Online
November 5-6, 2020
10am - 4:30pm
Instructors: Vicky Steeves, Andrew Battista, Nick Wolf, Alex Provo
Helpers: Marii Nyrop
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: This training will take place online. The instructors will provide you with the information you will need to connect to this meeting.
When: November 5-6, 2020. 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 dedicated to providing a positive and accessible learning environment for all. Please notify the instructors in advance of the workshop if you require any accommodations or if there is anything we can do to make this workshop more accessible to you.
Contact: Please email vicky.steeves@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.
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 | Jargon Busting + Computational Thinking with Vicky |
| 10:45 | Morning break |
| 11:00 | Intro to Working with Data (Regular Expressions) with Vicky |
| 12:00 | Lunch break |
| 13:00 | The Unix Shell with Andrew |
| 14:30 | Afternoon break |
| 15:00 | The Unix Shell Cont'd |
| 16:30 | END |
| 10:00 | Intro to Python with Nick |
| 11:00 | Morning break |
| 11:15 | Intro to Python Cont'd |
| 12:00 | Lunch break |
| 13:00 | Intro to Webscraping with Alex |
| 14:30 | Afternoon break |
| 15:00 | Intro to Webscraping Cont'd |
| 16:30 | END |
| 16:30 | Post-workshop survey |
To participate in a Library Carpentry workshop, you will need access to the software 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:
You have the option of doing this lesson in-browser through NYU's JupyterHub. Log-in with your netID and password here, and you will be able to work through the lessons in a UNIX terminal: https://tutorials-1.rcnyu.org.
Bash is a commonly-used shell that gives you the power to do simple tasks more quickly. Please find setup instructions in the lesson.
You have the option of doing this lesson in-browser through NYU's JupyterHub to avoid having to install Python and associated tools on your local computer. Log-in with your netID and password here, and you will be able to work through the lessons in a Jupyter Notebook in minutes: https://tutorials-1.rcnyu.org.
The setup instructions to run the lesson locally can be found at the workshop overview site, as well as an additional Python library required by the web scraping lesson, found at that lesson's overview site.