Python 3 自带包安装管理器pip。例如安装django。
pip install django
该方法安装一般速度慢，很容易出现安装错误，不够完美。
下文将介绍使用清华大学安装源加速anaconda python 包安装速度。
以安装 numpy 为例。
#临时安装
pip install -i https://pypi.tuna.tsinghua.edu.cn/simple numpy
清华大学 anaconda 安装源设置方法如下。
修改 ~/.config/pip/pip.conf (Linux), %APPDATA%\pip\pip.ini (Windows 10) 或 $HOME/Library/Application Support/pip/pip.conf (macOS) (没有就创建一个)， 修改 index-url至tuna，例如
[global]
index-url = https://pypi.tuna.tsinghua.edu.cn/simple
pip 和 pip3 并存时，只需修改 ~/.pip/pip.conf。
清华大学也可以加速安装 anaconda 和部分 Conda 三方源。
#anaconda 官方安装源
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
# 设置搜索时显示通道地址
conda config --set show_channel_urls yes
#部分conda安装源
#Conda Forge
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge/
#msys2
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/msys2/
#bioconda
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/bioconda/
#menpo
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/menpo/
#pytorch
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/pytorch/
# for legacy win-64
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/peterjc123/
Anaconda 升级代码如下
C:\windows\system32>conda upgrade --all
Solving environment: done
## Package Plan ##
environment location: C:\ProgramData\Anaconda3
The following packages will be downloaded:
package | build
---------------------------|-----------------
pluggy-0.7.1 | py_0 14 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
blosc-1.14.2 | h6538335_0 1.7 MB https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
ipython-6.5.0 | py36_0 1.1 MB https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
pytest-3.7.0 | py36_0 329 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
conda-4.5.9 | py36_0 654 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
botocore-1.10.66 | py_0 2.7 MB https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
pyasn1-0.4.4 | py_0 46 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
boto3-1.7.66 | py_0 64 KB https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
------------------------------------------------------------
Total: 6.6 MB
The following packages will be UPDATED:
blosc: 1.14.0-h6538335_1 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge --> 1.14.2-h6538335_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
boto3: 1.7.65-py_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge --> 1.7.66-py_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
botocore: 1.10.65-py_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge --> 1.10.66-py_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
conda: 4.5.8-py36_1 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge --> 4.5.9-py36_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
ipython: 6.4.0-py36_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge --> 6.5.0-py36_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
pluggy: 0.6.0-py_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge --> 0.7.1-py_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
pyasn1: 0.4.3-py_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge --> 0.4.4-py_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
pytest: 3.6.4-py36_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge --> 3.7.0-py36_0 https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
Proceed ([y]/n)? y
Downloading and Extracting Packages
pluggy-0.7.1 | 14 KB | ###################################### | 100%
blosc-1.14.2 | 1.7 MB | ###################################### | 100%
ipython-6.5.0 | 1.1 MB | ###################################### | 100%
pytest-3.7.0 | 329 KB | ###################################### | 100%
conda-4.5.9 | 654 KB | ###################################### | 100%
botocore-1.10.66 | 2.7 MB | ###################################### | 100%
pyasn1-0.4.4 | 46 KB | ###################################### | 100%
boto3-1.7.66 | 64 KB | ###################################### | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
C:\windows\system32>conda upgrade --all
Solving environment: done
# All requested packages already installed.
C:\windows\system32>
参考链接：