Initialize Anaconda
出自 DDCC TCAD TOOL Manual
- 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