Software Carpentry: University of Tasmania

General Information

Data Science Hobart is pleased to announce its second ever Software Carpentry workshop.

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: IMAS Building, Hobart Waterfront. 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.

Accessibility: We are committed to making this workshop accessible to everybody. The workshop organisers have checked that:

The room is wheelchair / scooter accessible.
Accessible restrooms are available.

If there's anything else we can do to help making learning easier for you please get in touch and we will attempt to help out.

Contact: Please mail irving.damien@gmail.com for more information.

Schedule

Surveys

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

Pre-workshop Survey

Post-workshop Survey

Classes

Participants can elect to participate in the R or Python stream. Both streams are fairly similar in the topics they cover, but in the later sessions the Python stream will go into slightly more advanced topics such as testing and defensive programming. The (approximate) class schedule for each stream is as follows:

Date	Rooms	R Stream	Python Stream
Fri 26 Aug	IMAS 103 & IMAS 105 (joint class)	Unix shell: navigation, files and directories	Unix shell: navigation, files and directories
Fri 02 Sep	IMAS 107 (joint class)	Unix shell: pipes, loops, shell scripts, finding things	Unix shell: pipes, loops, shell scripts, finding things
Fri 09 Sep	CSIRO Canteen (Python) & IMAS 107 (R)	R: Introduction to R and RStudio; Seeking Help; Data Structures	Python: an introductory data analysis example
Fri 16 Sep	CSIRO Freycinet (Python) & IMAS 107 (R)	R: Exploring Data Frames; Subsetting Data; Control Flow	Python: loops, lists, conditionals and functions
Fri 23 Sep	IMAS 103 (Python) & IMAS 105 (R)	R: Creating Publication-Quality Graphics	Python: testing and defensive programming
Fri 30 Sep	IMAS 103 (Python) & IMAS 105 (R)	R: Vectorization; Functions Explained	Python: command line programs and debugging
Fri 07 Oct	IMAS 103 (Python) & IMAS 105 (R)	R: Writing Data; Split-Apply-Combine	Python: tour of the scientific Python stack, question and answer session
Fri 14 Oct	IMAS 107 (joint class)	Git: Version control	Git: Version control

Lesson notes for all these sessions can be found at the Software Carpentry lessons page.

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

Setup

To participate in the Software Carpentry workshop, you will need access to the software described below. (Install Python or R depending on which stream you'd like to participate in - the Bash Shell, Git and a text editor are required for both streams.) In addition, you will need an up-to-date web browser.

If you have any problems installing the software, feel free to attend the regular Data Science Hobart meetup on the Friday before the workshop (9:15 - 10:15am, Friday 19 August, IMAS Building). Our instructors will be on hand to help you out.

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

Video Tutorial

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".
If your "HOME" environment variable is not set (or you don't know what this is):
1. Open command prompt (Open Start Menu then type cmd and press [Enter])
2. Type the following line into the command prompt window exactly as shown:
  setx HOME "%USERPROFILE%"
3. Press [Enter], you should see SUCCESS: Specified value was saved.
4. Quit command prompt by typing exit then pressing [Enter]

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). 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.

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).

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.

Windows

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

Mac OS X

Video Tutorial

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

Video Tutorial

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. See the Git installation video tutorial for an example on how to open nano. 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

Video Tutorial

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

Video Tutorial

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 Anaconda3-
```
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).

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

Video Tutorial

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

Mac OS X

Video Tutorial

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.