Software Carpentry: University of Dundee

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. Applicants must be affiliated with either the University of Dundee or the James Hutton Institute. You don't need to have any previous knowledge of the tools that will be presented at the workshop.

Where: Room 1G04, Dalhousie Building, University of Dundee, Dundee, Scotland, UK, DD1 5EN. Get directions with OpenStreetMap or Google Maps.

Requirements: Bring an open mind. The venue has computers ready and set-up with everything required. Participants may bring their own laptop with a few specific software packages installed (listed below). All participants are required to abide by Software Carpentry's Code of Conduct.

For JHI participants who do not have a university login, temporary visitor accounts will be available for accessing the University computers and WiFi. Please could you also register for a UoD external account at Life Sciences giving Dr Chris Cole as your sponsor.

Contact: Please mail c.cole@dundee.ac.uk for more information.

Schedule

Day 1

Arrival	Pre-workshop Survey
09:00	Automating tasks with the Unix shell
10:30	Coffee
12:00	Lunch break
13:00	Version control with Git
14:30	Coffee
16:00	Wrap-up

Day 2

09:00	Building programs with Python
10:30	Coffee
12:00	Lunch break
13:00	R for reproducible scientific analysis
14:30	Coffee
16:00	Wrap-up
Dismissal	Post-workshop Survey

Etherpad: http://pad.software-carpentry.org/2016-01-11-dundee.
We will use this Etherpad for chatting, taking notes, and sharing URLs and bits of code.

Syllabus

The Unix Shell

Files and directories
History and tab completion
Pipes and redirection
Looping over files
Creating and running shell scripts
Finding things
Reference...

Version Control with Git

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
Where to host work, and why
Reference...

Programming in Python

iPython notebooks

The URL for the notebooks containing this lesson is http://mybinder.org/repo/davidmam/python-novice-inflammation

Using libraries
Working with arrays
Reading and plotting data
Creating and using functions
Loops and conditionals
Defensive programming
Using Python from the command line
Reference...

R for reproducible scientific analysis

Introduction to R and RStudio
Project management with RStudio
Reading data
Seeking help
Data structures
...
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 will be using a university-provided desktop environment but, if you would prefer to use your own laptop, the following software should be installed prior to arrival at the workshop.

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

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).

Windows

Git should be installed on your computer as part of your Bash install (described above).

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. For older versions of OS X (10.5-10.8) use the most recent available installer labelled "snow-leopard" available here.

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.

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.

Python

Python is a popular language for scientific computing, and great for general-purpose programming as well. Installing all of its scientific packages individually can be a bit difficult, so we recommend Anaconda, an all-in-one installer.

Regardless of how you choose to install it, please make sure you install Python version 3.x (e.g., 3.4 is fine).

We will teach Python using the IPython notebook, a programming environment that runs in a web browser. For this to work you will need a reasonably up-to-date browser. The current versions of the Chrome, Safari and Firefox browsers are all supported (some older browsers, including Internet Explorer version 9 and below, are not).

Windows

Open http://continuum.io/downloads with your web browser.
Download the Python 3 installer for Windows.
Install Python 3 using all of the defaults for installation except make sure to check Make Anaconda the default Python.

Mac OS X

Open http://continuum.io/downloads with your web browser.
Download the Python 3 installer for OS X.
Install Python 3 using all of the defaults for installation.

Linux

Open http://continuum.io/downloads with your web browser.
Download the Python 3 installer for Linux.
Install Python 3 using all of the defaults for installation. (Installation requires using the shell. If you aren't comfortable doing the installation yourself stop here and request help at the workshop.)
Open a terminal window.
Type
```
bash Anaconda-
```
and then press tab. The name of the file you just downloaded should appear.
Press enter. You will follow the text-only prompts. When there is a colon at the bottom of the screen press the down arrow to move down through the text. Type yes and press enter to approve the license. Press enter to approve the default location for the files. Type yes and press enter to prepend Anaconda to your PATH (this makes the Anaconda distribution the default Python).

Once you are done installing the software listed above, please go to this page, which has instructions on how to test that everything was installed correctly.

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.