NumPy是使用Python进行科学计算的基础软件包。它包含以下内容:
- 一个强大的N维数组对象
- 复杂(广播)功能
- 用于集成C/C ++和Fortran代码的工具
- 有用的线性代数,傅里叶变换和随机数能力
- 除了明显的科学用途,NumPy也可以作为通用数据的高效多维容器。 可以定义任意数据类型。 这使NumPy能够无缝地、快速地与各种数据库集成。
NumPy是使用Python进行科学计算的基础软件包。(NumPy is the fundamental package for scientific computing with Python.)
NumPy是使用Python进行科学计算的基础软件包。它包含以下内容:
Name With Owner | numpy/numpy |
---|---|
Primary Language | Python |
Program language | Python (Language Count: 12) |
Platform | |
License: | BSD 3-Clause "New" or "Revised" License |
Release Count | 210 |
Last Release Name | v1.23.1 (Posted on 2022-07-08 16:59:52) |
First Release Name | v0.2.0 (Posted on 2002-01-05 17:07:10) |
Created At | 2010-09-13 23:02:39 |
Pushed At | 2022-08-07 18:32:23 |
Last Commit At | 2021-02-28 09:58:54 |
Stargazers Count | 21.1k |
Watchers Count | 563 |
Fork Count | 7.2k |
Commits Count | 30.3k |
Has Issues Enabled | |
Issues Count | 10781 |
Issue Open Count | 2016 |
Pull Requests Count | 9044 |
Pull Requests Open Count | 215 |
Pull Requests Close Count | 2011 |
Has Wiki Enabled | |
Is Archived | |
Is Fork | |
Is Locked | |
Is Mirror | |
Is Private |
NumPy is the fundamental package needed for scientific computing with Python.
It provides:
Testing:
pytest
nose
Tests can then be run after installation with:
python -c 'import numpy; numpy.test()'
NumPy appreciates help from a wide range of different backgrounds.
Work such as high level documentation or website improvements are valuable
and we would like to grow our team with people filling these roles.
Small improvements or fixes are always appreciated and issues labeled as easy
may be a good starting point.
If you are considering larger contributions outside the traditional coding work,
please contact us through the mailing list.