SDSC Expanse Notebook: Python_Data_Analysis_Library

This README file provides instructions for Expanse users to run Python_Data_Analysis_Library using CPU on Expanse. pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language.

This notebook will give you an introduction to PANDAS. Enjoy!/ Listof Content

• Import Module
• Launch Galyleo
• Environment Modules
• Install Modules
• Location
• Submit Ticket

Import Module:

• Image
• pandas

Launch Galyleo

For specific information about launching Galyleo, please refer to this GitHub repository.

Environment Modules

By utilizing --env-modules, we can load any software installed in Expanse. For instance, executing this command line will load CPU modules and Anaconda3 within the Jupyter session.

• CPU: --env-modules cpu/0.17.3b,anaconda3

  galyleo launch --account abc123 --partition shared --cpus 2 --memory 4 --time-limit 00:30:00 --env-modules cpu/0.17.3b,anaconda3/2021.05
  

Install Modules

To run PandasCSV notebook, we do not need to install any additional packages.

Location

Python_Data_Analysis_Library
├── PandasCSV.ipynb
├── README.md

Submit Ticket

This notebook was last tested on 3/31/25. If you find anything that needs to be changed, edited, or if you would like to provide feedback or contribute to the notebook, please submit a ticket by contacting us at:

Email: consult@sdsc.edu

We appreciate your input and will review your suggestions promptly!

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