Python developer questionnaire

Maintainability, tests and test coverage status:

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📝 Table of Contents

• About
• Getting Started
• Built Using
• Authors
• License
• Logo

🧐 About

Web-application with a collection of python developer interview questions. You are not prepared!

🏁 Getting Started

Prerequisites

1. python = "^3.13"
2. uv = "^0.5.31"
3. git = "^2.49.0"
4. docker desktop = "4.38.0" or compatible CLI version

Run application locally in development mode with Docker Compose

1. Install Python with your preferred method Python official website

2. Install uv using official guide

3. Install Docker using official guide

4. Install git using official guide

5. Clone GitHub repo:

git clone https://github.com/Pythonusus/python_dev_questionnaire

6. Provide all necessary environment variables in .env file (see .env.example):
7. Install dependencies in virtual environment using uv:

make install

8. Install pre-commit hooks:

make pre-commit

9. Collect static files:

make static

10. Build Docker Image:

make docker-build-dev

11. Run Docker Container:

make docker-start-dev

12. Make your changes to the project. The code will be automatically reloaded because Docker Compose uses volumes for development. However, if you make changes to models, you need to run make docker-migrate to apply migrations to the database. You also need to run make docker-install if you modify project dependencies. Virtual environment is not shared between host and container.

⛏️ Built Using

• uv - an extremely fast Python package and project manager, written in Rust
• django - high-level Python web framework
• gunicorn - Python WSGI HTTP Server for UNIX
• django-bootstrap5 - CSS framework Bootstrap 5 for Django
• whitenoise - simplified static file serving for Python web apps
• dj-database-url - database URL configuration for Django
• python-dotenv - manage environment variables
• psycopg2-binary - PostgreSQL database adapter
• django-extensions - useful extensions for Django
• django-filter - reusable Django application that allows users to filter querysets dynamically
• ruff - an extremely fast Python linter and code formatter, written in Rust
• pytest - testing framework
• pytest-cov - code coverage measurement for Python
• pytest-django - pytest plugin for testing Django applications
• factory-boy - factory and fixture emulation for testing
• coverage - code coverage measurement for Python
• pre-commit - framework for managing and maintaining multi-language pre-commit hooks
• django-debug-toolbar - debugging tool for Django
• djlint - Django template linter and formatter
• django-browser-reload - browser reload for Django
• docker - containerization tool

✍️ Authors

@Pythonusus

⚖️ License

This project is licensed under the MIT License - see the LICENSE file for details.

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