Apr 24-25, 2017
9:00 am - 4:30 pm
Instructors: Jeff Stafford, Charlie Hindmarch, Jake Kaupp
Helpers: Hartmut Schmider, Gang Liu
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 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: Douglas Library Electronic Classroom (Room 416), Kingston, ON. Get directions with OpenStreetMap or Google Maps.
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.
Contact: Please mail jeff.stafford@queensu.ca for more information.
Surveys
Please be sure to complete these surveys before and after the workshop.
09:00 | Programming with R |
10:30 | Coffee |
12:00 | Lunch break |
13:00 | Automating tasks with the Unix shell |
14:30 | Coffee |
16:00 | Wrap-up |
09:00 | Version control with Git |
10:30 | Coffee |
12:00 | Lunch break |
13:00 | Programming with R (continued) |
14:30 | Coffee |
16:00 | Wrap-up |
dplyr
ggplot2
knitr
add
, commit
, ...status
, diff
, ...clone
, pull
, push
, ...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.
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.
Bash is a commonly-used shell that gives you the power to do simple tasks more quickly.
Since Bash is not installed on Windows, we will use a lightweight version called MSYS2 to provide Bash and Git instead. Follow these instructions to install and setup MSYS2:
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
).
See the Git installation video tutorial
for an example on how to open the Terminal.
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).
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.
Git should be installed on your computer as part of your Bash install (described above). If you wish to use the native Git client for Windows (Git Bash), you can download it here.
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 install git
and for Fedora run
sudo dnf install git
.