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python-project-structure

Guide Python project organization with module architecture and directory layouts.

38.6k|4.1k|Updated Jul 24, 2025
Search Tags:#best practices#project structure#python#code organization#module design#pythonic
One-click install
npx skills add https://github.com/wshobson/agents --skill python-project-structure-wshobson
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: python-project-structure
Source: https://github.com/wshobson/agents/tree/main/plugins/python-development/skills/python-project-structure
Command: npx skills add https://github.com/wshobson/agents --skill python-project-structure-wshobson

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the challenge of organizing Python codebases, ensuring clarity, maintainability, and adherence to best practices in project structure and module design.

Core Features & Use Cases

  • Project Layout Guidance: Provides recommended directory structures for new and existing projects.
  • Module Architecture: Offers patterns for designing cohesive modules and defining explicit public APIs using __all__.
  • Test Organization: Presents strategies for colocating or parallelizing test files.
  • Use Case: When starting a new Python library, use this Skill to establish a robust and scalable project structure that promotes maintainability and ease of collaboration.

Quick Start

Generate a standard Python project directory layout for a new application.

Frequently Asked Questions about python-project-structure

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is the best way to structure a Python project for maintainability?▼

The best way to structure a Python project is to use a clear directory layout with cohesive modules and explicit public APIs defined using __all__. This approach promotes maintainability and scalability across the codebase.

How do I organize Python modules and define a public API?▼

Organize Python modules by grouping related functionality into cohesive files, and define an explicit public API using the __all__ variable. This restricts imported names and clarifies which modules are intended for external use.

What is the recommended directory layout for a new Python application?▼

A recommended Python directory layout separates source code, tests, and configuration into distinct folders. Structuring projects this way establishes a robust foundation that eases collaboration and codebase navigation.

How should I organize test files in a Python project?▼

Organize Python test files by either colocating them with source modules or parallelizing the directory structure. Choosing a consistent test file organization strategy ensures scalable and maintainable code validation.

What are the best practices for Python file and module naming?▼

Python file and module naming best practices involve using clear, consistent conventions that reflect module design and import styles. Adhering to these pythonic practices improves code readability and import reliability.

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