![]() In the above example, pandas will be installed to the user-specific site-packages directory for Python 3.9 ( ~/.local/lib/python3.9/site-packages). Using the pandas package as an example, users can install the latest release of the package to their home directory from within a command-line session on Longleaf using the following commands: $ module load python/3.9.6īecause users only have write access to specific locations on Longleaf such as their home directories, it is necessary to include the -user flag when doing pip installs. Pip is a package-management system that installs packages from the PyPi repository through a command-line interface. There there are numerous open-source packages available for download through the Python Package Index ( PyPi) repository. User-specific package installations with pip The system-wide versions of Python often include common scientific packages such as numpy and scipy, and are sufficient for basic computations however, most research projects will require users to install additional packages themselves using pip or conda. nas/longleaf/rhel8/apps/python/3.9.6/bin/python To identify the location of the currently-loaded python interpreter, you may use the which command. To load a specific version of Python to your environment, use the module load command. " to search for all possible modules matching any of the "keys". Use "module spider" to find all possible modules. nas/longleaf/apps/lmod/modulefiles/Core. To view the available versions of Python, run the following command from within a command-line session on Longleaf or Dogwood: $ module avail python On Longleaf and Dogwood, there are several pre-installed versions of Python available as modulefiles. Using virtual environments in a Jupyter notebook System-wide versions of Python Using virtual environments in a SLURM job User-specific package installations with pipĭependency management with virtual environmentsĬreating virtual environments with venv and pip This guide presents an overview of managing Python packages and environments on the Longleaf and Dogwood clusters.
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