conda - 技术栈

安装

下载地址

手动下载：官方地址：https://repo.anaconda.com/archive/index.html

服务器上直接下载：

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# 这里的Anaconda3-2021.05-Linux-x86_64.sh是在官网上选择好的conda的版本
wget -c https://repo.anaconda.com/archive/Anaconda3-2021.05-Linux-x86_64.sh

参考文章

linux conda环境安装-CSDN博客

安装

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# 一般正常yes，没什么意外情况

sh Anaconda3-2021.05-Linux-x86_64.sh

添加到环境变量

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# 编辑/etc/profile，并在末尾添加
export PATH=$PATH:${conda的安装位置}/bin

# 添加完保存再source /etc/profile，conda -V检查一下

############# 在脚本中 source ~/.bashrc #############

配置镜像

命令配置：

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# 命令示例
conda config --set show_channel_urls yes
conda config --add channels https://mirrors.aliyun.com/anaconda/pkgs/free

或者vim ~/.condarc

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# 提示这个无法访问时用下面的
channels:
  - http://mirrors.aliyun.com/anaconda/cloud/stackless
  - https://mirrors.aliyun.com/anaconda/cloud/simpleitk
  - https://mirrors.aliyun.com/anaconda/cloud/rdkit
  - https://mirrors.aliyun.com/anaconda/cloud/rapidsai
  - https://mirrors.aliyun.com/anaconda/cloud/qiime2
  - https://mirrors.aliyun.com/anaconda/cloud/pyviz
  - https://mirrors.aliyun.com/anaconda/cloud/pytorch3d
  - https://mirrors.aliyun.com/anaconda/cloud/pytorch-test
  - https://mirrors.aliyun.com/anaconda/cloud/pytorch
  - https://mirrors.aliyun.com/anaconda/cloud/psi4
  - https://mirrors.aliyun.com/anaconda/cloud/plotly
  - https://mirrors.aliyun.com/anaconda/cloud/omnia
  - https://mirrors.aliyun.com/anaconda/cloud/ohmeta
  - https://mirrors.aliyun.com/anaconda/cloud/numba
  - https://mirrors.aliyun.com/anaconda/cloud/msys2
  - https://mirrors.aliyun.com/anaconda/cloud/mordred-descriptor
  - https://mirrors.aliyun.com/anaconda/cloud/menpo
  - https://mirrors.aliyun.com/anaconda/cloud/matsci
  - https://mirrors.aliyun.com/anaconda/cloud/intel
  - https://mirrors.aliyun.com/anaconda/cloud/idaholab
  - https://mirrors.aliyun.com/anaconda/cloud/fermi
  - https://mirrors.aliyun.com/anaconda/cloud/fastai
  - https://mirrors.aliyun.com/anaconda/cloud/dglteam
  - https://mirrors.aliyun.com/anaconda/cloud/deepmodeling
  - https://mirrors.aliyun.com/anaconda/cloud/conda-forge
  - https://mirrors.aliyun.com/anaconda/cloud/caffe2
  - https://mirrors.aliyun.com/anaconda/cloud/c4aarch64
  - https://mirrors.aliyun.com/anaconda/cloud/bioconda
  - https://mirrors.aliyun.com/anaconda/cloud/biobakery
  - https://mirrors.aliyun.com/anaconda/cloud/auto
  - https://mirrors.aliyun.com/anaconda/cloud/Paddle
  - https://mirrors.aliyun.com/anaconda/pkgs/r
  - https://mirrors.aliyun.com/anaconda/pkgs/msys2
  - https://mirrors.aliyun.com/anaconda/pkgs/main
  - https://mirrors.aliyun.com/anaconda/pkgs/free
  
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 

# 设置搜索时显示通道
show_channel_urls: true

ssl_verify: true
allow_conda_downgrades: true

常用命令

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# 创建虚拟环境
conda create -n ${虚拟环境名称} ${python==3.7}
conda create -p ${安装路径}

# 激活环境
conda activate ${虚拟环境名称}

# 退出环境
conda deactivate

# 查看虚拟环境
conda info --envs

# 删除虚拟环境
conda remove -n name --all

# 删除所有的安装包及cache(索引缓存、锁定文件、未使用过的包和tar包)
conda clean -y --all

# 列出已创建的虚拟环境
conda env list

# 取消base的默认激活
conda config --set auto_activate_base false