Prerequisites:
None
Overview:
This workshop provides a beginner-friendly introduction to modern version control and code management. Participants will learn the fundamentals of Git and how to leverage the powerful integration between Visual Studio Code and GitHub.
Contact information:
Please contact researchdata@rice.edu if you have questions about the Data@Rice workshop series.
Prerequisites:
None
Overview:
We demonstrate a new user-friendly method of performing interactive tasks on the NOTS cluster via your web browser instead of SSH. We will show how easy it is to setup and use graphical applications such as Jupyter Notebook, RStudio, MATLAB, etc. on the HPC cluster.
Contact information:
Please contact researchdata@rice.edu if you have questions about the Data@Rice workshop series.
Prerequisites:
None.
Overview:
Learn the basics of using the molecular visualization tool ChimeraX to explore protein structures and create high-quality figures for posters and papers.
Participants will learn to:
Prerequisites:
None, though knowledge of the Center for Research Computing's services or previous Research Computing workshops would be helpful.
Overview:
Rescheduled from March 5 to March 31, 2025.
Recommended prerequisites:
None
Overview:
This workshop has been rescheduled from Tues., Feb. 4 to Tues., Mar. 11.
In this workshop, participants will learn the fundamentals of photogrammetry, its applications, and how to process images using Agisoft Metashape. Designed for beginners, this session will introduce essential concepts and provide hands-on experience with creating 3D models and geospatial data from photographs.
Topics include:
Prerequisites:
Overview:
This is a continuation of our two-part Python Fundamentals series. This hands-on workshop introduces additional features of Python. Topics include lists, loops, and conditions.
Prerequisites:
None
Overview:
This is the first session in a two-part workshop for participants with no prior Python experience. This hands-on workshop introduces the basics of Python, one of the most popular programming languages. Topics include data types, variables and values, using functions and libraries, loading data, and basic visualizations.
If you have experience with Python, please consider our other Python offerings.
Prerequisites:
None, though some background in Text Analysis and Python will be helpful.
Overview:
Are you ready to take your text analysis skills to the next level? This hands-on workshop is designed for participants with foundational knowledge of text analysis and Python. The course will provide a quick refresher on essential topics before focusing on implementing text analysis using Python tools like NLTK (Natural Language Toolkit) and SpaCy.