Mamba

Mamba is a free alternative to Conda. It functions similarly and is preinstalled on all Statistics & Data Science servers. All of your created environments are accessible on every server, regardless of the server your created it on.

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=3.11

2. Activate the environment.

mamba activate testenv1

3. Install packages to the environment.

mamba install pandas

Run a script using an environment.

mamba run -n testenv1 python analyze.py

List all environments.

mamba env list

Package Management

Useful package management commands.

Command	Purpose	Example
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 numpy
mamba update --all	Updates all packages in the current environment.	mamba update --all
mamba remove	Removes a package from the current environment.	mamba remove numpy pandas
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

Maintenance and Configuration

Commands to view mamba configuration and clean system resources.

Command	Purpose	Example
mamba clean	Removes unused packages, caches, and tarballs to free up disk space. Use this frequently!	mamba clean --all
mamba config list	Shows the entire Mamba configuration.	mamba config list
mamba config sources	Shows the location of all configuration files (.condarc).	mamba config sources