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My computer memory is nearly out of space, and in going through large packages to clean space I realized that I have miniconda3, taking up 5.71GB, and anaconda3, taking up 4.13GB. I probably did this a few years ago while mindlessly following install instructions for a class. At this point, I understand the merits/drawbacks of each distribution if I were to choose now which one I'd like to install, but I am not sure what exactly would happen if I delete one of these. Any pointers/advice would be appreciated. Thanks!

Samantha Daugherty
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2 Answers2

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Uninstall anaconda3

macOS:

1.

Open the macOS Terminal.app or iTerm2 terminal application, and then remove your entire Anaconda directory, which has a name such as anaconda2, anaconda3, or ~/opt. Enter rm -rf ~/anaconda3 to remove the directory.

OR:

Install the Anaconda-Clean package from Anaconda Prompt (terminal on Linux or macOS):

conda install anaconda-clean In the same window, run one of these commands:

Remove all Anaconda-related files and directories with a confirmation prompt before deleting each one:

anaconda-clean Or, remove all Anaconda-related files and directories without being prompted to delete each one:

anaconda-clean --yes Anaconda-Clean creates a backup of all files and directories that might be removed in a folder named .anaconda_backup in your home directory. Also note that Anaconda-Clean leaves your data files in the AnacondaProjects directory untouched. After that has been done, go ahead and do option 1.

Uninstall minconda

From this post by rth: In order to uninstall miniconda, simply remove the miniconda folder,

rm -rf ~/miniconda/

Note: You can use the same directions as anaconda to uninstall miniconda

Removing Anaconda/miniconda path from .bash_profile

If you use Linux or macOS, you may also wish to check the .bash_profile file in your home directory for a line such as:

export PATH="/Users/jsmith/anaconda3/bin:$PATH"
# replace that with your path to anaconda
neuops
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You can export the environment variables before delete any one of them. Export the environment variables allows you to restore the environment in case you need it.

https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html

aalmeida
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