Overview

Instructor(s): Richard Lawrence

Time: April 2026

Location: Online using Zoom

Prerequisite(s): Active ACCESS ID, some Python or programming experience

This short course for experienced programmers introduces the Numpy, Pandas, and Matplotlib libraries commonly used to manage and display large datasets in Python.

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Course Materials

• Python for Data Scientists (Fall 2025): PDF
• Numpy and Pandas Notebook: IPYNB
• Matplotlib Plotting Notebook: IPYNB

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• Python for Data Scientists (Spring 2025): PDF

Participation

During the training, attendees are expected to log in to an HPRC cluster using their own computer and complete the instructor-led examples and exercises.

Learning Objectives and Agenda

In this course, participants will:

• Access the Jupyter IDE on ACES
• Learn how to handle 1D and 2D data via Numpy and Pandas
• Learn to create figures and plots using Matplotlib

You are encouraged to contact the HPRC helpdesk with any questions regarding ACES.