Mamba: Difference between revisions
No edit summary |
|||
| Line 23: | Line 23: | ||
mamba install pandas | mamba install pandas | ||
</syntaxhighlight> | </syntaxhighlight> | ||
== Package Managment == | |||
mamba install Installs one or more packages into the current active environment. mamba install numpy pandas | |||
mamba update Updates a specific package in the current environment. mamba update matplotlib | |||
mamba update --all Updates all packages in the current environment. mamba update --all | |||
mamba remove Removes a package from the current environment. mamba remove scikit-learn | |||
mamba list Lists all installed packages in the current active environment. mamba list | |||
mamba search Searches for available packages on Mamba's configured channels. mamba search tensorflow | |||
== Other Useful Commands == | == Other Useful Commands == | ||
Revision as of 14:55, 6 October 2025
Mamba is the new alternative to Conda. It functions similarly and is preinstalled on all Statistics & Data Science servers.
Installed at...
/opt/miniforge3/bin/mamba
Creating an Environment
1. Create a new Python environment by logging into a server and running the "create" command.
mamba create -n testenv1 python=3.112. Activate the environment.
mamba activate testenv13. Install packages to the environment.
mamba install pandasPackage Managment
mamba install Installs one or more packages into the current active environment. mamba install numpy pandas mamba update Updates a specific package in the current environment. mamba update matplotlib mamba update --all Updates all packages in the current environment. mamba update --all mamba remove Removes a package from the current environment. mamba remove scikit-learn mamba list Lists all installed packages in the current active environment. mamba list mamba search Searches for available packages on Mamba's configured channels. mamba search tensorflow
Other Useful Commands
List all environments.
mamba env list