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duanbiao2000
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python-packaging

Create and publish Python packages with pyproject.toml to PyPI.

3|1|Updated Feb 3, 2026
Search Tags:#publishing#python#packaging#poetry#setuptools#pyproject#wheel
One-click install
npx skills add https://github.com/duanbiao2000/obsidianDoc26 --skill python-packaging-duanbiao2000
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: python-packaging
Source: https://github.com/duanbiao2000/obsidianDoc26/tree/main/agents-main/plugins/python-development/skills/python-packaging
Command: npx skills add https://github.com/duanbiao2000/obsidianDoc26 --skill python-packaging-duanbiao2000

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill guides developers to create, structure, and publish Python packages, reducing manual setup and errors in packaging workflows.

Core Features & Use Cases

  • Package structure guidance: choose between source layout or flat layout and configure pyproject.toml.
  • Build & distribution: compare build backends (setuptools, hatchling, flit, poetry) and distribution formats (wheel, sdist).
  • Publish & versioning: instructions for PyPI and private registries, including metadata, classifiers, and versioning considerations.

Quick Start

Create a minimal Python package layout with a pyproject.toml and publish it to PyPI.

Frequently Asked Questions about python-packaging

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

FAQPage Schema
How do I package a Python project using pyproject.toml?▼

Packaging a Python project using pyproject.toml requires configuring a build backend like setuptools or poetry, defining project metadata, and generating wheel and source distributions for publishing.

What is the best way to publish a Python package to PyPI?▼

Publishing a Python package to PyPI involves building wheel and source distributions using PEP 517/518 standards and uploading them with project metadata and classifiers configured in pyproject.toml.

Should I use poetry or setuptools for Python packaging?▼

Choosing poetry or setuptools for Python packaging depends on workflow; poetry provides built-in dependency management, while setuptools is a traditional backend, both supporting modern pyproject.toml configuration and wheel generation.

When do I need a source layout versus a flat layout for Python packaging?▼

Choosing a source layout versus a flat layout for Python packaging prevents import errors during testing; source layouts separate package code from the root directory, while flat layouts keep them together.

Does Python packaging with pyproject.toml support private registries?▼

Python packaging with pyproject.toml supports private registries by configuring the publish step to upload generated wheel and source distributions to a specified private repository URL instead of the public PyPI index.

Why generate both a wheel and a source distribution for Python packaging?▼

Generating both a wheel and a source distribution for Python packaging ensures broad compatibility; wheels provide fast installation without compilation, while source distributions allow building from source on unsupported platforms.

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