Software Carpentry: UCSB

General Information

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: UCSB Library. 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 remi.daigle@utoronto.ca for more information.

Schedule

Surveys

Please be sure to complete these surveys before and after the workshop.

Pre-workshop Survey

Post-workshop Survey

Live Notes Google Doc

Zipped Data Folder

Day 1

09:00	Intro to programming concepts with the Unix shell
10:30	Coffee
12:00	Lunch break
13:00	Intro to R and RStudio
14:30	Coffee
16:00	Wrap-up

Day 2

09:00	Reproducible workflow and Version control with Git, Github, and R Markdown
10:30	Coffee
12:00	Lunch break
13:00	Data wrangling and visualization in R
14:30	Coffee
16:00	Wrap-up

Syllabus

Intro to programming concepts with the Unix shell

Intoduction to programming concepts
Files and directories (absolute v. relative paths)
Pipes and redirection
Looping over files
Reference...

Intro to R and RStudio

Intro to the RStudio interface
Working with vectors and data frames
Loops and conditionals
Reading data
Creating and using functions
Loading packages
Interfacing between R and the Unix shell
Data handling with dplyr
Reference...

Reproducible workflow and Version control with Git, Github, and R Markdown

Creating a repository
Recording changes to files: add, commit, ...
Viewing changes: status, diff, ...
Ignoring files
Working on the web: clone, pull, push, ...
Resolving conflicts
Open licenses
Hosting files on GitHub, and why
Dynamic documents with R Markdown
Reference...

Data wrangling and visualization in R

Tidying data with tidyr
Subsetting by rows or columns with dplyr
Joining tables with dplyr
Aggregating functions with dplyr
Visualization with ggplot2
Reading and visualizing spatial objects
Producing interactive visualizations on GitHub with HTML Widgets
Reference...

Setup

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.

The Bash Shell

Bash is a commonly-used shell that gives you the power to do simple tasks more quickly.

Windows

Download the Git for Windows installer.
Run the installer and follow the steps bellow:
1. Click on "Next".
2. Click on "Next".
3. Click on "Next".
4. Click on "Next".
5. Click on "Next".
6. Select "Use Git from the Windows Command Prompt" and click on "Next". If you forgot to do this programs that you need for the workshop will not work properly. If this happens rerun the installer and select the appropriate option.
7. Click on "Next". Keep "Checkout Windows-style, commit Unix-style line endings" selected.
8. Select "Use Windows' default console window" and click on "Next".
9. Click on "Next".
10. Click on "Finish".

This will provide you with both Git and Bash in the Git Bash program.

Mac OS X

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.

Linux

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 and Github Desktop app

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). The Github Desktop app is an easy to use interface for using Git locally and communicating with github.com.

Windows

Git should be installed on your computer as part of your Bash install (described above). Also, please install the Github Desktop app.

Mac OS X

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. Also, please install the Github Desktop app. For older versions of OS X (10.5-10.8) use the most recent available installer labelled "snow-leopard" available here. Also, please install the Github Desktop app.

Linux

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. Also, please install the Github Desktop app.

Text Editor

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.

Windows

nano is a basic editor and the default that instructors use in the workshop. To install it, download the Software Carpentry Windows installer and double click on the file to run it. This installer requires an active internet connection.

Others editors that you can use are Notepad++ or Sublime Text. Be aware that you must add its installation directory to your system path. Please ask your instructor to help you do this.

Mac OS X

nano is a basic editor and the default that instructors use in the workshop. It should be pre-installed.

Others editors that you can use are Text Wrangler or Sublime Text.

Linux

nano is a basic editor and the default that instructors use in the workshop. It should be pre-installed.

Others editors that you can use are Gedit, Kate or Sublime Text.

R

R is a programming language that is especially powerful for data exploration, visualization, and statistical analysis. To interact with R, we use RStudio.

Windows

Install R by downloading and running this .exe file from CRAN. Also, please install the RStudio IDE.

Mac OS X

Install R by downloading and running this .pkg file from CRAN. Also, please install the RStudio IDE.

Linux

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.