檢視 Initialize Anaconda 的原始碼

# List environments ---------------
 $ conda env list

  
# Create environment with preinstalled packages ---------------
 $ conda create -n my_env numpy  #create my_env, install numpy
 $ conda create -n py2 python=2  #create py2, install python ver.=2
 $ conda create -n py3 python=3  #create py3, install python ver.=3
 $ conda env list 
 base               *    /Users/RAYMOND/anaconda3
 my_env                  /Users/RAYMOND/anaconda3/envs/my_env
 py2                     /Users/RAYMOND/anaconda3/envs/py2
 py3                     /Users/RAYMOND/anaconda3/envs/py3
                        /Users/RAYMOND/miniconda3       
  
 # Enter environment ---------------
 # * indicates which environment we are using
 $ source activate py2
 (py2) $ conda env list
 base                    /Users/RAYMOND/anaconda3
 my_env                  /Users/RAYMOND/anaconda3/envs/my_env
 py2                *    /Users/RAYMOND/anaconda3/envs/py2
 py3                     /Users/RAYMOND/anaconda3/envs/py3
                        /Users/RAYMOND/miniconda3
 (py2) $ python
 Python 2.7.14 |Anaconda, Inc.| (default, Mar 27 2018, 12:28:59)
 [GCC 4.2.1 Compatible Clang 4.0.1 (tags/RELEASE_401/final)] on darwin
 Type "help", "copyright", "credits" or "license" for more information.
 >>>


# Exit environment ---------------
 (py2) $ source deactivate


# Delete environment ---------------
 $ conda env remove -n my_env
 $ conda env remove -n py2
 $ conda env remove -n py3
 $ conda env list
 base               *    /Users/RAYMOND/anaconda3
 /Users/RAYMOND/miniconda3


管理套件

進入一個環境後，在開發過程中我們可能會發現有一些套件還需要安裝，可以採用以下的指令管理套件

    安裝套件 conda install pkg_name1 pkg_name2 ...
    安裝套件指定版本 conda install pkg_name=version_number
    移除套件 conda remove pkg_name
    更新套件 conda update pkg_name
    更新所有套件 conda update -all
    列出所有已安裝套件 conda list
    清除安裝後下載的原始檔 conda clean -tp
    找尋套件 conda search pkg_name

# Install package ---------------
conda install numpy
conda install numpy scipy pandas

# Install package with specific version number ---------------
conda install numpy=1.10

# Remove package ---------------
conda remove package_name

# Update package ---------------
conda update package_name

# Update all package ---------------
conda update --all

# List installed packages ---------------
conda list

# Clean up downloaded library ---------------
$ conda clean -tp 

# Search package ---------------
conda search package_name

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