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Hypermodern Python tooling : building reliable workflows for an evolving Python ecosystem / Claudio Jolowicz.

By: Material type: TextTextLanguage: English Sebastopol : O'Reilly Media, 2024Edition: First editionDescription: 247 pages. illustrations, 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781098139582
Subject(s):
LOC classification:
  • QA76.73 .P98 J65 2024
Summary: 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, GitHub Actions, Dependabot, pytest, mypy, pre-commit, Black, Ruff, and more. Author Claudio Jolowicz shows you how to create robust Python project structures complete with unit tests, static analysis, code formatting, type checking, and documentation as well as continuous integration and delivery.
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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, GitHub Actions, Dependabot, pytest, mypy, pre-commit, Black, Ruff, and more. Author Claudio Jolowicz shows you how to create robust Python project structures complete with unit tests, static analysis, code formatting, type checking, and documentation as well as continuous integration and delivery.

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