Configure pip domestic mirrors to speed up python third-party library installation~

The network these days is a bit unfriendly for developers, downloading anything is slow, pip install is slow, git clone is slow too, so frustrating...

Fortunately there are various alternative domestic mirror sources that can speed things up

Temporary Configuration

When using pip, add the parameter -i https://pypi.tuna.tsinghua.edu.cn/simple For example: pip install -i https://pypi.tuna.tsinghua.edu.cn/simple django, this will install the django library from Tsinghua's mirror, and it will be much faster.

Persistent Configuration

By modifying the configuration file, you can make pip use the specified mirror source every time you install.

Linux

On Linux, modify ~/.pip/pip.conf (if the path doesn't exist, you need to create the folder and file yourself) The content is as follows:

[global]
index-url = http://mirrors.aliyun.com/pypi/simple/
[install]
trusted-host=mirrors.aliyun.com

Windows

Windows configuration is a bit different from Linux. Just create a pip directory in the user directory, then create a new file pip.ini. (For example: C:\Users\Administrator\pip\pip.ini) The content is the same as above.

Common Domestic Mirror Sources

• Tsinghua - https://pypi.tuna.tsinghua.edu.cn/simple
• Alibaba Cloud - http://mirrors.aliyun.com/pypi/simple/
• University of Science and Technology of China - https://pypi.mirrors.ustc.edu.cn/simple/
• Huazhong University of Science and Technology: http://pypi.hustunique.com/
• Shandong University of Technology: http://pypi.sdutlinux.org/
• Douban: http://pypi.douban.com/simple/

Anaconda Configuration

Modify the ~/.condarc file

channels:
  - defaults
show_channel_urls: true
default_channels:
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2
custom_channels:
  conda-forge: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  msys2: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  bioconda: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  menpo: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  pytorch: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  pytorch-lts: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  simpleitk: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  # 如果需要使用其他第三方源（参考上方完整列表）
  # 例如 conda install -c pytorch-test，则可以添加
  #pytorch-test: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud

Reference - https://mirrors.tuna.tsinghua.edu.cn/help/anaconda/

The following is the old version

Configure USTC source

conda config --add channels https://mirrors.ustc.edu.cn/anaconda/pkgs/free/  
conda config --set show_channel_urls yes

Configure Tsinghua University source

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/
conda config --set show_channel_urls yes

If a mirror source website goes down, when switching sources remember to go to the user directory and delete the original Tsinghua mirrors under the .condarc folder.

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