Conda 学习笔记

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conda create -n <env_name> python=<python_version>

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conda create -n <env_name B> --clone <env_name A>

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conda remove -n <env_name> --all

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conda activate <env_name>

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# 退出当前环境，回到base
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conda deactivate
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# 或者激活环境缺省时，默认激活base环境
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conda activate

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#获得环境中的所有配置
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conda env export --name <env_name> > <env_name>.yml
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#重新还原环境
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conda env create -f <env_name>.yml

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conda env list

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# 查询当前Anaconda repository中是否有你想要安装的包
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conda search <package_name>
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# 查询是否有安装某个包
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conda list <package_name>

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conda install <package_name>
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conda install <package_name>=<package_version>
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conda install <package_name> -c <channel_name>

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conda remove <package_name>
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conda remove <package_name> -y