A professional starter template for a PyPI-ready Python library.
Reason this release was yanked:
not good
Project description
Cv-Fruit-Ninja
Cv-Fruit-Ninja is a professional starter template for a PyPI-ready Python library built with modern setuptools packaging.
Features
- Uses
pyproject.tomland PEP 621 metadata - Includes a clean package layout with tests
- Depends on
numpyandpandas - Builds with
python -m build - Ready to publish to PyPI after updating the placeholder metadata
Installation
pip install cv-fruit-ninja
For local development:
pip install -e ".[dev]"
Example Usage
from cv_fruit_ninja import summarize_dataframe
summary = summarize_dataframe(
{
"sales": [1200, 1350, 1280],
"cost": [420, 460, 440],
}
)
print(summary)
CLI Usage
Run the installed command directly:
cv-fruit-ninja
Provide custom values:
cv-fruit-ninja --sales 1000 1400 1600 --cost 350 500 700
Build
python -m build
Publish to PyPI
python -m twine upload dist/*
Replace the placeholder author and email in pyproject.toml before publishing.
Project details
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