July 20-23, 2026
9:00 a.m. - 1:00 p.m.
Instructors: TBD
Helpers: TBD
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The Carpentries project comprises the Software Carpentry, Data Carpentry, and Library Carpentry communities of Instructors, Trainers, Maintainers, helpers, and supporters who share a mission to teach foundational computational and data science skills to researchers.
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This workshop is aimed at teaching individuals who know a little unix shell, git, and python and are ready to learn about the next steps in software development for reserachers. This workshop builds upon the introductory Software Carpentry with python workshop. After this workshop, participants will be able to: - Explain key principles of open and reproducible research and their implications for research software development. - Analyze software for maintainability, reproducibility and reuse, identifying risks and opportunities for improvement. - Apply professional software development workflows for version control, reproducible environment management and collaboration. - Design modular and extensible software to support reuse and scalable development. - Design and implement testing, documentation and quality assurance practices to support correct and reusable research software. - Evaluate software projects for openness, sustainability, reusablilty and collaborative practices. - Select appropriate tools and practices to support collaborative and open research software development.Where: Orchard View Room, Discovery Building, 330 N Orchard St, Madison, WI 53715. Get directions with OpenStreetMap or Google Maps.
When: July 20-23, 2026; 9:00 a.m. - 1:00 p.m. Add to your Google Calendar.
Requirements: 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).
Accessibility: 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.
Workshop Recordings: 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.
Contact: Please email facilitator@datascience.wisc.edu for more information.
Workshops FAQ: For answers to frequently asked questions about workshops, refer to the Carpentries Workshop FAQ.
Everyone who participates in Carpentries activities is required to conform to the Code of Conduct. This document also outlines how to report an incident if needed.
We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.
To participate in a 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.
Please check the "Setup" page of the lesson homepage for instructions to follow to obtain the software and data you will need to follow the lesson.