Creating Python Packages and Publishing to PyPI

Transform Your Python Code into Professional, Shareable Packages

Have you ever wanted to share your Python code with the world? Whether you're a developer looking to contribute to the open-source community, a data scientist wanting to distribute your analysis tools, or a professional aiming to standardize code across your organization, packaging your Python code is an essential skill.

"Creating Python Packages and Publishing to PyPI" is your comprehensive guide to transforming your Python scripts into professional, installable packages that anyone can use with a simple pip install. This hands-on guide walks you through the entire packaging workflow, from structuring your project to publishing on PyPI and maintaining your package over time.

What you'll learn:

• How to structure your Python project for optimal packaging
• Modern package configuration using pyproject.toml and setup.cfg
• Versioning strategies that communicate changes clearly to users
• Documentation techniques that make your package user-friendly
• Testing and quality assurance before releasing to the public
• Building distribution files and publishing to PyPI
• Automating releases with CI/CD pipelines
• Maintaining and promoting your package after release

This book bridges the gap between writing Python code and creating professional packages that follow best practices. Through practical examples, including building a calculator library from scratch, you'll gain hands-on experience with each step of the packaging process.

Why packaging matters:

• Make your code easily installable for others
• Enable version control and dependency management
• Establish credibility in the Python community
• Improve code organization and reusability
• Create a foundation for collaborative development

Perfect for:

• Python developers looking to share their tools
• Open-source contributors wanting to publish their first package
• Data scientists who need to distribute analysis libraries
• Teams standardizing internal code distribution
• Anyone who has ever run pip install and wondered "How do I create that?"

What sets this book apart:

• Modern approaches: Focuses on current packaging standards (PEP 517/518) rather than legacy methods
• Practical examples: Contains working code samples and a complete calculator library project
• Complete workflow: Covers everything from initial setup to maintenance and promotion
• DevOps integration: Includes GitHub Actions workflows for automated testing and publishing
• Troubleshooting guidance: Addresses common pitfalls and how to overcome them

By the end of this book, you'll have the knowledge and confidence to package any Python project professionally and share it with the world. Your days of copying and pasting code between projects are

over—join the ranks of package maintainers who contribute to Python's vibrant ecosystem!

Ready to transform your Python code into professional, distributable packages? Get your copy today and start your packaging journey!

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