July 17, 2026
9:00 a.m. - 5:00 p.m. CST
Instructors: Trey Clark, Maristella Feustle
Helpers: Sarah Lynn Fisher
The Carpentries project comprises the Data Carpentry, High Performance Computing Carpentry, Library Carpentry, and Software Carpentry communities of Instructors, Trainers, Maintainers, helpers, and supporters who share a mission to teach foundational computational and data science skills to researchers.
Library Carpentry is made by people working in library- and information-related roles to help you:
Library Carpentry introduces you to the fundamentals of computing and provides you with a platform for further self-directed learning. For more information on what we teach and why, please see our paper "Library Carpentry: software skills training for library professionals".
Everyone who participates in Carpentries activities is required to conform to the Code of Conduct, which also outlines how to report an incident if needed.
The course is for people working in library- and information-related roles. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
July 17, 2026; 9:00 a.m. - 5:00 p.m. CST Add to your Google Calendar.
Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below).
We are committed to making this workshop accessible to everybody.
The workshop organizers have checked that:
We are dedicated to providing a positive and accessible learning environment for all. We do not require participants to provide documentation of disabilities or disclose any unnecessary personal information. However, we do want to help create an inclusive, accessible experience for all participants. We encourage you to share any information that would be helpful to make your Carpentries experience accessible. To request accessibility support for this workshop, please fill out the accessibility support request form. If you have questions or need assistance with the accessibility support form please email us.
Glosario is a multilingual glossary for computing and data science terms. The glossary helps learners attend workshops and use our lessons to make sense of computational and programming jargon written in English by offering it in their native language. Translating data science terms also provides a teaching tool for Carpentries Instructors to reduce barriers for their learners.
Carpentries workshops are designed to be interactive rather than lecture-based, with lessons that build upon one another. To foster a positive online learning environment, we strongly recommend that participants join in real time. As a result, workshop recordings are not recommended and may not be available to learners.
Please email maristella.feustle@unt.edu or sarahlynn.fisher@unt.edu for more information.
For answers to frequently asked questions about workshops, refer to the Carpentries Workshop FAQ.
Please fill out this survey before attending the workshop.
Fill Out the Pre-Workshop SurveyPlease fill out this survey before you leave the workshop.
Fill Out the Post-Workshop Survey| Before Starting | Pre-workshop survey |
| 09:00 | Python Intro for Libraries |
| 10:30 | Morning break |
| 12:00 | Lunch break |
| 13:00 | Python Intro for Libraries Continued |
| 14:30 | Afternoon break |
| 16:30 | Wrap-up |
| 17:00 | END |
To participate in a Library Carpentry workshop, you will need access to software as described below. In addition, you will need an up-to-date web browser.
We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page.
Python is a popular language for scientific computing, and great for general-purpose programming as well. For this workshop we use Python version 3.x. Installing all of its scientific packages individually can be a bit difficult, so we provide an environment file to help you take care of them all together. We will use the Miniforge distribution of Python. Please refer to the Python section of the workshop website for installation instructions..
We will teach Python using JupyterLab, a part of a family of Jupyter tools that includes Jupyter Notebook and JupyterLab, both of which provide interactive web environments where you can write and run Python code. If you followed the instructions linked above, JupyterLab is installed on your system. Alternatively, you can install JupyterLabinstall JupyterLab on its own using conda, pip, or other popular package managers.
Please visit this link to download the data needed for this lesson.