Anaconda Python


Anaconda python distribution from Continuum Analytics (Conda) is an open source package management system and environment management system for installing multiple versions of software packages and their dependencies and switching easily between them. It works on Linux, OS X and Windows, and was created for Python programs but can package and distribute any software.  

Here is how you typically initiate an environment  and install packages:

$ module load anaconda3/2024.2
$ conda create --name myenv <package-1> <package-2> ... <package-N>
$ conda activate myenv

When creating environments, it's efficient to include all necessary packages at once to ensure that dependencies are resolved together. Adding packages later is feasible but might complicate dependency management. Exiting an environment is simple with conda deactivate.

To specify a new environment location, use the --prefix ​​ or -p option followed by the path to the directory where you want to create the environment (ex. project space).

Frequently Used Conda Commands

View the help menu:

$ conda -h

Help for the install command: 

$ conda install --help

Search for a specific package in the conda-forge channel:

$ conda search cudatoolkit --channel conda-forge 

Display all packages installed in the current environment (add --explicit for complete paths):

$ conda list

Example commands to create environments and install specific packages:

$ conda create --name myenv pairtools 
$ conda create --name myenv python=3.8 cudatoolkit
$ conda create --name bioconda-env bioconda-utils --channel bioconda 
$ conda create --name baz-env bazel --channel powerai 

Activate an existing environment and install a package:

$ conda activate bioconda-env 

$ conda install pandas

List all environments:

$ conda info --envs 

Delete an environment:

$ conda remove --name bioconda-env --all 

Much more can be done with conda as a package manager or environment manager.

Useful links:

Conda Cheat Sheet