# numpy

**Repository Path**: mirrors_njsmith/numpy

## Basic Information

- **Project Name**: numpy
- **Description**: Numpy main repository
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-08-19
- **Last Updated**: 2026-08-02

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

<div align="center">
  <img src="http://www.numpy.org/_static/numpy_logo.png"><br>
</div>

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|  **`Travis CI Status`**   |
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[![Travis](https://api.travis-ci.org/numpy/numpy.svg?branch=master)](https://travis-ci.org/numpy/numpy)|


NumPy is the fundamental package needed for scientific computing with Python.
This package contains:

   * a powerful N-dimensional array object
   * sophisticated (broadcasting) functions
   * tools for integrating C/C++ and Fortran code
   * useful linear algebra, Fourier transform, and random number capabilities.

It derives from the old Numeric code base and can be used as a replacement for Numeric. It also adds the features introduced by numarray and can be used to replace numarray.

More information can be found at the website:

* http://www.numpy.org

After installation, tests can be run (if ``nose`` is installed) with:

    python -c 'import numpy; numpy.test()'

The most current development version is always available from our
git repository:

* http://github.com/numpy/numpy