ACES: Python for Data Scientists

Overview

Instructor(s): Richard Lawrence

Time: Friday, April 11, 2025 — 10:00AM-4:00PM CT

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.

Course Materials

Python for Data Scientists (Spring 2025):

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

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

This course's topics are organized roughly as follows:

Acessing ACES and using Jupter Notebook
Numpy arrays
Pandas DataFrames
Matplotlib

Note: During the class sessions many aspects of the material will be illustrated live via a login to ACES. Attendees will log into ACES and complete the exercises. You are encouraged to contact the HPRC helpdesk with any questions regarding ACES.