Difference between revisions of "Anaconda"
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− | Then log out and log back in. Run <code>conda --help</code> and you should have it installed. | + | When asked whether to update your shell profile to automatically initialize conda, type yes. Then log out and log back in. Run <code>conda --help</code> and you should have it installed. |
For <code>bash</code> shells, ensure that your <code>.bashrc</code> is configured to run in your <code>.bash_profile</code>: | For <code>bash</code> shells, ensure that your <code>.bashrc</code> is configured to run in your <code>.bash_profile</code>: |
Latest revision as of 15:24, 10 October 2023
Anaconda is a Python environment manager so users can manage and install their own versions of python and packages.
The following are recommended steps for installing Anaconda within your account on the CS server. For student accounts, this should only be done if your instructor has told you to do so (since the installation does take up some space, we don't want it installed on every account on the system).
Install Steps
Basic install instructions: https://docs.conda.io/projects/conda/en/latest/user-guide/install/linux.html
Run:
# within bash... # check archive for latest version, and update the file variable accordingly # https://repo.anaconda.com/archive/ base_url="https://repo.anaconda.com/archive" file="Anaconda3-2023.09-0-Linux-x86_64.sh" mkdir -p ~/Downloads cd ~/Downloads wget $base_url/"$file" chmod +x "$file" ./"$file"
When asked whether to update your shell profile to automatically initialize conda, type yes. Then log out and log back in. Run conda --help
and you should have it installed.
For bash
shells, ensure that your .bashrc
is configured to run in your .bash_profile
:
### ~/.bash_profile if [ -f ~/.bashrc ]; then . ~/.bashrc fi
Turn off auto-loading of conda base environment when you login:
# From command line: conda config --set auto_activate_base false # Then to turn conda environment on or off run: conda activate # or conda deactivate