SDSC Expanse Notebook: NumPy_Intro

This README file provides instructions for Expanse users to run NumPy_intro notebooks in the Expanse.

NumPy is a fundamental numerical Python package. It includes array objects, high level array manipulation functions, and more. numpy_intro.ipynb: This is an introduction to NumPy. The notebook explores n-dimentional arrays; basic NumPy functions like creating arrays, reshaping and manipulating arrays; some general linear algebra capabilities; and sampling for HPC capacities.
Listof Content

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

  Import Module:

• numpy
• add
• matplotlib
• collections
• Counter

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 numpy_intro notebook, we do not need to install any additional packages.

Location

NumPy_Intro
├── numpy_intro.ipynb
├── README.md

Sources

For extensive NumPy documentation: https://numpy.org/doc/stable/reference/index.html

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!