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NumPy

The fundamental package for scientific computing with Python. NumPy provides multi-dimensional array objects, various derived objects, and an assortment of routines for fast operations on arrays, including mathematical, logical, shape manipulation, sorting, selecting, I/O, FFT, and random number generation.

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Data ScienceMachine LearningNumerical AnalysisOpen SourcePython LibraryScientific Computing

APIs

NumPy API

Core numerical computing library for Python providing multi-dimensional arrays and mathematical functions.

Resources

🔗
Website
Website
🔗
Documentation
Documentation
👥
GitHub Organization
GitHub Organization
📄
Change Log
Change Log

Sources

apis.yml Raw ↑
aid: numpy
name: NumPy
description: >-
  The fundamental package for scientific computing with Python. NumPy provides
  multi-dimensional array objects, various derived objects, and an assortment of
  routines for fast operations on arrays, including mathematical, logical, shape
  manipulation, sorting, selecting, I/O, FFT, and random number generation.
type: Index
image: https://kinlane-productions.s3.amazonaws.com/apis-json/apis-json-logo.jpg
tags:
  - Data Science
  - Machine Learning
  - Numerical Analysis
  - Open Source
  - Python Library
  - Scientific Computing
url: https://raw.githubusercontent.com/api-evangelist/numpy/refs/heads/main/apis.yml
created: '2024-01-01'
modified: '2026-04-28'
specificationVersion: '0.19'
apis:
  - aid: numpy:numpy-api
    name: NumPy API
    description: >-
      Core numerical computing library for Python providing multi-dimensional
      arrays and mathematical functions.
    humanURL: https://numpy.org/doc/stable/reference/
    tags:
      - Arrays
      - Mathematics
      - Python
      - Scientific Computing
    properties:
      - type: Documentation
        url: https://numpy.org/doc/stable/
      - type: Reference
        url: https://numpy.org/doc/stable/reference/
      - type: Getting Started
        url: https://numpy.org/doc/stable/user/quickstart.html
common:
  - type: Website
    url: https://numpy.org/
  - type: Documentation
    url: https://numpy.org/doc/stable/
  - type: GitHub Organization
    url: https://github.com/numpy
  - type: Change Log
    url: https://numpy.org/doc/stable/release.html
maintainers:
  - FN: Kin Lane
    email: [email protected]