Jolowicz C Hypermodern Python Tooling Building Reliable Workflows 2024 Final | 4.3 MB
584 Pages
Title: Hypermodern Python Tooling (for Raymond Rhine)
Author: Claudio Jolowicz
Description:
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.
You’ll learn how to:
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.
You’ll learn how to:
- Create open source projects with state-of-the-art infrastructure
- Build a custom infrastructure for all Python projects in a company or team
- Improve and modernize the infrastructure of an existing Python project
- Evaluate modern Python tooling for adoption in existing projects
- Use tools for packaging and dependency management
- Automate common development tasks such as testing, dependency updates, and publishing releases
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