Python

Set-up

To load the default version of Python module, use module load python . To select a particular software version, use module load python/version. For example, use module load python/3.5 to load Python version 3.5. After the module is loaded, you can run the interpreter by using the command python. To unload the Python 3.5 module, use the command module unload python/3.5 or simply module unload python. 

Installed Modules

Environments

See the HOWTO section for more information on how to create and use python environements.

When you log into owens.osc.edu or pitzer.osc.edu you are actually logged into a linux box referred to as the login node. To gain access to the mutiple processors in the computing environment, you must submit your job to the batch system for execution. Batch jobs can request mutiple nodes/cores and compute time up to the limits of the OSC systems. Refer to Queues and Reservations and Batch Limit Rules for more info. 

Here is an example batch job script

#!/bin/bash
#SBATCH --account <your_project_id>
#SBATCH --job-name Python_ExampleJob
#SBATCH --nodes=1 
#SBATCH --time=00:01:00

module load python/3.9-2022.05

cp example.py $TMPDIR
cd $TMPDIR

python example.py

cp -p * $SLURM_SUBMIT_DIR
    

Launching Jupyter App

Log on to https://ondemand.osc.edu/ with your OSC credentials. Choose Jupyter under the InteractiveApps option.

Provide job submission parameters then click Launch.

The next page shows the status of your job either as Queued or Starting or Running. Your job may sit in a queue for a few minutes depending on cluster load and resources requested.

When the job is ready, please click on Connect to Jupyter. This will now launch a Jupyter App.

Jupyter App Usage 

With the app open, you will be able to access your home directory on the left and all your available kernels will appear on the right. Any custom kernels created using HOWTO: create virtual environment with jupyter will also appear in this selection.

With a file open you can easily switch between different kernels by clicking the kernel name in the top right.