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1. 安裝 Installation

官網,

國內鏡像源

清華最方便，

            
              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/
# 顯示源地址
conda config --set show_channel_urls yes

            
          

但是清華園因版權問題中間關閉過，
, 備選 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

            
          

隨系統啟動 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. 關鍵包的安裝

            
              
                # 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 ,因為安裝內容不全，比如VideoCapture 讀視頻都不行。使用 pip

            
              pip 
              
                install
              
               opencv-python opencv-contrib-python

            
          

不要使用 conda install tensorflow-gpu , 因為官方不給版本更新。使用 pip

            
              pip 
              
                install
              
               tensorflow-gpu

            
          

4. Env 組織

按版本組織

            
              -pyVvv_base(clean)
	- pyVvv_base_cv(numpy, scipy, opencv, matplotlib, )


            
          

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Ref

• Anaconda使用總結暨部署python2和python3共存
• Anaconda多環境多版本python配置指導