Apr 27-28, 2015
9:00 am - 4:30 pm
Instructors: Karl Broman, Kara Woo
Helpers: Matt Pennell, Ben Weinstein, Daniel Caetano, Matt Pruett
Software Carpentry's mission is to help scientists and engineers get more research done in less time and with less pain by teaching them basic lab skills for scientific 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 researchers who are familiar with basic programming concepts (like loops, conditionals, arrays, and functions) but need help to translate this knowledge into practical tools to help them work more productively. First priority for registration will be given to affiliates of the Center for Environmental Research, Education, and Outreach, followed by the WSU community, and finally researchers from University of Idaho.
Where: Quality Inn Paradise Creek, SE 1400 Bishop Blvd rooms PC2/PC3, Pullman, WA 99163. Get directions with OpenStreetMap or Google Maps.
Requirements: Participants must bring a laptop with a few specific software packages installed (listed below). They are also required to abide by Software Carpentry's Code of Conduct.
Accessibility: The facilities for this workshop are located on the ground floor and are wheelchair accessible. Please let us know if you plan to bring a service animal, and likewise if you are allergic. Teaching materials will be available to participants before the workshop, and large print handouts can be provided on request. If you have other accessibility needs, questions, or suggestions about how we can make this workshop more accessible, please contact Kara Woo.
Contact: Please mail [email protected] for more information.
Please arrive early if you have any difficulty following the software installation instructions below
|09:00||Intro to R|
|10:45||Intro to R (cont'd.)|
|14:45||The Unix Shell|
|09:00||Version control with Git|
|10:45||Version control with Git (cont'd.)|
|13:00||Functions in R; knitr|
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.
Bash is a commonly-used shell that gives you the power to do simple tasks more quickly.
Install Git for Windows by download and running the installer. This will provide you with both Git and Bash in the Git Bash program.
This installer requires an active internet connection.
After installing R and Git Bash:
The default shell in all versions of Mac OS X is bash, so no
need to install anything. You access bash from the Terminal
/Applications/Utilities). You may want to keep
Terminal in your dock for this workshop.
The default shell is usually
bash, but if your
machine is set up differently you can run it by opening a
terminal and typing
bash. There is no need to
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.
Git should be installed on your computer as part of your Bash install (described above).
For OS X 10.9 and higher, install Git for Mac
by downloading and running
After installing Git, there will not be anything in your
as Git is a command line program.
For older versions of OS X (10.6-10.8) use the
most recent available installer for your
here. Use the Leopard installer for 10.5 and the Snow
Leopard installer for 10.6-10.8.
If Git is not already available on your machine you can try to
install it via your distro's package manager. For Debian/Ubuntu run
sudo apt-get install git and for Fedora run
sudo yum install git.
R is a programming language that is especially powerful for data exploration, visualization, and statistical analysis. To interact with R, we use RStudio.
Install R by downloading and running this .exe file from CRAN. Also, please install the RStudio IDE.
Install R by downloading and running this .pkg file from CRAN. Also, please install the RStudio IDE.
You can download the binary files for your distribution
from CRAN. Or
you can use your package manager (e.g. for Debian/Ubuntu
sudo apt-get install r-base and for Fedora run
sudo yum install R). Also, please install the
When you're writing code, it's nice to have a text editor that is optimized for writing code, with features like automatic color-coding of key words. The default text editor on Mac OS X and Linux is usually set to Vim, which is not famous for being intuitive. if you accidentally find yourself stuck in it, try typing the escape key, followed by ':q!' (colon, lower-case 'q', exclamation mark), then hitting Return to return to the shell.
nano is the editor installed by the Software
Carpentry Installer, it is a basic editor integrated into the
Notepad++ is a popular free code editor for Windows. Be aware that you must add its installation directory to your system path in order to launch it from the command line (or have other tools like Git launch it for you). Please ask your instructor to help you do this.
Text Wrangler or
In a pinch, you can use
which should be pre-installed.
Kate is one option for
Linux users. In a pinch, you can use
should be pre-installed.