May 11-12, 2023
10:00 am - 5:00 pm EST
Instructors: Kok Ben Toh, Wladimir Labeikovsky
Helpers: Jajwalya Karajgikar, Girmaye Misgna, Lauren Phegley, Stephen Hall, Neetu Rajpal, Ben Liebersohn, Rachel Liu
Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.
For more information on what we teach and why, please see our paper "Good Enough Practices for Scientific Computing".
Who: The course is aimed at students and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
Where: Stephen A Levin Building, Room 111, 425 S University Avenue, Philadelphia, PA. Get directions with OpenStreetMap or Google Maps.
When: May 11-12, 2023. 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. The necessary software will be installed during the workshop.
Accessibility: We are committed to making this workshop accessible to everybody. For workshops at a physical location, the workshop organizers have checked that:
Materials will be provided in advance of the workshop and large-print handouts are available if needed by notifying the organizers in advance. If we can help making learning easier for you (e.g. sign-language interpreters, lactation facilities) please get in touch (using contact details below) and we will attempt to provide them.
Contact: Please email anneliza@upenn.edu for more information.
Roles: To learn more about the roles at the workshop (who will be doing what), refer to our 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.
Please be sure to complete these surveys before and after the workshop.
| Before starting | Pre-workshop survey |
| 09:55a | Greeting Learners |
| 10:05a | Welcome |
| 10:10a | Opening Remarks/Introductions |
| 10:30a | Python Installation Session |
| 11:00a | Set-up |
| 12:00p | LUNCH |
| 01:00p | Starting with Data |
| 03:00p | Hangouts and Q&A |
| 09:55a | Greeting Learners |
| 10:00a | Welcome |
| 10:05p | Indexing, Slicing and Subsetting DataFrames |
| 11:00a | Data Types and Formats |
| 12:00p | LUNCH |
| 01:00p | Data Workflows and Automation |
| 02:00p | Data Visualization |
| 03:00p | Hangouts and Q&A |
| Post Hangout: | Post-workshop survey |
To participate in a Data Carpentry 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.
The setup instructions for Data Analysis and Visualization in Python can be found at the workshop overview site.