Skip to main content

A simple Python package that bundles pandas, numpy, matplotlib, and scikit-learn under one unified namespace.

Project description

NPMS - Unified Data Science Package

A simple Python package that bundles pandas, numpy, matplotlib, and scikit-learn under one unified namespace.

Installation

pip install -e .

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, 4], [1, 4, 9, 16])
xlabel = plt.xlabel
ylabel = plt.ylabel
title = plt.title
ns.xlabel('X')
ns.ylabel('Y')
ns.show()

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

Features

  • Single import for all major data science libraries
  • Simplified namespace (use ns. for everything)
  • Automatically installs dependencies via pip (pandas, numpy, matplotlib, scikit-learn)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

npms-0.1.2.tar.gz (2.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

npms-0.1.2-py3-none-any.whl (2.0 kB view details)

Uploaded Python 3

File details

Details for the file npms-0.1.2.tar.gz.

File metadata

  • Download URL: npms-0.1.2.tar.gz
  • Upload date:
  • Size: 2.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.2

File hashes

Hashes for npms-0.1.2.tar.gz
Algorithm Hash digest
SHA256 d6ea75613b09f9cee3fdb0bf9f10c4ac004a906f99a576cbbf3d8561aceaa675
MD5 e1ba0e809d0c85a8b25089db5b88b2e6
BLAKE2b-256 89f15ba3d29c7921e8e7894a07873535b276432c3a75d3f1c5f4bf51c042f361

See more details on using hashes here.

File details

Details for the file npms-0.1.2-py3-none-any.whl.

File metadata

  • Download URL: npms-0.1.2-py3-none-any.whl
  • Upload date:
  • Size: 2.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.2

File hashes

Hashes for npms-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 a2209e5c414268b9007d13d5afc74cb48682312e93e6ea75ebf78aed66be5548
MD5 8440fed79dc75288f2ca5ab5bfb25efa
BLAKE2b-256 0177100e2db5f423fb53560399e4688c4182e28314ee708863b42eb1c48cd180

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page