Software Carpentry Workshops
Software Carpentry teaches fundamental skills that can increase your productivity and improve the quality and reproducibility of your research projects. During a hands-on workshop, you will learn how to automate tasks using the Unix shell, how to track and share your work using version control, and how to write software in Python or R that is readable, reusable, and reliable. A Software Carpentry workshop is for you especially if you have no prior experience with these topics.
KU's cohort of certified Carpentries Instructors offer workshops multiple times per year. We do our best to time workshops around the academic calendar and class schedules. Details of any current or upcoming workshop are below.
July 24, 31, August 7, 14, 2020
9:00 am - 12:30 pm, all days
Location: Online via Zoom
- The Unix Shell (Friday, July 24)
- Version Control with Git (Friday, July 31)
- Plotting and Programming in Python (Fridays, August 7 and August 14)
More details about the topics covered and a detailed schedule can be found on the workshop's GitHub page.
Registration for this workshop is closed.
Details of future workshops will be posted as they become available.
Who should attend?
This workshop is aimed at faculty, staff, and students across disciplines who want to learn how to automate repetitive tasks, approach coding in a systematic way, and document the evolution of their work through version control measures. No prior experience with the workshop topics is expected or required.
Attendees are welcome regardless of institutional affiliation. If you are a visitor to KU, you will need a Zoom account to join the workshop.
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.
Matt Deakyne, IT Technology Manager, University of Kansas
Elizabeth Everman, PhD, Post-Doctoral Researcher, University of Kansas
Jamene Brooks-Kieffer, Data Services Librarian, Universty of Kansas
Sponsored by KU Libraries, KU Research, and KU Information Technology