Full course description
Term: Fall 2026
Date: September 15th, 2026
Time: 2:00 to 5:00 p.m..
Location: Online Only.
Instructors: Nathaniel Porter & Jesse Sadler
Presented By: University Libraries (LIB)
Description:
This workshop provides an introduction to using the Python programming language for reproducible data analysis and scientific computing. Learn how to work with data in Python using the JupyterLab interface, use different data types, and build reproducible data pipelines whether or not you have any experience with coding or data analysis.
This hands-on workshop is open to anyone and based on lessons from Software CarpentryLinks to an external site.. You do not need any experience with the sofware to participate but you will need access to a Windows, Mac or Linux computer. Instructions for accessing course material and installing software are below and will be sent in advance. If you have any questions before the session, please contact Jesse Sadler (jrsadler@vt.edu), Digital Humanities Trainer and Project Consultant.
Learning outcomes
Navigate the JupyterLab interface and gain comfort writing and running code.
Distinguish between common data types and structures in Python.
Build reproducible data pipelines using loops and conditions.