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Automating Testing, Building & Deployment
Master automated workflows for your Python code with GitHub Actions for Python Projects. This practical guide covers automated testing, dependency management, coverage reports, documentation builds, and artifact generation to help you build reliable CI/CD pipelines effortlessly.
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$7.99
About the Book
GitHub Actions for Python Projects is a practical, developer-focused guide to automating Python project workflows with GitHub Actions. Instead of treating CI/CD as abstract DevOps theory, this technical capsule focuses on the workflow concepts developers actually need when building and maintaining real Python projects. You will work through practical examples covering automated testing, code coverage, documentation builds, artifact generation, and deployment-oriented workflows. The goal is not simply to explain GitHub Actions, but to show how its components fit together into a reliable and maintainable automation workflow. You will learn: 1. How GitHub Actions workflows are structured 2. How to configure Python environments in CI 3. How to install and manage project dependencies 4. How to automate testing with pytest 5. How to generate and use test coverage reports 6. How to build project documentation automatically 7. How to upload and preserve workflow artifacts 8. How to organize jobs and steps effectively 9. How to design a practical workflow execution order 10. How to build reusable CI patterns for real Python projects Whether you are building a small Python project, maintaining an open-source repository, or moving toward a more professional CI/CD workflow, this capsule provides a concise and practical foundation for integrating automation into your development process. The focus throughout the capsule is on implementation, workflow design, and reusable engineering patterns rather than lengthy theoretical discussions. A compact technical guide for developers who want to move from manually running project tasks to building reliable, automated workflows with GitHub Actions.
About the Author
Anas Ahmed Adawy is an independent author and tech enthusiast passionate about bridging the gap between theoretical science and practical coding. With a focus on applied mathematics, linear algebra, and machine learning, he creates beginner-friendly guides designed to help programmers and students master the core mechanics behind modern AI. His writing breaks down complex academic formulas into clear, actionable Python code.
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