
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 CarpentryDuring 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.
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.
Most Recent Workshop
Fall 2021
Location: Online via Zoom
Topics covered:
- Programming with Python
Friday, September 24, 9:00-4:00 CDT - The Unix Shell
Friday, October 1, 1:00-4:00 pm CDT - Version Control with Git
Friday, November 5, 1:00-4:00 pm CDT - Data Analysis and Visualization in R: The workshop and waitlist are full and registration is closed.
Friday, December 3, 9:00-4:00 CST
Register individually for the topics you want. To experience the full Software Carpentry curriculum, register for and attend Unix Shell, Version Control with Git, and either Python or R. Zoom connection information will be sent to registered learners the day before each session.
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.
Instructors
- Matt Deakyne, IT Technology Manager, University of Kansas
- Rob Ramos, Doctoral Candidate, Ecology & Evolutionary Biology, University of Kansas
- Casey Russell, Network Engineer, KanREN
- Pietro de Mello, Doctoral Candidate, Ecology & Evolutionary Biology, University of Kansas
- Tami Albin, Associate Librarian, University of Kansas
- Thane Kindred, Department of Geosciences, Idaho State University
Sponsors
KU Libraries, KU Research, and KU Information Technology