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portada Python Projects with uv and Ruff: A Step-by-Step Guide to Modern Python Packaging, Dependency Management, Testing, Typing, pyproject.toml, and CI/CD (en Inglés)
Formato
Libro Físico
Idioma
Inglés
N° páginas
225
Encuadernación
Tapa Blanda
ISBN13
9798160200347

Python Projects with uv and Ruff: A Step-by-Step Guide to Modern Python Packaging, Dependency Management, Testing, Typing, pyproject.toml, and CI/CD (en Inglés)

Miles, Dr. Quinn (Autor) · Independently published · Tapa Blanda

Python Projects with uv and Ruff: A Step-by-Step Guide to Modern Python Packaging, Dependency Management, Testing, Typing, pyproject.toml, and CI/CD (en Inglés) - Miles, Dr. Quinn

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Reseña del libro "Python Projects with uv and Ruff: A Step-by-Step Guide to Modern Python Packaging, Dependency Management, Testing, Typing, pyproject.toml, and CI/CD (en Inglés)"

Writing Python code is one thing. Turning that code into a clean, organized, testable, maintainable project can feel like an entirely different challenge. Virtual environments, dependencies, pyproject.toml, linting, testing, type checking, packaging, and CI/CD can quickly become overwhelming—especially when every tool seems to come with its own rules and commands. Python Projects with uv and Ruff brings those pieces together into one clear, practical workflow. Python_Projects_with_uv_and_Ruff You do not need previous experience with uv, Ruff, modern Python packaging, static type checking, or CI/CD. The book introduces these skills gradually through a continuous hands-on project. A basic understanding of Python syntax, functions, modules, and terminal commands is helpful, making this ideal for readers who know the fundamentals of Python but are new to professional development tooling. Python_Projects_with_uv_and_Ruff Instead of overwhelming you with theory, each chapter builds on the same working project so you can understand not just what to do, but why each step matters. Key FeaturesStep-by-step guidance using a continuous real-world Python project Practical commands and configuration introduced only when needed Modern workflows built around uv, Ruff, pytest, mypy, and pyproject.toml Clear explanations of dependency management and reproducible environments Hands-on packaging, testing, CI/CD, and release automation Practical migration guidance for older pip, venv, requirements, and Poetry workflows Troubleshooting checklists and verification steps throughout A learning approach that treats failed commands, broken tests, and configuration mistakes as normal parts of development—not reasons to give up Python_Projects_with_uv_and_Ruff What You Will LearnYou will learn how to: Create and organize modern Python projects with uv Manage Python versions, dependencies, environments, and lockfiles Structure and maintain pyproject.toml Improve code quality with Ruff linting and formatting Build reliable test suites with pytest Add practical static typing with mypy Build wheels and source distributions Prepare and publish Python packages safely Automate testing and releases with GitHub Actions Migrate legacy Python projects to modern workflows Troubleshoot dependency, testing, packaging, and CI/CD problems Maintain a professional, reproducible development workflow over time Python_Projects_with_uv_and_Ruff Who This Book Is ForThis book is for Python learners, self-taught programmers, students, junior developers, and working developers who already understand basic Python but want to move beyond simple scripts and learn how real projects are structured, tested, packaged, automated, and maintained. Table of ContentsChapter 1: Modern Python Project Foundations Chapter 2: Dependencies, Environments, and Reproducibility Chapter 3: Structuring Projects with pyproject.toml Chapter 4: Code Quality with Ruff Chapter 5: Testing Python Projects with pytest Chapter 6: Practical Static Typing with mypy Chapter 7: Building and Distributing Python Packages Chapter 8: CI/CD with GitHub Actions Chapter 9: Migration, Troubleshooting, and Long-Term Maintenance Python_Projects_with_uv_and_Ruff If you are ready to move from simply writing Python code to building projects that are cleaner, more dependable, and easier to maintain, this book gives you a practical path forward—one manageable step at a time.

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