Sept 15-16, 2016
8:30am - 5:00pm
Instructors: Heidi Perrett, Kim Keogh, Amanda Miotto
Helpers: Tyler Kelly, Stephen McGregor, David Allen, Lavinia Poruschi
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: Nathan Campus, Queensland, QLD. Get directions with OpenStreetMap or Google Maps. A campus map for Nathan can also be found here Campus Map
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:
Materials will be provided in advance of the workshop and large-print handouts are available if needed by notifying the organizers in advance. If we can help making learning easier for you (e.g. sign-language interpreters, lactation facilities) please get in touch and we will attempt to provide them.
Contact: Please mail a.miotto@griffith.edu.au for more information.
Surveys
Please be sure to complete these surveys before and after the workshop.
08:30 | Automating tasks with the Unix shell |
10:15 | Coffee |
10:30 | Automating tasks with the Unix shell |
12:00 | Lunch break |
12:45 | Version control with Git |
14:00 | Hacky Hour (Optional) |
08:30 | Intro to Python |
10:30 | Coffee |
10:45 | Intro to Python (continued) |
12:00 | Lunch break |
13:00 | Building programs with Python (continued) |
14:00 | Coffee Break |
14:15 | Building programs with Python (continued) |
17:00 | Finish |
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.
Below are all the links to the lessons and the data used in them
Lessons online : http://swcarpentry.github.io/shell-novice/
Data to download: http://swcarpentry.github.io/shell-novice/shell-novice-data.zip
Please unzip after downloading. If you are in Mac or Linux, you can use the following commands:
Windows: you can download it and move it to the folder you plan on working in, then unzip it by right clicking
Mac:
curl -O http://swcarpentry.github.io/shell-novice/data/shell-novice-data.zip
unzip shell-novice-data.zip
Linux:
wget http://swcarpentry.github.io/shell-novice/data/shell-novice-data.zip
unzip shell-novice-data.zip
Lessons online : http://swcarpentry.github.io/python-novice-inflammation/
Data to download: https://github.com/swcarpentry/python-novice-inflammation/raw/gh-pages/data/python-novice-inflammation-data.zip
You need to download to your computer, use the following...
Please unzip after downloading. If you are in Mac or Linux, you can use the following commands:
Windows: you can download it and move it to the folder you plan on working in, then unzip it by right clicking
Mac:
curl -O https://github.com/swcarpentry/python-novice-inflammation/raw/gh-pages/data/python-novice-inflammation-data.zip/p>
unzip python-novice-inflammation-data.zip
Linux:
wget https://github.com/swcarpentry/python-novice-inflammation/raw/gh-pages/data/python-novice-inflammation-data.zip
unzip python-novice-inflammation-data.zip
Lessons online : http://swcarpentry.github.io/git-novice/
Data to download: None needed!
Github Sign-up: Create an account here https://github.com/join?source=button-home
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.
Sublime is the editor we will be using Sublime Text.
Sublime is the editor we will be using Sublime Text.
Sublime is the editor we will be using Sublime Text.
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., 3.5 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).
bash Anaconda-and then press tab. The name of the file you just downloaded should appear.
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.
If you have issues with these installations, please arrive to class early and an instructor can assist you in installation. Failing that, available are the ResBaz Cloud that we can use to do this work via a web browser. Please find the site below, log in via the Australia Access Federation then ask an instructor for the password. ResBaz Cloud.