Past Events

The UT Libraries and UT Open Source Program Office are excited to announce an Immersive Python Workshop coming up January 7-9, 2026! This in-person workshop is aimed at UT students, faculty, and researchers.

The UT Libraries and UT Open Source Program Office are excited to announce an Immersive Python Workshop coming up January 7-9, 2026! This in-person workshop is aimed at UT students, faculty, and researchers.

The UT Libraries and UT Open Source Program Office are excited to announce an Immersive Python Workshop coming up January 7-9, 2026! This in-person workshop is aimed at UT students, faculty, and researchers.

Join this session to learn about the development cycle of the open-source API framework known as Tapis.

Are you interested in a career in technology or software development? Join us for an immersive event designed to help you connect with industry professionals and sharpen your skills.

Master’s & PhD Quant Night: A campus-wide networking and recruiting event for quantitatively skilled graduate students. Come meet with alumni and recruiters in a relaxed environment. Ask alumni about their career journey, from academia into industry, their current role, advice on entering the job market and ways to be a competitive candidate.

This workshop will provide an introduction to using SQL (Structured Query Language) to store and manage data in open source relational databases like MariaDB, MySQL, PostgreSQL, and SQLite. Virtual and in-person options are available.

The Jackson School of Geosciences Hackathon is an annual event that convenes students, researchers, and faculty members to hone their skills in computer programming and the geosciences, all for the fun of friendly competition (and monetary prizes).

In this presentation, Stephanie Lieggi (University of California, Santa Cruz) and Angela Newell (University of Texas, Austin) will discuss their experience in building both local and system-wide OSPO efforts.

This virtual workshop will introduce attendees to basic concepts and techniques for working with text as data, focusing on how open source software can be used to implement computational approaches for understanding and examining text. A practical, hands-on exercise using Python will follow the introductory talk.