64位Windows上的NumPy for Python 2.7
内容导读
互联网集市收集整理的这篇技术教程文章主要介绍了64位Windows上的NumPy for Python 2.7,小编现在分享给大家,供广大互联网技能从业者学习和参考。文章包含1887字,纯文字阅读大概需要3分钟。
内容图文
参见英文答案 > Installing Numpy on 64bit Windows 7 with Python 2.7.3 [closed] 6个
我一直试图在Windows 64位上获得NumPy for Python 2.7,但是大家提到的页面http://www.lfd.uci.edu/~gohlke/pythonlibs/并没有在我的任何设备上打开.
还有其他地方我可以找到吗?
解决方法:
我建议使用WinPython,一个适用于Windows的Python 2.7发行版,包含32位和64位版本.
07.01由WinPython创建者解释为什么通常很难找到64位Windows NumPy:
According to experienced developers, there is no decent open-source (free) Fortran compiler for the Windows 64bit platform. As a consequence, it’s impossible to build NumPy or SciPy on this platform using only free and open-source tools. That’s why there is no official Windows 64bit binaries for these two libraries. The only ready-to-use installers available out there were prepared by Christoph Gohlke (using Intel Fortran compiler, a.k.a. ‘ifort’) and these are clearly unofficial binaries. Furthermore, Christoph has built two different installers for NumPy: one unoptimized and one optimized with the Intel Math Kernel Library (MKL), hence providing better performance. And Gohlke’s SciPy 64bit binary package (the only one available freely online) require NumPy MKL. The problem is that, according to Christoph Gohlke, the MKL license does not allow me (or anyone else) to redistribute these binaries, unless I have purchased such a license. It is still unclear to me if the end user would also require this license too. Hopefully no. Let’s assume that. Besides, after reading carefully the Intel MKL License terms, I’m quite sure that I can redistribute the MKL-based NumPy built because it’s just runtime redistribution. So I think I will purchase an Intel Fortran Compiler license (including MKL) to be able to rebuild NumPy and SciPy in the near future but in the meantime I will just redistribute the packages built by Christoph Gohlke.
内容总结
以上是互联网集市为您收集整理的64位Windows上的NumPy for Python 2.7全部内容,希望文章能够帮你解决64位Windows上的NumPy for Python 2.7所遇到的程序开发问题。 如果觉得互联网集市技术教程内容还不错,欢迎将互联网集市网站推荐给程序员好友。
内容备注
版权声明:本文内容由互联网用户自发贡献,该文观点与技术仅代表作者本人。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任。如发现本站有涉嫌侵权/违法违规的内容, 请发送邮件至 gblab@vip.qq.com 举报,一经查实,本站将立刻删除。
内容手机端
扫描二维码推送至手机访问。