Join UT Libraries and UT Open Source Program Office this August for an Immersive Python Workshop!
Held in Perry-Castañeda Library (PCL)'s Scholars Lab, Data Lab, this in-person, two-day workshop is open to all UT 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.
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 13, 2025 | 1-4 pm
✔️ Intro to Python basics
✔️ Python and APIs for retrieving data
✔️ Managing and processing files
✔️ Optional software check to prepare for day two
Immersive Python Workshop - Day 2 | Thursday, August 14, 2025 | 1-4 pm
✔️ Split tracks
✔️ Sentiment analysis | Geospatial analysis | Data visualization
✔️ Sharing code in GitHub
In addition to the main workshop days, there will be two optional sessions:
- Immersive Python Pre-Workshop on Tuesday, August 12, to cover foundational concepts. This optional session is recommended for participants who are new to Python or have limited experience with programming and would like an introduction to important terminology and help with software installation steps.
- Immersive Python Office Hours on Friday, August 15, to allow for in-depth discussions with instructors. This optional session will provide an opportunity for you to receive one-on-one support for applying Python to your specific research project(s).
Registration for ALL Immersive Python Workshop sessions opens at noon on Wednesday, July 23. Space is limited, so be sure to mark your calendar and register early—last year’s workshop filled up in just one hour!
Registration: Link
Location: PCL Scholars Lab, Data Lab (PCL 2.202)
For more information/questions, contact Karina Sanchez, karinasanchez@austin.utexas.edu.