25 September, 2017
Instructors: Rachel King, Russell Waldron, Francis Gacenga
Helpers: Samanthi Suraweera, Richard Young, Ron Ward
Software Carpentry's mission is to help researchers get more research done in less time and with less pain by teaching them basic lab skills for research computing. This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.
For more information on what we teach and why, please see our paper "Best Practices for Scientific Computing".
Who: The course is aimed at research staff and students. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating sytem (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below). They are also required to abide by Software Carpentry's Code of Conduct.
Accessibility: We are committed to making this workshop accessible to everybody. The workshop organisers have checked that:
Contact: Please mail eResearchServices@usq.edu.au for more information.
Please be sure to complete these surveys before and after the workshop.
|09:00||R for Reproducible Scientific Analysis|
|10:45||R for Reproducible Scientific Analysis|
|11:30||R for Reproducible Scientific Analysis|
|12:30||Automating tasks with the Unix shell|
|14:15||Version control with Github|
We will use this Etherpad for chatting, taking notes, and sharing URLs and bits of code.
To participate in a Software 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.
Bash is a commonly-used shell that gives you the power to do simple tasks more quickly. We will use Jupyter.
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 github.com. You will need a supported web browser (current versions of Chrome, Firefox or Safari, or Internet Explorer version 9 or above).
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.