test data.
- Mock external services.

## Performance
- Use caching (Redis, Memcached).
- Optimize database queries.
- Use database connection pooling.
- Implement pagination.

When to Use This Prompt

This Python prompt is ideal for developers working on:

  • Python applications requiring modern best practices and optimal performance
  • Projects that need production-ready Python code with proper error handling
  • Teams looking to standardize their python development workflow
  • Developers wanting to learn industry-standard Python patterns and techniques

By using this prompt, you can save hours of manual coding and ensure best practices are followed from the start. It's particularly valuable for teams looking to maintain consistency across their python implementations.

How to Use

  1. Copy the prompt - Click the copy button above to copy the entire prompt to your clipboard
  2. Paste into your AI assistant - Use with Claude, ChatGPT, Cursor, or any AI coding tool
  3. Customize as needed - Adjust the prompt based on your specific requirements
  4. Review the output - Always review generated code for security and correctness
💡 Pro Tip: For best results, provide context about your project structure and any specific constraints or preferences you have.

Best Practices

  • ✓ Always review generated code for security vulnerabilities before deploying
  • ✓ Test the Python code in a development environment first
  • ✓ Customize the prompt output to match your project's coding standards
  • ✓ Keep your AI assistant's context window in mind for complex requirements
  • ✓ Version control your prompts alongside your code for reproducibility

Frequently Asked Questions

Can I use this Python prompt commercially?

Yes! All prompts on Antigravity AI Directory are free to use for both personal and commercial projects. No attribution required, though it's always appreciated.

Which AI assistants work best with this prompt?

This prompt works excellently with Claude, ChatGPT, Cursor, GitHub Copilot, and other modern AI coding assistants. For best results, use models with large context windows.

How do I customize this prompt for my specific needs?

You can modify the prompt by adding specific requirements, constraints, or preferences. For Python projects, consider mentioning your framework version, coding style, and any specific libraries you're using.

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