Install packages

!!! info “Learning objectives”

  • Practice using the documentation of your HPC cluster

  • Install a (general-purpose) Python package with pip

  • Be able to navigate to the project folder (except for the COSMOS HPC cluster)

  • Be able to create a subfolder in the project folder

  • Understand limitations of this way, e.g. use cases/best practices

<!– exercise:

HPC cluster| Who creates answer ———–|———————————————- Alvis | RB Bianca | BC, because use conda to install packages COSMOS | RB Dardel | BC Kebnekaise | BC LUMI | RB Rackham | RB Tetralith | BC

  • Confirm a package is not there

  • Install it

  • Confirm the package is there

–>

<!– below is still old –>

Objectives

Learners can

  • work (create, activate, work, deactivate) with virtual environments

  • install a python package

  • export and import a virtual environment

Introduction

There are 2-3 ways to install missing python packages at a HPC cluster.

  • Local installation, always available for the version of Python you had active when doing the installation

    • pip install --user [package name]

  • Isolated environment. Use some packages just needed for a specific use case.
    • venv/virtualenv in combination with pip

      • recommended/working in all HPC centers in Sweden

    • conda

      • just recommended in some HPC centers in Sweden

Local (general installation)

Note

pip install --user [package name]

  • The package end up in ~/.local

  • target directory can be changed by --prefix=[root_folder of installation]