Anaconda Python
Anaconda Python and Its capabilities
The cluster provides an Anaconda Python module, which is a Python distribution environment with common packages included. A key feature of this distribution is the ability to create conda environments.
This feature allows users to install independent sets of Python packages, greatly simplifying various Python-based computations. Below is an example of creating and using such an environment.
First load Anaconda Python:
module load anaconda3
guix install python-anaconda
Check available environments (you’ll see only base):
conda info --envs
Create a new environment, specifying a name (-n) and any desired packages and versions:
conda create -n my_py35_env python=3.5 scipy numpy
List environments again to confirm your new one appears:
conda info --envs
Activate the environment (you can also do this inside sbatch scripts):
source activate my_py35_env
Verify the Python version matches expectations:
python --version
Deactivate the environment to return to base (not needed in sbatch scripts):
conda deactivate