2027-06-23
09:00 to 17:00 (UTC + 1)
Instructors:
Helpers:
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.
Support what we do by donating to The Carpentries.
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: The course is aimed at graduate students and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
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. In addition, this lesson assumes that learners have some familiarity with astronomical concepts, including reference frames, proper motion, color-magnitude diagrams, globular clusters, and isochrones. Participants should bring their own laptops and plan to participate actively.
2027-06-23; 09:00 to 17:00 (UTC + 1) Add to your Google Calendar.
Windows PCs are available in the training room. Log in with your University credentials.
Newcastle University Managed Windows Laptops: The University provides 'packaged' software, which can be installed without admin rights on your managed laptop or workstation.
We are committed to making this workshop accessible to everybody.
The workshop organizers have checked that:
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 training.researchcomputing@newcastle.ac.uk for more information.
For answers to frequently asked questions about workshops, refer to the Carpentries Workshop FAQ.
We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.
Please fill out this survey before you leave the workshop.
Post-workshop Survey| Before starting | Pre-workshop survey |
| Morning | Introduction |
| Image Basics | |
| 10:30 am | Break |
| Working with skimage | |
| Afternoon | Drawing and Bitwise Operations |
| 2:30 pm | Break |
| Creating Histograms |
| Morning | Blurring Images |
| 10:30 am | Break |
| Thresholding | |
| Afternoon | Connected Component Analysis |
| 2:30 pm | Break |
| Capstone Challenge | |
| After finishing | Post-workshop survey |
| END |
To participate in a 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 this Incubator Python workshop can be found at the workshop overview site.