Online
Aug 04-06, 2026
9:00 am - 2:00 pm EST
Instructors: Gorata Malose, Monah Abou Alezz, Gandhimathi Padmanaban, Arnab Bandyopadhyay
Helpers: Shruti Subramaniam
The Carpentries project comprises the Data Carpentry, High Performance Computing Carpentry, Library Carpentry, and Software Carpentry communities of Instructors, Trainers, Maintainers, helpers, and supporters who share a mission to teach foundational computational and data science skills to researchers.
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".
Everyone who participates in Carpentries activities is required to conform to the Code of Conduct, which also outlines how to report an incident if needed.
Who: This lesson assumes you have a working knowledge of Python and some previous exposure to the Bash shell. These requirements can be fulfilled by: a) completing a Software Carpentry Python workshop or b) completing a Data Carpentry Ecology workshop (with Python) and a Data Carpentry Genomics workshop or c) independent exposure to both Python and the Bash shell. If you’re unsure whether you have enough experience to participate in this workshop, please read over this detailed list, which gives all of the functions, operators, and other concepts you will need to be familiar with.
This training will take place online. The instructors will provide you with the information you will need to connect to this meeting.
Aug 04-06, 2026; 9:00 am - 2:00 pm EST Add to your Google Calendar.
Participants must have access to a computer with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below).
We are committed to making this workshop accessible to everybody.
We are dedicated to providing a positive and accessible learning environment for all. We do not require participants to provide documentation of disabilities or disclose any unnecessary personal information. However, we do want to help create an inclusive, accessible experience for all participants. We encourage you to share any information that would be helpful to make your Carpentries experience accessible. To request accessibility support for this workshop, please fill out the accessibility support request form. If you have questions or need assistance with the accessibility support form please email us.
Glosario is a multilingual glossary for computing and data science terms. The glossary helps learners attend workshops and use our lessons to make sense of computational and programming jargon written in English by offering it in their native language. Translating data science terms also provides a teaching tool for Carpentries Instructors to reduce barriers for their learners.
Carpentries workshops are designed to be interactive rather than lecture-based, with lessons that build upon one another. To foster a positive online learning environment, we strongly recommend that participants join in real time. As a result, workshop recordings are not recommended and may not be available to learners.
Please email ypv5@cdc.gov for more information.
For answers to frequently asked questions about workshops, refer to the Carpentries Workshop FAQ.
Please fill out this survey before attending the workshop.
Fill Out the Pre-Workshop SurveyPlease fill out this survey before you leave the workshop.
Fill Out the Post-Workshop Survey| Before starting | Pre-workshop survey |
| 9:00 am | Welcome |
| 9:15 am | Introduction |
| 10:00 am | Break |
| 10:10 am | Image Basics |
| 11:40 am | Break |
| 12:00 pm | Working with scikit-image |
| 13:30 pm | Questions and Wrap Up |
| 14:00 pm | End of Day 1 |
| 9:00 am | Welcome and Recap from last session |
| 9:15 am | Drawing and Bitwise Operations |
| 10:15 am | Break |
| 10:30 am | Creating Histograms |
| 12:00 pm | Break |
| 12:10 pm | Blurring Images |
| 13:40 pm | Questions and Wrap Up |
| 14:00 pm | End of Day 2 |
| 9:00 am | Welcome and Recap from last session |
| 9:15 am | Thresholding |
| 10:45 am | Break |
| 11:00 am | Connected Component Analysis |
| 12:30 pm | Break |
| 12:40 pm | Capstone Challenge |
| 13:40 pm | Questions and Wrap Up |
| 14:00 pm | End of Day 3 |
| Survey | 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.
If you haven't used Zoom before, go to the official website to download and install the Zoom client for your computer.
Like other Carpentries workshops, you will be learning by "coding along" with the Instructors. To do this, you will need to have both the window for the tool you will be learning about (a terminal, RStudio, your web browser, etc..) and the window for the Zoom video conference client open. In order to see both at once, we recommend using one of the following set up options:
The setup instructions for Data Carpentry Image Processing workshops can be found at the curriculum site.