Python and R Drop-In Hour (Hybrid)

Need help getting started with Python or R? Have questions about your code, packages, or plotting? This informal, drop-in session is designed to support researchers, students, and staff at any level who are using Python or R for data wrangling, data analysis, visualization, or developing reproducible workflows in environments like Jupyter and RStudio. Whether you're just getting started or want assistance with specific packages, we're here to help.

Can't make it to this drop-in-hour? You can always contact us with your questions about this or other digital scholarship and publishing topics! Read more about Digital Scholarship & Publishing support.

Location: This event will take place in Hillman Library's Digital Scholarship Lab (room G30), located just past the main service desk on the ground floor of the library. Look for the glass double-doors after entering through the ground floor atrium entrance; if you enter on the first floor, take the elevator down to the ground floor and turn right out of the elevator.

Software: The Digital Scholarship Lab computers have relevant software for this workshop available (unless we are using software that is otherwise available online). Non-Pitt participants must obtain a temporary ID at the Hillman circulation desk to access the computer workstations. Please check in with the workshop presenter or contact [email protected] if you plan to bring your own personal laptop and have questions about downloading software prior to attending the event.