Cleaning up your Anaconda installations (2024)

FAQs

How to clean up Anaconda environment? ›

Conda clean is a command-line function that removes unused packages and caches from your Conda environment. It's a handy tool for freeing up disk space and keeping your Conda environment tidy. The command has several options, including -p to remove unused packages, -t to remove tarballs, and -a to remove everything.

You can also use the anaconda-clean tool. Just open Terminal in your Mac and run these commands – conda install anaconda-clean and anaconda-clean or anaconda-clean –yes. To remove the entire Anaconda directory, you can run the command – rm -rf ~/anaconda3 in Terminal. To remove anaconda backups, run rm -rf ~/.

The uninstall procedure might leave behind certain artifacts, such as desktop shortcuts or supplementary files, that must be deleted manually after completion. This is a known issue that is being addressed.

Conda environments can take up a lot of disk space which can quickly fill up the /home disk. It is recommended that you create a directory on a data disk that has more disk space and create a symbolic link from the . conda directory so the environments will be stored on the data disk.

Yes, Anaconda can be a good choice for beginners in Python programming, especially those interested in data science and machine learning. Its comprehensive package management and pre-installed libraries simplify the setup process and allow beginners to focus on learning Python.

If you're maxing out your storage space, the most likely culprits are custom environments, which are all the environments you see in the Disk Manager. To gain more storage, delete these environments (and optionally download them for later use) or upgrade your subscription.

After the installation of Anaconda is complete, you can go to the Windows start menu and select the Anaconda Prompt. This opens the Anaconda Prompt. Anaconda is the Python distribution and the Anaconda Prompt is a command line shell (a program where you type in commands instead of using a mouse).

Use --all flag to remove all packages and the environment itself. This command will also remove any package that depends on any of the specified packages as well---unless a replacement can be found without that dependency.

anaconda-clean. This will run through the configuration files/directories on your system and give you the option to delete each one. Optional: To automatically delete all files and directories, run: anaconda-clean --yes.

What happens when you uninstall Anaconda? ›

A full uninstall removes all traces of the configuration files and directories from Anaconda and its programs with the anaconda-clean program (skip this and go to the Simple remove instructions if you can't do this). In Windows, open Anaconda Prompt.

Unlike many package managers, Anaconda's repositories generally don't filter or remove old packages from the index. This allows old environments to be easily recreated. However, it does mean that the index metadata is always growing, and thus conda becomes slower as the number of packages increases.

Where do Conda environments live? Environments created with conda , by default, live in the envs/ folder of your miniconda3 (or anaconda3 ) directory the absolute path to which will look something the following: /Users/$USERNAME/miniconda3/envs or C:\Users\$USERNAME\Anaconda3 .

Miniconda: Key Differences. The main difference between Anaconda and Miniconda lies in their size and the number of pre-installed packages. Anaconda is larger and comes with a vast array of pre-installed packages, while Miniconda is smaller and only includes Conda and Python.

the 'pkgs' directory is only a cache. You can remove it completely is you want to. for you, see "conda clean -h".

By default, the package cache is in your home directory ($HOME/. conda/pkgs). If installing a large amount of software that may cause the home directory quota to be exceeded, you can configure another directory to be the package cache by adding a pkgs_dirs list to the $HOME/. condarc file.