解决pip安装时速度慢的问题 镜像源（pip install -i [镜像源地址] [包名]）

更改pip源即可，修改为pip国内源：

新版ubuntu要求使用https源，要注意。

清华：https://pypi.tuna.tsinghua.edu.cn/simple
阿里云：http://mirrors.aliyun.com/pypi/simple/
中国科技大学 https://pypi.mirrors.ustc.edu.cn/simple/
华中理工大学：http://pypi.hustunique.com/
山东理工大学：http://pypi.sdutlinux.org/
豆瓣：http://pypi.douban.com/simple/

临时使用：

可以在使用pip的时候加参数-i https://pypi.tuna.tsinghua.edu.cn/simple

例如：pip install -i https://pypi.tuna.tsinghua.edu.cn/simple gevent，这样就会从清华这边的镜像去安装gevent库。

比如，我使用清华镜像源安装sklearn，贼快，贼猛！！！！

pip install -i https://pypi.tuna.tsinghua.edu.cn/simple sklearn

C:\Users\HuaWei>pip install -i https://pypi.tuna.tsinghua.edu.cn/simple sklearn
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting sklearn
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/1e/7a/dbb3be0ce9bd5c8b7e3d87328e79063f8b263b2b1bfa4774cb1147bfcd3f/sklearn-0.0.tar.gz
Collecting scikit-learn
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/21/d9/7da9d5afdf901ab069226853c84a432c5db80fd616849ebcee29fd8a04e0/scikit_learn-0.22.1-cp36-cp36m-win_amd64.whl (6.3MB)
     |████████████████████████████████| 6.3MB 6.8MB/s
Collecting joblib>=0.11
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/28/5c/cf6a2b65a321c4a209efcdf64c2689efae2cb62661f8f6f4bb28547cf1bf/joblib-0.14.1-py2.py3-none-any.whl (294kB)
     |████████████████████████████████| 296kB 6.8MB/s
Requirement already satisfied: scipy>=0.17.0 in d:\yolov3_tensorflow\python\lib\site-packages (from scikit-learn->sklearn) (1.1.0)
Requirement already satisfied: numpy>=1.11.0 in d:\yolov3_tensorflow\python\lib\site-packages (from scikit-learn->sklearn) (1.15.1)
Building wheels for collected packages: sklearn
  Building wheel for sklearn (setup.py) ... done
  Created wheel for sklearn: filename=sklearn-0.0-py2.py3-none-any.whl size=1321 sha256=97f825459ab15505b1fd6cab5ff19adf5acc286a367aa80f93cdfed5f4274e42
  Stored in directory: C:\Users\HuaWei\AppData\Local\pip\Cache\wheels\6f\cd\11\f6acd1062135d70bc0a7066808561580d256b3149055cb33ad
Successfully built sklearn
Installing collected packages: joblib, scikit-learn, sklearn
Successfully installed joblib-0.14.1 scikit-learn-0.22.1 sklearn-0.0
WARNING: You are using pip version 19.3.1; however, version 20.0.2 is available.
You should consider upgrading via the 'python -m pip install --upgrade pip' command.

C:\Users\HuaWei>

参考文章：解决pip install慢的方法