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data-processing-utils
Advanced tools
An educational Python package to demonstrate the PyPI publishing process. This package serves as a learning tool for understanding how to create, build, and publish Python packages to the Python Package Index (PyPI).
hello() function for demonstrationpip install -r requirements.txt --require-hashespip install learning-pypi-demo-nisimi
For secure, hash-verified installation:
pip install -r requirements.txt --require-hashes
from learning_pypi_demo_nisimi import hello
# Basic usage
print(hello())
# Output: Hello, World! This is learning-pypi-demo-nisimi package.
# Personalized greeting
print(hello("Alice"))
# Output: Hello, Alice! This is learning-pypi-demo-nisimi package.
learning-pypi-demo-nisimi/
├── learning_pypi_demo_nisimi/
│ ├── __init__.py # Package initialization
│ └── core.py # Core functionality
├── setup.py # Setup configuration with custom install
├── pyproject.toml # Modern Python packaging configuration
├── requirements.txt # Hash-verified requirements
├── README.md # This file
├── LICENSE # MIT License
└── MANIFEST.in # Additional files for distribution
This package is designed as an educational tool for learning PyPI publishing. The custom installation message demonstrates how to extend the standard pip installation process.
python -m build
twine upload dist/*
This package demonstrates:
This project is licensed under the MIT License - see the LICENSE file for details.
This is an educational package. Feel free to fork and experiment with your own versions to learn about PyPI publishing!
nisimi
FAQs
A collection of awesome utility tools for Python developers
We found that data-processing-utils demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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