npms 0.1.4

Unified Python package for data science - pandas, numpy, matplotlib, and scikit-learn under one import.

npms 📦

Unified Python package for data science — pandas, numpy, matplotlib, and scikit-learn under one single import.

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Install

pip install npms

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Usage

import npms as ns

# Pandas
df = ns.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})
print(df)

# NumPy
arr = ns.array([1, 2, 3, 4, 5])
print(ns.mean(arr))

# Matplotlib
ns.plot([1, 2, 3], [1, 4, 9])
ns.xlabel('X')
ns.ylabel('Y')
ns.show()

# Scikit-learn
from npms import linear_model
model = linear_model.LinearRegression()

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What's included

Library	Purpose
pandas	Data manipulation and analysis
numpy	Numerical computing
matplotlib	Data visualization
scikit-learn	Machine learning

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Features

• ✅ Single import for all major data science libraries
• ✅ Simplified namespace — use ns. for everything
• ✅ Auto-installs all dependencies
• ✅ Works on Windows, macOS, Linux

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License

MIT © 2026 tokitahmidtoufa