Software Carpentry Workshops

Software Carpentry teaches fundamental skills that can increase your productivity and improve the quality and reproducibility of your research projects.

About Software Carpentry

During a hands-on workshop, you will learn to automate tasks using the Unix shell, track and share your work using version control, and how to write software in Python or R that is readable, reusable, and reliable. Receive news about upcoming workshops by subscribing to the ku-carpentries-news mailing list.

Upcoming Workshops

Software Carpentry: Reproducible Data Science

When: September 29, October 1, & October 3, 2025
Time: 1:00 - 4:30 pm CDT (UTC-5)
Location: Price Computing Center Auditorium

This Software Carpentry workshop introduces key skills for reproducible data science. Participants should be familiar with the concepts of files and directories, but no specialized experience is expected or required. During this hands-on workshop, you will learn to:

Navigate the Unix-style command line (Bash shell)
Apply version control with command line Git
Navigate and apply code review principles in GitHub

This workshop is for you especially if you have no prior experience with these topics. The day's schedule can be found on the workshop's GitHub page.

This is an in-person workshop that will not be recorded. Registration will remain open until the workshop reaches capacity. Register using this form.

Who should attend?

This workshop is aimed at faculty, staff, and students across disciplines who want introductions to the Unix shell, Git and GitHub, and principles of code review in a welcoming environment.

Why should I attend?

You will learn to use tools and practice skills that can improve your efficiency and the transparency and reliability of your research results. Software Carpentry estimates that these skills can save half a day to one day a week over your career.

Instructors

Vanna Hay, Anthropology
Caroline Kisielinski, Ph. D., Biodiversity Institute
Brian Sanderson, Ph.D., Molecular Biosciences and Center for Genomics