下载 anaconda
官网
https://repo.anaconda.com/archive/
国内镜像
https://mirrors.bfsu.edu.cn/anaconda/archive/
https://mirrors.xjtu.edu.cn/anaconda/archive/
https://mirror.bjtu.edu.cn/anaconda/archive/
https://mirrors.hit.edu.cn/anaconda/archive/
https://mirrors.aliyun.com/anaconda/archive/?spm=a2c6h.25603864.0.0.2da34eb925S2Ym
# 以清华源的Anaconda3-2022.10-Linux-x86_64展示
wget https://mirrors.bfsu.edu.cn/anaconda/archive/Anaconda3-2022.10-Linux-x86_64.sh
安装 anaconda
sudo sh Anaconda3-2022.10-Linux-x86_64.sh
# Please, press ENTER to continue -> 回车继续
# Do you accept the license terms? [yes|no] -> 同意协议输入yes回车
# 待安装结束
变量环境
普通用户
sudo vim ~/.bashrc
# 下面的添加到bashrc文件的末尾添加
# anaconda环境
export PATH=/home/ahtelek/anaconda3/bin:$PATH
超级用户
sudo vim /etc/profile
# 下面的添加到profile文件的末尾添加
# anaconda环境
export PATH=/home/ahtelek/anaconda3/bin:$PATH
sudo vim /root/.bashrc
# 在文件的末尾添加
source /etc/profile
配置生效
source ~/.bashrc
source /root/.bashrc
配置国内源
普通用户
conda config --set show_channel_urls yes
vim ~/.condarc
# 复制到.condarc文件
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
超级用户
sudo su
conda config --set show_channel_urls yes
vim ~/.condarc
# 复制到.condarc文件
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
测试
# 清除索引缓存
conda clean -i
conda create -n name