Backto Python Index.
1. 安装 Installation
官网,
国内镜像源
清华最方便,
            
              conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/
# 显示源地址
conda config --set show_channel_urls yes
            
          
          
            但是清华园因版权问题中间关闭过,
            
             , 备选 中科大源
          
            
              conda config --add channels https://mirrors.ustc.edu.cn/anaconda/pkgs/main/
conda config --add channels https://mirrors.ustc.edu.cn/anaconda/pkgs/free/
conda config --add channels https://mirrors.ustc.edu.cn/anaconda/cloud/conda-forge/
conda config --add channels https://mirrors.ustc.edu.cn/anaconda/cloud/msys2/
conda config --add channels https://mirrors.ustc.edu.cn/anaconda/cloud/bioconda/
conda config --add channels https://mirrors.ustc.edu.cn/anaconda/cloud/menpo/
conda config --set show_channel_urls yes
            
          
          随系统启动 Open/Close
            
              conda config --set auto_activate_base false
            
          
          2. 常用指令
            
              
                # create env
              
              
conda create 
              
                -
              
              
                -
              
              name
              
                =
              
              xxx python
              
                =
              
              
                3.6
              
              
                # list all available envs
              
              
conda info 
              
                -
              
              e
              
                # activate env
              
              
conda activate xxx
              
                # deactivate env
              
              
conda deactivate
              
                # list all packages in current env
              
              
conda 
              
                list
              
              
                # install a new package
              
              
conda install pytorch
              
                =
              
              
                0.4
              
              
                .0
              
               cuda92 
              
                -
              
              c pytorch 
              
                # to clone an env
              
              
conda create 
              
                -
              
              
                -
              
              name
              
                =
              
              AAA 
              
                -
              
              
                -
              
              clone
              
                =
              
              BBB
              
                # to delete an env
              
              
conda env remove 
              
                -
              
              n ENV_NAME
            
          
          3. 关键包的安装
            
              
                # mostly used
              
              
conda 
              
                install
              
               numpy scipy pandas matplotlib pillow
              
                # to install tensorboardx
              
              
conda 
              
                install
              
               -c conda-forge tensorboardx 
              
                # to install easydict
              
              
conda 
              
                install
              
               -c conda-forge easydict 
            
          
          
            不要使用 
            
              conda install opencv
            
            ,因为安装内容不全,比如VideoCapture 读视频都不行。使用 
            
              pip
            
          
            
              pip 
              
                install
              
               opencv-python opencv-contrib-python
            
          
          
            不要使用 
            
              conda install tensorflow-gpu
            
            , 因为官方不给版本更新。使用 
            
              pip
            
          
            
              pip 
              
                install
              
               tensorflow-gpu
            
          
          4. Env 组织
按版本组织
            
              -pyVvv_base(clean)
	- pyVvv_base_cv(numpy, scipy, opencv, matplotlib, )
            
          
          Ref
- Anaconda使用总结暨部署python2和python3共存
 - Anaconda多环境多版本python配置指导
 

