一个强大的N维数组对象
sophisticated (broadcasting) functions
tools for integrating C/C++ and Fortran code
有用的线性代数、傅立叶转换和随机数生成函数
NumPy v1.14.1 已发布，这是针对 1.14.0 版本报告的一些 bug 的修补版本。主要解决如下问题：
Problems with the new array printing, particularly the printing of complex values, Please report any additional problems that may turn up.
Problems with np.einsum due to the new optimized=True default. Some fixes for optimization have been applied and optimize=False is now the default.
The sort order in np.unique when axis=
The change in 1.14.0 that multi-field indexing of structured arrays returns a view instead of a copy has been reverted but remains on track for NumPy 1.15. Affected users should read the 1.14.1 Numpy User Guide section "basics/structured arrays/accessing multiple fields" for advice on how to manage this transition.
另外，需注意的是，本版本支持的 Python 版本是 2.7 以及 3.4 - 3.6 。在2019 年 1 月 1 日之后发布的新功能将只支持 Python 3。
软件详情：http://gitee.com/mirrors/NumPy
下载地址：https://github.com/numpy/numpy/releases/download/v1.14.1/numpy-1.14.1.tar.gz
来自:开源中国社区