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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.toml and PEP 621 metadata
  • Includes a clean package layout with tests
  • Depends on numpy and pandas
  • 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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