Join UT Libraries this August for an Immersive Python Workshop!

Held in Perry-Castañeda Library (PCL)'s Scholars Lab, Data Lab, this in-person, three-day workshop is open to all UT Austin students, faculty, and researchers—no prior experience with Python is required. The beginner-friendly workshop kicks off with an introduction to Python, followed by breakout tracks where participants can explore specific applications—geospatial analysis, sentiment analysis, or data visualization. The workshop wraps by walking participants through the process of openly sharing code using GitHub and introduces AI tools that can be used to help with code development.

The workshop format alternates between short tutorials and hands-on exercises. Participants are encouraged to support one another and apply what they learn to their own research problems during and between sessions.

Immersive Python Workshop - Day 1 | Wednesday, August 12, 2026 | 1:00-3:00pm

NOTE: Day 1 is optional but recommended for participants who are completely new to Python or have limited experience with programming

• Python and programming essentials
• Review process for installing required software

Immersive Python Workshop - Day 2 | Thursday, August 13, 2026 | 12:30-4pm

• Intro to foundations of Python
• Python and APIs for retrieving data
• Managing and processing files
• Optional software check to prepare for day three

Immersive Python Workshop - Day 3 | Friday, August 14, 2026 | 12:30-4pm

• Attendees choose 1 of 3 split tracks (Sentiment analysis | Geospatial analysis | Data visualization)
• Sharing code in GitHub
• AI tools for writing Python code

Registration for ALL Immersive Python Workshop sessions opens at noon on Wednesday, July 22. Just one registration needs to be submitted to attend all three days of the workshop. Space is limited, so be sure to mark your calendar and register early—the last workshop filled up in just 15 minutes!

Register here!

Location: Perry-Castañeda Library - Scholars Lab, Data Lab (PCL 2.202)

For more information/questions, contact Meryl Brodsky (meryl.brodsky@austin.utexas.edu).