Linux下装anaconda

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

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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。

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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

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参考：

https://zhuanlan.zhihu.com/p/123921247

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