May 23 & 30, June 6 & 13
9:00 am - 12:00 pm MST
Instructors: Cas Laskowski, Robin Vickery, Niamh Wallace, Heather Froehlich, Jeff Oliver
Helpers:
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 B250, University Libraries, 1501 E. University Blvd. Tucson, AZ, 85721. Get directions with OpenStreetMap or Google Maps.
When: May 23 & 30, June 6 & 13. 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. 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 jcoliver@arizona.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 |
| 09:00 | Python Intro for Libraries |
| 10:30 | Morning break |
| 10:45 | Python intro continued |
| 12:00 | END |
| Before Starting | Pre-workshop survey |
| 09:00 | Introduction to Working with Data (Regular Expressions) |
| 10:30 | Morning break |
| 10:45 | Regular expressions continued |
| 12:00 | END |
| Before Starting | Pre-workshop survey |
| 09:00 | Tidy Data |
| 10:30 | Morning break |
| 10:45 | Tidy Data continued |
| 12:00 | END |
| Before Starting | Pre-workshop survey |
| 09:00 | The UNIX Shell |
| 10:30 | Morning break |
| 10:45 | The UNIX shell continued |
| 12:00 | END |
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.
Python is a popular language for research computing, and great for general-purpose programming as well. Installing all of its research packages individually can be a bit difficult, so we recommend Anaconda, an all-in-one installer. Please find setup instructions in the lesson.
To interact with spreadsheets, we can use LibreOffice, Microsoft Excel, Gnumeric, OpenOffice.org, or other programs. Commands may differ a bit between programs, but general ideas for thinking about spreadsheets is the same.
For this lesson, if you don’t have a spreadsheet program already, you can use LibreOffice. It is a free, open source spreadsheet program.
Bash is a commonly-used shell that gives you the power to do simple tasks more quickly. Please find setup instructions in the lesson.