Building 67 / room 1007 and Building 32 / room 3077
Apr 12-Apr 13, 2018
9:00 am - 4:30 pm
Instructors: Christopher Cave-Ayland, Steve Crouch, James Graham, Alice Harpole, Sam Mangham, Tomás Muller-Bravo, John Robinson
Helpers: Craig Rafter, Elena Vataga, Alvaro Perez Diaz
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 building and designing programs in Python, managing the development of code with version control in Git, and testing the correctness of Python code using the Nose unit test framework. Participants will be encouraged to help one another.
For more information on what we teach and why, please see our paper "Best Practices for Scientific Computing".
Who: The course is aimed at postgraduate students and postdoctoral scientists who are familiar with basic programming concepts (like loops, conditionals, arrays, and functions) and would like to learn best practice techniques and tools to develop their software more effectively and productively.
Requirements: Participants must bring a laptop with a few specific software packages installed (see below). They are also required to abide by Software Carpentry's Code of Conduct.
You must bring your own laptop! Before attending the workshop you need to install some useful and free software. For more information, see the software prerequisites.
Workshop schedule can be found at the schedule page.
We will use this Etherpad for chatting, taking notes, and sharing URLs and bits of code.
If you're interested in our training, but can't make the date, you can sign up to be notified about future events.