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Mamba is the new alternative to Conda. It functions similarly and is preinstalled on all Statistics & Data Science servers.
 
[[Category:Containers and Virtual Environments]]
 
Mamba is the 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 you created it on.


Installed at...
Installed at...
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== Creating an Environment ==
== Creating an Environment ==


 
Create a new Python environment by logging into a server and running the "create" command.
1. Create a new Python environment by logging into a server and running the "create" command.
<syntaxhighlight lang="bash">
<syntaxhighlight lang="bash">
mamba create -n testenv1 python=3.11
mamba create -n testenv1 python=3.11
</syntaxhighlight>
</syntaxhighlight>


2. Activate the environment.
Activate the environment.
<syntaxhighlight lang="bash">
<syntaxhighlight lang="bash">
mamba activate testenv1
mamba activate testenv1
</syntaxhighlight>
</syntaxhighlight>


3. Install packages to the environment.
Install packages to the environment.
<syntaxhighlight lang="bash">
<syntaxhighlight lang="bash">
mamba install pandas
mamba install pandas
</syntaxhighlight>
Run a script using the environment.
<syntaxhighlight lang="bash">
mamba run -n testenv1 python analyze.py
</syntaxhighlight>
List all environments.
<syntaxhighlight lang="bash">
mamba env list
</syntaxhighlight>
</syntaxhighlight>


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|mamba search tensorflow
|mamba search tensorflow
|}
|}
== Other Useful Commands ==
List all environments.
<syntaxhighlight lang="bash">
mamba env list
</syntaxhighlight>


== Maintenance and Configuration ==
== Maintenance and Configuration ==
Commands to view mamba configuration and clean system resources.
Commands to view mamba configuration and clean system resources.
{| class="wikitable"
|+
!Command
!Purpose
!Eample
|-
|mamba clean --all
|Removes unused packages, caches, and tarballs to free up disk space. Use this frequently!
|
|-
|mamba config list
|Shows the entire Mamba configuration.
|
|-
|mamba config sources
|Shows the location of all configuration files (.condarc).
|
|-
|mamba remove
|Delete an environment
|mamba remove -n envname --al
|}

Latest revision as of 03:21, 29 June 2026


Mamba is the 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 you created it on.

Installed at...

/opt/miniforge3/bin/mamba

Creating an Environment

Create a new Python environment by logging into a server and running the "create" command.

mamba create -n testenv1 python=3.11

Activate the environment.

mamba activate testenv1

Install packages to the environment.

mamba install pandas

Run a script using the 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 Eample
mamba clean --all Removes unused packages, caches, and tarballs to free up disk space. Use this frequently!
mamba config list Shows the entire Mamba configuration.
mamba config sources Shows the location of all configuration files (.condarc).
mamba remove Delete an environment mamba remove -n envname --al