When you register, please be sure to fill out the pre-bootcamp survey. This is crucial for the instructors to be able to target the material appropriately to the course participants. There will be a link on the registration page.
Software Carpentry's mission is to help scientists and engineers become more productive by teaching them basic lab skills for computing like program design, version control, data management, and task automation. This two-day hands-on bootcamp will cover basic concepts and tools; participants will be encouraged to help one another and to apply what they have learned to their own research problems.
Instructors: Naupaka Zimmerman, Jonathan Strootman
Helpers: To Be Determined
Who: The course is aimed at graduate students and other researchers.
Requirements: Participants must, if at all possible, bring a laptop with the necessary software packages installed (listed below). Having your computer ready to use in your own research after the bootcamp is one of the advantages of this event. Therefore, bringing a personal laptops is VERY HIGHLY recommended. However, if any student does not have their own laptop we will try to arrange the use of a lab computer instead.
Contact: Please mail email@example.com for more information.
|09:00||Using R to script your analyses (Naupaka)|
|13:00||Automating tasks with the Unix shell (Jonathan)|
To participate in a Software Carpentry bootcamp, you will need working copies of the software described below. Please make sure to install everything (or at least to download the installers) before the start of your bootcamp.
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.
Bash is a commonly-used shell. Using a shell gives you more power to do more tasks more quickly with your computer.
Git is a state-of-the-art version control system. It 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.
R is a programming language that is especially powerful for data exploration, visualization, and statistical analysis. To interact with R, we will use RStudio, an interactive development environment (IDE).
SQL is a specialized programming language used with databases. We use a simple database manager called SQLite, either directly or through a browser plugin.
nano is the editor installed by the Software Carpentry Installer,
it is a basic editor integrated into the lesson material.
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.
Install Git for Windows by download and running the installer. This will provide you with both Git and Bash in the Git Bash program.
The default shell in all versions of Mac OS X is bash,
so no need to install anything. You access bash from
the Terminal (found
/Applications/Utilities). You may want
to keep Terminal in your dock for this workshop.
Install Git for Mac by downloading and running the installer. For older versions of OS X (10.5-10.7) use the most recent available installer available here. Use the Leopard installer for 10.5 and the Snow Leopard installer for 10.6-10.7.
The default shell is usually
but if your machine is set up differently
you can run it by opening a terminal and typing
There is no need to install anything.
If Git is not already available on your machine you can try
to install it via your distro's package manager
Kate is one option for Linux users.
In a pinch, you can use
which should be pre-installed.
You can download the binary files for your distribution
from CRAN. Or
you can use your package manager, e.g. for Debian/Ubuntu
apt-get install r-base or
yum install R.
Also, please install the
sqlite3 comes pre-installed on Linux.
you may install the Firefox SQLite browser plugin described below.
Instead of using
sqlite3 from the command line,
you may use this plugin
for Firefox instead.
To install it: