Anaconda Python:删除 pkgs 中的 .tar.gz

Anaconda Python: Delete .tar.gz in pkgs(Anaconda Python:删除 pkgs 中的 .tar.gz)

问题描述

在C:UsersusernameAppDataLocalcondapkgs中删除*.tar.gz文件会不会有问题?我还看到相同 Python 包的 Python 子目录，但版本不同(例如，pandas-0.19.2-np111py27_1、pandas-0.19.2-np111py35_1、<代码>pandas-0.20.1-np112py27_0、pandas-0.20.1-np112py35_0、pandas-0.20.1-np112py36_0、pandas-0.20.2-np112py27_0、pandas-0.20.2-np112py36_0、pandas-0.20.2-np113py36_0).我目前有两个环境(Python 2.7 和 3.6)，所以我不想浪费同一个包的不同版本的存储空间，或者我目前没有使用的 Python 版本(我在这里说的是 GB！).是否有删除这些文件/目录的正确方法(这样做是否有问题)?

Would it be a problem to delete *.tar.gz files in C:UsersusernameAppDataLocalcondapkgs? I also see subdirectories of Python of the same Python package, but in different versions (e.g., pandas-0.19.2-np111py27_1, pandas-0.19.2-np111py35_1, pandas-0.20.1-np112py27_0, pandas-0.20.1-np112py35_0, pandas-0.20.1-np112py36_0, pandas-0.20.2-np112py27_0, pandas-0.20.2-np112py36_0, pandas-0.20.2-np113py36_0). I currently have two environments (Python 2.7 and 3.6), so I don't want to be wasting storage with different versions of the same package, or for Python versions I'm not currently using (I'm talking GB here!). Is there a proper way of deleting those files/directories (and is there a problem in doing that)?

推荐答案

您可以在终端中运行 conda clean --tarballs.

You can run conda clean --tarballs in your terminal.

https://conda.io/docs/commands/conda-clean.html

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