python-development-python-scaffold

Python Project Scaffolding

Skills Overview

Rapidly generate a production-ready Python project structure, supporting multiple project types such as FastAPI, Django, CLI tools, and Python libraries. Use modern tools like uv to automate project initialization.

Use Cases

Quickly Start an API Project

Set up a FastAPI or Django application from scratch. Automatically generate a complete project directory structure, configuration files, routing setup, and database models—greatly reducing the time spent on manual configuration.

Develop Python CLI Tools

Create command-line applications with built-in typer and rich support. Automatically configure entry points and command-line argument parsing, enabling fast development of user-friendly terminal tools.

Build Reusable Python Libraries

Scaffold a publishable Python package, including a types file (py.typed), test configuration, and publishing settings. Ensure the library project follows PyPI best practices.

Core Features

Smart Project Type Detection

Automatically select the appropriate project template based on your needs:
- FastAPI for REST APIs and asynchronous applications
- Django for full-stack web apps requiring admin/back-office management
- Library template for reusable package development

Modern Development Tool Integration

Pre-configure uv as the package manager, integrate ruff for code checking and formatting, set up the pytest testing framework, include pydantic-settings environment configuration management, and make everything ready to use out of the box.

Complete Project Structure Generation

Generate a standardized directory layout, including source code, tests, configuration files, an environment variables example, a Makefile, and a README. This ensures the project aligns with Python community best practices.

FAQ

What is Python project scaffolding?

Python project scaffolding is an automation tool that quickly generates a standardized Python project structure. It creates a sensible directory layout, configuration files, testing setup, and development tool configuration—so developers can skip repetitive initialization work and jump straight into business logic development.

How can I quickly create a Python project with uv?

Run uv init <project-name> to initialize a new project, then run uv venv to create a virtual environment. The scaffold automatically generates a pyproject.toml configuration file, including project dependencies and development tool settings. Compared to the traditional pip + venv approach, uv is faster and the configuration is more concise.

What are the differences between FastAPI and Django project templates?

The FastAPI template focuses on asynchronous API development. Its directory structure includes api, core, schemas, and services layers, making it suitable for microservices and RESTful APIs. The Django template provides a complete MTV architecture setup, includes an ORM and an admin backend, and is more appropriate for traditional web applications that need database management features.

What project types are not supported?

This scaffolding tool focuses on Python backend projects and does not include frontend framework configuration (e.g., React, Vue). For data science projects, machine learning model deployment, or Jupyter Notebook workflows, it’s recommended to use dedicated scientific computing template tools.