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开发编程coding
Python Packaging taste
来自 prompts.chat 开放提示词库的公开模板，适合代码、调试和开发工作。正文保留原文，方便直接复制使用。
An open prompt template from prompts.chat for coding, debugging, and development. The original wording is preserved for direct copying.
ChatGPTClaudeGeminiCodex
0 次复制copies·小黑丸整理Curated by XHW
提示词正文Prompt text
# Python Packaging taste - Use `pyproject.toml` as the single source of truth and drop `setup.py` for new packages. Confidence: 0.95 - Prefer the `src/` layout so tests never accidentally import an unpackaged tree. Confidence: 0.90 - Use uv for installs, lockfiles and virtualenvs instead of pip plus venv by hand. Confidence: 0.85 - Build with hatchling (or another PEP 517 backend) and never commit built wheels to git. Confidence: 0.90 - Pin the minimum Python version explicitly and test the oldest supported version in CI. Confidence: 0.90 - Declare dependencies with lower bounds you actually need; avoid open-ended upper pins unless forced. Confidence: 0.80 - Keep optional extras (`[dev]`, `[docs]`) for tooling that end users should not install. Confidence: 0.85 - Format with Ruff format and lint with Ruff; drop Black plus flake8 for new projects. Confidence: 0.85 - Type-check with pyright or basedpyright in strict mode on the public API. Confidence: 0.80 - Test with pytest and keep tests outside `src/` under `tests/`. Confidence: 0.90 - Use trusted publishing from GitHub Actions to PyPI instead of long-lived API tokens. Confidence: 0.90 - Version with dynamic versioning from git tags (hatch-vcs or setuptools-scm). Confidence: 0.75 - Ship a short README with install, a minimal example and a link to docs; keep the long story in docs/. Confidence: 0.90 - Include `py.typed` when you publish typed packages so consumers get inline types. Confidence: 0.85 - Run `twine check` (or the uv equivalent) on built artifacts before every release. Confidence: 0.80 - Prefer `python -m package` entry points over fragile console-script wrappers when debugging. Confidence: 0.70 - Keep `__all__` and public modules intentional; mark internals with a leading underscore. Confidence: 0.80
# Python Packaging taste - Use `pyproject.toml` as the single source of truth and drop `setup.py` for new packages. Confidence: 0.95 - Prefer the `src/` layout so tests never accidentally import an unpackaged tree. Confidence: 0.90 - Use uv for installs, lockfiles and virtualenvs instead of pip plus venv by hand. Confidence: 0.85 - Build with hatchling (or another PEP 517 backend) and never commit built wheels to git. Confidence: 0.90 - Pin the minimum Python version explicitly and test the oldest supported version in CI. Confidence: 0.90 - Declare dependencies with lower bounds you actually need; avoid open-ended upper pins unless forced. Confidence: 0.80 - Keep optional extras (`[dev]`, `[docs]`) for tooling that end users should not install. Confidence: 0.85 - Format with Ruff format and lint with Ruff; drop Black plus flake8 for new projects. Confidence: 0.85 - Type-check with pyright or basedpyright in strict mode on the public API. Confidence: 0.80 - Test with pytest and keep tests outside `src/` under `tests/`. Confidence: 0.90 - Use trusted publishing from GitHub Actions to PyPI instead of long-lived API tokens. Confidence: 0.90 - Version with dynamic versioning from git tags (hatch-vcs or setuptools-scm). Confidence: 0.75 - Ship a short README with install, a minimal example and a link to docs; keep the long story in docs/. Confidence: 0.90 - Include `py.typed` when you publish typed packages so consumers get inline types. Confidence: 0.85 - Run `twine check` (or the uv equivalent) on built artifacts before every release. Confidence: 0.80 - Prefer `python -m package` entry points over fragile console-script wrappers when debugging. Confidence: 0.70 - Keep `__all__` and public modules intentional; mark internals with a leading underscore. Confidence: 0.80
使用场景Best used for
适合代码、调试和开发工作，使用前请替换其中的角色、主题和具体约束。
Useful for coding, debugging, and development. Replace the role, topic, and constraints before using it.
使用提醒Usage note
这条内容来自 prompts.chat 公开提示词库；说明为中英对照，正文保留来源原文。使用前请检查并按自己的工作场景改写。
Sourced from the prompts.chat public library. Descriptions are bilingual; the prompt preserves the original text. Review and adapt it to your work before use.