Build Python projects the right way!

Best Practices for Structuring a Python Project Like a Pro! 🚀

Follow these best practices to structure your Python projects like a pro – clean, scalable, and maintainable!

Photo by Andrew Neel on Unsplash

Structuring your Python project correctly can save you from headaches later. A well-organized project improves maintainability, scalability, and collaboration — whether you’re working solo or with a team.

In this article, I’ll walk you through best practices for structuring a Python project like a pro!

1. Follow a Standard Project Structure

A well-structured project typically follows this layout:

my_project/
│-- my_project/         # Source code
│   ├── __init__.py     # Makes this a package
│   ├── main.py         # Entry point of the application
│   ├── utils.py        # Utility/helper functions
│   ├── config.py       # Configuration settings
│   ├── models.py       # Database models (if applicable)
│   ├── services.py     # Business logic
│   ├── tests/          # Unit tests
│-- docs/               # Documentation
│-- scripts/            # Utility scripts
│-- requirements.txt    # Dependencies
│-- .gitignore          # Ignore unnecessary files…