Past Events

Wed
Oct
29
2025
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Computer Literacy for Python (Mac User)

Gain hands-on experience with operating system tools and techniques that form the foundation for programming in Python.

Thu
Oct
23
2025
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Applying AI to Oral History: Opportunities, Challenges, and What Comes Next

AI is reshaping oral history! Join Steven Sielaff as he demos tools like MacWhisper & BoxAI, and dives into ethical concerns like bias & authorship. Co-sponsored by UTSA Libraries, Museums & History Dept. Discover storytelling in the age of AI.

Wed
Oct
22
2025
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Computer Literacy for Python (Windows Users)

Learn essential operating system skills used by programmers, with a focus on Python foundations and command-line efficiency.

Wed
Oct
08
2025
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Introduction to NotebookLM

Discover how to integrate AI tools like NotebookLM into your coursework to streamline studying and gain deeper insights.

Mon
Apr
28
2025
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Tabular Data with Python, Part II: Prepare data sets for presentation

This workshop covers packaging and presenting Python text analysis results, including data formats, audience communication, visualization selection, and ethical considerations.

Wed
Apr
23
2025
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4th Annual John L. Nau, III Conference on Texas History: Digital Humanities and Texas History

Pre-registration required. Lunch will be served to registered guests.

Wed
Apr
16
2025
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Tabular Data with Python, Part I: An Introduction to Pandas

This workshop introduces Pandas, a powerful Python tool for organizing, analyzing, and gaining insights from structured data.

Wed
Apr
02
2025
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Text Analysis with Python, Part II: Learn how to use sentiment analysis and visualize results

This workshop explores sentiment analysis using Python and NLTK, teaching participants to analyze text tone and visualize results with charts.

Wed
Mar
19
2025
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Behind the Scenes at the Alamo

Limited space available, pre-registration required

Wed
Mar
19
2025
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Text Analysis with Python, Part I: Learn how to use the natural language toolkit

This workshop introduces Natural Language Processing (NLP) with Python using the NLTK library to analyze texts through tokenization, stemming, NER, and word frequency analysis.