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Jolowicz C. - Hypermodern Python Tooling [2024, PDF/EPUB/MOBI, ENG] torrent


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Download Jolowicz C. - Hypermodern Python Tooling [2024, PDF/EPUB/MOBI, ENG] torrent




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Книги и журналы » Компьютерная литература » Программирование (книги)

Hypermodern Python Tooling

Год издания: 2024
Автор: Jolowicz C.

Издательство: O’Reilly
ISBN: 978-1-098-13958-2
Язык: Английский

Формат: PDF (conv)/ePub/mobi
Качество: Издательский макет или текст (eBook)
Интерактивное оглавление: Да
Количество страниц: 541 (439)

Описание: Keeping up with the Python ecosystem can be daunting. Its developer tooling doesn't provide the out-of-the-box experience native to languages like Rust and Go. When it comes to long-term project maintenance or collaborating with others, every Python project faces the same problem: how to build reliable workflows beyond local development while staying in sync with the evolving ecosystem.
With this hands-on guide, Python developers will learn how to forge the moving parts of a Python project into an easy-to-use toolchain, using state-of-the-art tools including Poetry, Nox, pytest, mypy, pre-commit, Black, Ruff, uv, Rye, Hatch, and more. Author Claudio Jolowicz shows you how to create robust Python project structures complete with unit tests, static analysis, code formatting, and type checking.
This book is a guide to modern Python developer tools— the programs that help you perform tasks such as:
• Managing Python installations on your system
• Installing third-party packages for your current project
• Building a Python package for distribution on a package repository
• Running a test suite repeatedly across multiple environments
• Linting and type checking your code to catch bugs
[spoiler="Примеры страниц (скриншоты)"]

[/spoiler]
[spoiler="Оглавление"]
Preface
Part I. Working with Python
Chapter 1. Installing Python
Chapter 2. Python Environments
Part II. Python Projects
Chapter 3. Python Packages
Chapter 4. Dependency Management
Chapter 5. Managing Projects with Poetry
Part III. Testing and Static Analysis
Chapter 6. Testing with pytest
Chapter 7. Measuring Coverage with Coverage.py
Chapter 8. Automation with Nox
Chapter 9. Linting with Ruff and pre-commit
Chapter 10. Using Types for Safety and Inspection
Index
About the Author
[/spoiler]

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