November 13-14, 2024
10:00 am - 5:00 pm ET
Instructors: Vicky Rampin, Duyi Liu, Nicholas Wolf
Helpers: Alexandra Provo, Catalina Cañizares, Francisco Cardozo, Carol Choi, s.o. O'Brien, Frans Albarillo, Szymon Fedak
The Carpentries project comprises the Software Carpentry, Data Carpentry, and Library Carpentry communities of Instructors, Trainers, Maintainers, helpers, and supporters who share a mission to teach foundational computational and data science skills to researchers.
Want to learn more and stay engaged with The Carpentries? Carpentries Clippings is The Carpentries' biweekly newsletter, where we share community news, community job postings, and more. Sign up to receive future editions and read our full archive: https://carpentries.org/newsletter/
Library Carpentry is made by people working in library- and information-related roles to help you:
Library Carpentry introduces you to the fundamentals of computing and provides you with a platform for further self-directed learning. For more information on what we teach and why, please see our paper "Library Carpentry: software skills training for library professionals".
Who: The course is for people working in library- and information-related roles. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
Where: Room 743, Bobst Library, 70 Washington Square South, New York, NY 10012. Get directions with OpenStreetMap or Google Maps.
When: November 13-14, 2024; 10:00 am - 5:00 pm ET 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. They should have a few specific software packages installed (listed below).
Accessibility: 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 an accommodation for this workshop, please fill out the accommodation request form. If you have questions or need assistance with the accommodation 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.
Contact: Please email alexandra.provo@nyu.edu for more information.
Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.
Who can attend?: This workshop is open to members of the NYU community who have access to Bobst Library.
Registration: You must register your attendance to this workshop on LibCal. Minute cards: Slides for minute cards.
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.
Please be sure to complete these surveys before and after the workshop.
| Before Starting | Pre-workshop survey |
| 10:00 | The Unix Shell |
| 11:00 | Morning break (10-15 min) |
| 12:00 | Lunch break |
| 13:00 | Python Intro for Libraries - Part 1 |
| 14:30 | Afternoon break (10-15 min) |
| 16:30 | Wrap-up |
| 10:00 | Introduction to Working with Data (Regular Expressions) |
| 11:00 | Morning break (10-15 min) |
| 12:00 | Lunch break |
| 13:00 | Python Intro for Libraries - Part 2 |
| 14:30 | Afternoon break (10-15 min) |
| 16:30 | Wrap-up and Post-workshop survey |
To participate in a Library 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.
Bash is a commonly-used shell that gives you the power to do simple tasks more quickly. Please find setup instructions in the lesson.
Python is a popular language for research computing, and great for general-purpose programming as well. Please find instructions to install it and the data used in the lesson in the lesson. Alternatively, you may use NYU's JupyterHub in a web browser