Publishing Python Packages: Test, share, and automate your projects, Dane Hillard

Create masterful, maintainable Python packages! This book includes pro tips for design, automation, testing, deployment, and even release as an open source project!

In

Publishing Python Packages

you will learn how to:

Build extensions and console script commands

Use tox to automate packaging, installing, and testing

Build a continuous integration pipeline using GitHub Actions

Improve code quality and reduce manual review using black, mypy, and flake8

Create published documentation for your packages

Keep packages up to date with pyupgrade and Dependabot

Foster an open source community using GitHub features

Publishing Python Packages

teaches you how to easily share your Python code with your team and the outside world. Learn a repeatable and highly automated process for package maintenance that’s based on the best practices, tools, and standards of Python packaging. This book walks you through creating a complete package, including a C extension, and guides you all the way to publishing on the Python Package Index. Whether you’re entirely new to Python packaging or looking for optimal ways to maintain and scale your packages, this fast-paced and engaging guide is for you.

Foreword by David Beazley.

About the technology

Successful Python packages install easily, run flawlessly, and stay reliably up to date. Publishing perfect Python packages requires a rigorous process that supports systematic testing and review, along with excellent documentation. Fortunately, the Python ecosystem includes tools and techniques to automate package creation and publishing.

About the book

Publishing Python Packages

presents a practical process for sharing Python code in an automated and scalable way. Get hands-on experience with the latest packaging tools, and learn the ins and outs of package testing and continuous integration. You’ll even get pro tips for setting up a maintainable open source project, including licensing, documentation, and nurturing a community of contributors.

What's inside

Build extensions and console script commands

Improve code quality with automated review and testing

Create excellent documentation

Keep packages up to date with pyupgrade and Dependabot

About the reader

For intermediate Python programmers.

About the author

Dane Hillard

has spent the majority of his development career using Python to build web applications.

Table of Contents

PART 1 FOUNDATIONS

1 The what and why of Python packages

2 Preparing for package development

3 The anatomy of a minimal Python package

PART 2 CREATING A VIABLE PACKAGE

4 Handling package dependencies, entry points, and extensions

5 Building and maintaining a test suite

6 Automating code quality tooling

PART 3 GOING PUBLIC

7 Automating work through continuous integration

8 Authoring and maintaining documentation

9 Making a package evergreen

10 Scaling and solidifying your practices

11 Building a community

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