用默认的pip安装源pypi.python.org由于在国外经常会出现超时的问题,而且安装速度极其的慢,如下图中的超时问题=>

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" alt="" />

一、可通过以下方式解决。

cat  ~/.pip/pip.conf
[global]
timeout = 60 #设置超时时间
index-url = http://pypi.douban.com/simple #设置国内的镜像源,还有其他国内的源可以从网上进行搜索

二、

pip install salt-api==0.8.4.1
Collecting salt-api==0.8.4.1
The repository located at pypi.douban.com is not a trusted or secure host and is being ignored. If this repository is available via HTTPS it is recommended to use HTTPS instead, otherwise you may silence this warning and allow it anyways with '--trusted-host pypi.douban.com'.
根据上面的提示pip安装的时候加上后面的参数,如下:
pip install salt-api==0.8.4.1 --trusted-host pypi.douban.com
或通过requirements文件进行软件的批量安装
pip install -r requirements.txt --trusted-host pypi.douban.com
Requirement already satisfied (use --upgrade to upgrade): simplegeneric==0.8.1 in /root/python_dev/.pyenv/versions/2.7.1/lib/python2.7/site-packages (from -r requirements.txt (line 1))
Collecting singledispatch==3.4.0.3 (from -r requirements.txt (line 2))
  Downloading http://pypi.douban.com/packages/3.4/s/singledispatch/singledispatch-3.4.0.3-py2.py3-none-any.whl
。。。。。。。。。。
发现通过上面的方式速度快了很多,也没有上面出现的超时问题了

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