在https://www.anaconda.com/products/individual#Downloads下载https://repo.anaconda.com/archive/Anaconda3-2020.11-Linux-x86_64.sh ，或者在终端wget https://repo.anaconda.com/archive/Anaconda3-2020.11-Linux-x86_64.sh
下载完后，bash Anaconda3-5.3.1-Linux-x86_64.sh
source ~/.bashrc
conda --version # 查看conda版本
conda env list # 查看所有虚拟环境
conda create -n env_name python=3.7 # 创建虚拟环境
conda env remove -n env_name # 删除虚拟环境
conda activate env_name # 激活虚拟环境
conda deactivate # 退出虚拟环境
conda install package_name # 装包
conda uninstall package_name # 删包
换镜像源：
nano ~/.condarc
然后输入
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
simpleitk: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
然后运行conda clean -i清除索引缓存，保证用的是镜像站提供的索引。
有些包比较大要装很久，这样就不会中途connection failed：
conda config --set remote_read_timeout_secs 1000.0
参考：