Python

Available Python versions

The system-installed Python is available on the ABCI System.

To show available Python versions, use python --version command:

[username@login1 ~]$ python --version
Python 3.9.18

Note

Users can install any python distributions (c.f., pyenv, conda) into their own home or group area. Please kindly note that such distributions are not eligible for the ABCI System support.

Python Virtual Environments

The ABCI System does not allow users to modify the system environment. Instead, it supports users to create Python virtual environments and install necessary modules into them.

On ABCI, venv modules provide support for creating lightweight "virtual environments" with their own site directories, optionally isolated from system site directories. Each virtual environment has its own Python binary (which matches the version of the binary that was used to create this environment) and can have its own independent set of installed Python packages in its site directories.

Creating virtual environments, we use venv for Python 3.

venv

Below are examples of executing venv:

Example) Creation of a virtual environment

[username@login1 ~]$ python -m venv work

Example) Activating a virtual environment

[username@login1 ~]$ source work/bin/activate
(work) [username@login1 ~]$ which python
~/work/bin/python
(work) [username@login1 ~]$ which pip
~/work/bin/pip

Example) Installing numpy to a virtual environment

(work) [username@login1 ~]$ pip install numpy

Example) Deactivating a virtual environment

(work) [username@login1 ~]$ deactivate
[username@login1 ~]$

pip

pip in the package management system for Python. You can use pip to install packages from the Python Pakcage Index (PyPI), a repository of Python software.

$ pip <sub-command> [options]

sub command	description
install package	install package
install --upgrade package	upgrade package
uninstall package	remove package
list	list installed packages

Below are examples of executing pip. Please execute the pip command within a Python virtual environment.

Example) Installing a package with a specified version

$ pip install numpy==2.0.2
Collecting numpy==2.0.2
  Using cached numpy-2.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (19.5 MB)
Installing collected packages: numpy
Successfully installed numpy-2.0.2

Example) Listing installed packages

$ pip list
Package    Version
---------- -------
numpy      2.0.2
pip        21.2.3
setuptools 53.0.0