Publishing Python Packages Av Dane Hillard

Create Python packages to share your code in a scalable and maintainable way. Improve team productivity, publish helpful libraries, or even start your own open source project following the latest Python packaging standards. In Publishing Python Packagesyou 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 bandit, black, mypy, and radon 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 Packagesteaches 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. 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. about the technology Python packages are a great way to share your code and give a productivity boost to your colleagues and community. Whether you’re reusing your code internally or contributing to open source, a properly automated system of packaging will save you from time-consuming manual maintenance. about the book Publishing Python Packagesreveals best practices and standards for packaging your Python code in an easy, automated, and scalable way. The 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. You’ll get hands-on experience with the latest packaging tools, and learn the ins-and-outs of package testing and continuous integration. You’ll even learn how to set up a successful open source project, including licensing, documentation, and nurturing a community of contributors.