Anaconda Mirror

Introduction

Anaconda (opens new window) is a free and open-source distribution of the Python and R programming languages for scientific computing (data science, machine learning applications, large-scale data processing, predictive analytics, etc.), that aims to simplify package management and deployment.

Configuration

You can run the following commands in your terminal:

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

Then a configuration file named .condarc will be created. And you can manually create the configuration file and edit it with your text editor:

channels:
  - defaults
show_channel_urls: true
default_channels:
  - https://mirrors.sustech.edu.cn/anaconda/pkgs/main
  - https://mirrors.sustech.edu.cn/anaconda/pkgs/free
  - https://mirrors.sustech.edu.cn/anaconda/pkgs/r
  - https://mirrors.sustech.edu.cn/anaconda/pkgs/pro
  - https://mirrors.sustech.edu.cn/anaconda/pkgs/msys2
custom_channels:
  conda-forge: https://mirrors.sustech.edu.cn/anaconda/cloud
  msys2: https://mirrors.sustech.edu.cn/anaconda/cloud
  bioconda: https://mirrors.sustech.edu.cn/anaconda/cloud
  menpo: https://mirrors.sustech.edu.cn/anaconda/cloud
  pytorch: https://mirrors.sustech.edu.cn/anaconda/cloud
  simpleitk: https://mirrors.sustech.edu.cn/anaconda/cloud
  nvidia: https://mirrors.sustech.edu.cn/anaconda-extra/cloud

Path of the per-user configuration file:

• Linux: $HOME/.condarc
• macOS: $HOME/.condarc
• Windows: C:\Users\<YourUserName>\.condarc

Using Anaconda at SUSTech HPC Cluster

Please refer to this link (opens new window).