Past Events

Course Description: Building further on the concepts covered in the Introduction, Intermediate, and Data Science Python courses, we will introduce Python as a tool for training and testing machine learning (ML) models with a particular focus on deep learning approaches. Specific topics will include an introduction to the PyTorch software library and a brief survey of some of the basic model architectures which it implements. Some prior familiarity with the basic ideas of ML (underfitting vs. overfitting, use of training and test data sets, model performance metrics such as AUC, etc.) and/or linear algebra will be helpful for getting the most out of this course.

Course Description: This domain non-specific course is designed for Python programmers who have basic experience with the language. Learners are expected to be familiar with control flow and basic Python data structures (variable assignment, lists, dictionaries). This course will cover the knowledge to make code modular, readable and reproducible. A major focus will be object-oriented programming and Python’s implementation of the object-oriented paradigm.

Introduction to Python Python is a simple and popular programming language that can be used across platforms, and is useful for a wide variety of tasks. This short course is a basic introduction to scripting using Python. Skills taught will include data structures, loops, conditional statements, function definitions, and if time permits, file input and output. These tools will be useful for researchers in many fields for data management, automating tedious computational tasks, and handling “big data.” This course is taught at an introductory level and is appropriate for students with no programming experience, but will contain material and techniques helpful to moderately experienced programmers new to Python. Cost: $50

In partnership with Dr. Andrew Britt in African and African Diaspora Studies, the UT-OSPO is honored to co-host Luis Ferla from the Federal University of São Paulo. Dr. Ferla will present his work with Pauliceia 2.0, an open source participatory historical mapping platform.

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.