Nov 11-12, 2017
9:00 am - 5:00 pm
Instructors: Adnan Qureshi, Farah Shamma, Balan Ramesh, Daren Card, James Titus-McQuillan, Anna Williford
Helpers: Ayda Mirsalehi, Devendra Umbrajkar, Raisaamin Mustafi
Software Carpentry's mission is to help scientists across all disciplines 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.
Who: The course is aimed at anyone who is interested in learning new computational tools. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
Where: UTA campus, Main Library, 6th floor . 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.
Contact: If you have questions about the workshop please email to awillifo@uta.edu. For help with software installation please email to balan.ramesh@uta.edu .
09:00 | Pre-workshop Survey |
09:10 | Introduction to R 1 |
10:45 | Coffee |
11:00 | Introduction to R 2 |
12:30 | Lunch break |
1:30 | Unix shell 1 |
3:00 | Coffee |
3:15 | Unix shell 2 |
09:00 | Writing R scripts |
10:45 | Coffee |
11:00 | Data visualization in R |
12:30 | Lunch break |
1:30 | Reproducible Research Workflows with R |
3:00 | Coffee |
3:15 | Version control with git and github |
4:45 | Post-workshop Survey |
Etherpad: http://pad.software-carpentry.org/2017-11-11-UTA.
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.
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 in
/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
install anything.
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).
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 the most recent "mavericks" installer from
this list.
After installing Git, there will not be anything in your /Applications
folder,
as Git is a command line program.
For older versions of OS X (10.5-10.8) use the
most recent available installer labelled "snow-leopard"
available here.
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
.
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.
You can use your favorite text editor. If you do not have one, we recommend
Notepad++.
Be aware that you must
add its installation directory to your system path.
To add Notepad++ to the path:
1) Open Git-Bash from the start menu.
2) Type: cd [enter] to make sure you are in your home directory.
3) Type: notepad .bashrc [enter]. This will create .bashrc file in Notepad.
Add the following text to the file:
export PATH=$PATH:"C:\Program Files (x86)\Notepad++"
alias npp=notepad++
4) Save the file and exit Notepad.
5) Open a new Git-Bash window. You should now be able to launch Notepad++ by typing: npp [enter].
If you run into trouble please ask your instructor to help you with this.
You can use your favorite text editor. If you do not have one, we recommend Text Wrangler.
You can use your favorite text editor. If you do not have one, we recommend Gedit.
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
run sudo apt-get install r-base
and for Fedora run
sudo yum install R
). Also, please install the
RStudio IDE.