Online
Sep 14-17, 2021
1:00pm - 5:00pm ET
Instructors: Ruth Nanjala, Abigail Sparling, Donny Winston
Helpers: Steve Chang, Jenna McGuire, Amanda Rinehart, Jelmer Poelstra, Cameron Erdman, Andrew Shen
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.
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.
Where: This training will take place online. The instructors will provide you with the information you will need to connect to this meeting.
When: Sep 14-17, 2021. Add to your Google Calendar.
Requirements: 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).
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 rinehart.64@osu.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 |
| 13:00 | Setup and Troubleshooting |
| 13:15 | Introductions |
| 13:30 | The Unix Shell (1-3) |
| 14:40 | Break |
| 14:55 | The Unix Shell (5) |
| 15:50 | Break | 16:05 | Data Analysis with Python (1-2) | </tr>
| 16:45 | Wrap-up |
| 13:00 | Setup and Troubleshooting |
| 13:15 | Introduction to Git (1-3) |
| 14:25 | Break |
| 14:40 | Introduction to Git (4-5) |
| 15:50 | Break | 16:05 | Data Analysis with Python (3-4) | </tr>
| 16:50 | Wrap-up |
| 13:00 | Setup and Troubleshooting |
| 13:15 | OpenRefine (1-4) |
| 14:25 | Break |
| 14:40 | OpenRefine (5-9) |
| 15:50 | Break | 16:05 | OpenRefine (10-12) | </tr>
| 16:55 | Wrap-up |
| 13:00 | Setup and Troubleshooting |
| 13:15 | Data Analysis with Python (5) |
| 14:25 | Break |
| 14:40 | Data Analysis with Python (6-7) |
| 15:30 | Break | 15:45 | Data Analysis with Python (8-10) | </tr>
| 16:45 | Wrap-up |
| 16:55 | 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.
The setup instructions for the Data Carpentry Social Sciences workshops (with Python) can be found at the workshop overview site.
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:
Bash is a commonly-used shell that gives you the power to do simple tasks more quickly. Please find setup instructions in the lesson.
OpenRefine is a tool to clean up and organize messy data. Please find instructions to install it and the data used in the lesson in the lesson.
Git is a version control system that lets you track who made changes to what when and has options for easily updating a shared or public version of your code on https://github.com.
Follow the instructions on the lesson to install Git on your system.
You will need an account at github.com for parts of the Git lesson. Basic GitHub accounts are free. We encourage you to create a GitHub account if you don't have one already. Please consider what personal information you'd like to reveal. For example, you may want to review these instructions for keeping your email address private provided at GitHub. You will need a supported web browser.
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.
Regardless of how you choose to install it, please make sure you install Python version 3.x (e.g., 3.6 is fine).
We will teach Python using the Jupyter Notebook, a programming environment that runs in a web browser (Jupyter Notebook will be installed by Anaconda). For this to work you will need a reasonably up-to-date browser. The current versions of the Chrome, Safari and Firefox browsers are all supported (some older browsers, including Internet Explorer version 9 and below, are not).
bash Anaconda3-and then press Tab to autocomplete the full file name. The name of file you just downloaded should appear.
yes and press enter to approve the license.
Press Enter (or Return)
to approve the default location
for the files.
Type yes and press
Enter (or Return)
to prepend Anaconda to your PATH
(this makes the Anaconda distribution the default Python).