Prompt to Turn ChatGPT into a Python Packaging taste
Prompt to Turn ChatGPT into a Python Packaging taste is a verified PROMPT blueprint on Promptally in Coding & Software Engineering optimized for leading AI models. High-performance Prompt to Turn ChatGPT into a Python Packaging taste prompt blueprint. Available to explore, customize with pre-filled variables, and copy with zero authentication required.
Technical Specifications
| Specification | Value |
|---|---|
| Artifact type | PROMPT (Coding & Software Engineering) |
| Compatible engines | Universal / Model Agnostic |
| Input variables | None (pre-filled) |
| Approximate tokens | 448 |
| Source file | prompt-prompt-to-turn-chatgpt-into-a-python-packaging-taste.md |
| Access tier | Free public (MIT) |
Pre-Filled Template
# 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
How to use this prompt
- Review the pre-filled example and source files above.
- Copy the template or download
prompt-prompt-to-turn-chatgpt-into-a-python-packaging-taste.md, then use it in your model, IDE, or workflow tool. - Compare your result with the sample output when one is provided.
Frequently Asked Questions
How do I use Prompt to Turn ChatGPT into a Python Packaging taste?
Open the prompt on Promptally, review the pre-filled example, then copy the template or download prompt-prompt-to-turn-chatgpt-into-a-python-packaging-taste.md and paste it into your model, IDE or workflow tool. Prompt to Turn ChatGPT into a Python Packaging taste is a static blueprint with no dynamic variables. Copy it and use it as-is.
Is Prompt to Turn ChatGPT into a Python Packaging taste free?
Yes. Prompt to Turn ChatGPT into a Python Packaging taste is free to view, copy and download on Promptally without creating an account. It is published under the MIT license.
What variables does Prompt to Turn ChatGPT into a Python Packaging taste need?
Prompt to Turn ChatGPT into a Python Packaging taste is a static blueprint with no dynamic variables. Copy it and use it as-is.