[]$ module purge
[]$ module load miniconda3/24.3.0
[]$ conda search python
[salexan5@mblog1 ~]$ conda create -n py_env
[salexan5@mblog1 ~]$ conda activate py_env
(py_env) [salexan5@mblog1 ~]$ conda install python=3.12.4
(py_env) [salexan5@mblog1 ~]$ python --version
Python 3.12.4
(py_env) [salexan5@mblog1 ~]$ conda search numpy
(py_env) [salexan5@mblog1 ~]$ conda install numpy
(py_env) [salexan5@mblog1 ~]$ python -c "import numpy; print(numpy.__version__)"
1.26.4
(py_env) [salexan5@mblog1 ~]$ conda deactivate
[salexan5@mblog1 ~]$

[]$ 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

Use the create sub command to create your environment.

The -n option will create your environment (which is just a folder) in the default configured location.

Out the box, this will be under: /home/<username>/.conda/envs/

[]$ 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

Note the location that the environment will be saved to: environment location: /home/salexan5/.conda/envs/py_env

Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
#     $ conda activate py_env
#
# To deactivate an active environment, use
#
#     $ conda deactivate

Note the command required to activate your environment: conda activate py_env

This will be required every time you wish to use it.

Before you can use a conda environment it must be activated.

Every time you want to use it, you must remember to activate it.

[]$ conda activate py_env
(py_env) []$ 

Note: See how the command line prompt has changed once the environment has been activated: (py_env) [...]

This indicates the name of the conda environment that is currently active.

Once a conda environment is active, you can start to use it, and one aspect of this is to install conda packages.

(py_env) []$ conda install python=3.12.4

Note all the addition dependencies/libraries that are being installed into the environment

(py_env) []$ python --version
Python 3.12.4

Let’s first check if numpy is available as a package, and if it is, which versions are available.

(py_env) []$ conda search numpy
Loading channels: done
# Name                    

Version           Build  Channel
numpy   

(py_env) []$ python -c "import numpy; print(numpy.__version__)"
1.26.4

• Packages are being updated on a frequent basis.

• When this workshop was created numpy/1.26.4 was the latest version.

• As of 20240815, version 2.0.1 is available, and in a few weeks a newer version will likely be available.

• If you do not define a version, then the latest will be installed.

To re-use a conda environment, you must activate it again.

But, you do not have to re-create it. Creation only happens once.

Although we only need to create a conda environment once, we can add/update it every time we use it.

Let’s go back into are existing conda environment and add the pandas package.

[]$ module purge
[]$ module load miniconda3/24.3.0
[salexan5@mblog1 ~]$ conda activate py_env
(py_env) [salexan5@mblog1 ~]$ conda install pandas
(py_env) [salexan5@mblog1 ~]$ python py_test.py
Python: 3.12.4 | packaged by Anaconda, Inc. | (main, Jun 18 2024, 15:12:24) [GCC 11.2.0]
Numpy: 1.26.4
Pandas: 2.2.2
(py_env) [salexan5@mblog1 ~]$ conda deactivate