Mar 7-11, 2016
9:00 am - 1:00 pm
Instructors: Peter van Heusden
The material in this workshop is largely based around that produced by Software Carpentry. 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 Software Carpentry teaches and why, please see our paper "Best Practices for Scientific Computing".
Who: The course is aimed at graduate students in bioinformatics and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
Where: 5th floor, Life Sciences Building. Get directions with OpenStreetMap or Google Maps.
Requirements: Participants must bring a laptop with a few specific software packages installed (listed below). They are also required to abide by a Code of Conduct (once again borrowed from Software Carpentry).
Contact: Please mail pvh@sanbi.ac.za for more information.
| 09:00 | Workshop start and laptop check |
| 09:30 | Automating tasks with the Unix shell |
| 11:00 | Coffee |
| 11:30 | Automating tasks with the Unix shell |
| 13:00 | Wrap-up |
| 09:30 | Using the SANBI compute cluster |
| 11:00 | Coffee |
| 11:30 | Version control with Git |
| 13:00 | Wrap-up |
| 09:30 | Programming with Python |
| 11:00 | Coffee |
| 11:30 | Programming with Python |
| 13:00 | Wrap-up |
| 11:30 | Programming with Python |
| 13:00 | Lunch break |
| 14:00 | Programming with Python |
| 15:30 | Wrap-up |
| 09:30 | Programming with Python |
| 11:00 | Coffee |
| 11:30 | Programming with Python |
| 13:00 | Wrap-up |
Etherpad: http://pad.software-carpentry.org/computing-sanbi-032016.
We will use this Etherpad for chatting, taking notes, and sharing URLs and bits of code.
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.
Software Carpentry maintains 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.
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.
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 or Atom. Be aware that you must add its installation directory to your system path. Please ask your instructor to help you do this.
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 or Atom.
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 or Atom.
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).
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).
The Secure (Remote) Shell (SSH) and Secure Copy (SCP) programs allow logging in and copy data to and from remote machines.
Download the Putty SSH client (it runs from where you download it, no install necessary) and WinSCP SCP software.
MacOS comes with both SSH and SCP clients built in that can be run from the Terminal. The Terminal application also has SCP support, as explained in this StackExchange answer.
Linux comes with both SSH and SCP clients built in that can be run from the Terminal.