[]$ module purge
[]$ module load miniconda3/24.3.0
[]$ conda search python
[]$ conda create -n py_env
[]$ conda activate py_env
(py_env) []$ conda install python=3.12.4
(py_env) []$ python --version
Python 3.12.4
(py_env) []$ conda search numpy
(py_env) []$ conda install numpy
(py_env) []$ python -c "import numpy; print(numpy.__version__)"
1.26.4
(py_env) []$ conda deactivate
[]$

[]$ conda search python
Loading channels: done
# Name                       Version           Build  Channel
python                        2.7.13     hac47a24_15  pkgs/main
...
python                        3.12.3      h996f2a0_1  pkgs/main
python                        3.12.4      h5148396_1  pkgs/main

Notice: Although Python version 2 has been deprecated, it is still used for old packages/modules/scripts. You can create a conda environment that provides this old, no longer supported version.

This is how ARCC provides this version on the cluster.

[]$ conda create -n py_env
Channels:
 - defaults
Platform: linux-64
Collecting package metadata (repodata.json): done
Solving environment: done

## Package Plan ##
  environment location: /home/salexan5/.conda/envs/py_env

Proceed ([y]/n)? y