University of Southampton

Old Thorns Manor Hotel Gold & Country Estate

Longmoor Road

Nov 8-Nov 9, 2017

9:30 am - 5:00 pm

Instructors: Steve Crouch, John Robinson, Alistair Bailey, Arshad Emmambux

Helpers: Dan Locke, James Richings, James Graham

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 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.

Where: Old Thorns Manor Hotel Gold & Country Estate. Get directions with OpenStreetMap or Google Maps

Requirements: Participants must bring a laptop with a few specific software packages installed (listed here). They are also required to abide by Software Carpentry's Code of Conduct.

Contact: Please email for more information.

What should I bring with me?

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.

Keep in touch during the workshop with Etherpad

We will use this Etherpad for chatting, taking notes, and sharing URLs and bits of code.

Register an interest in our course for possible future dates

If you're interested in our training, but can't make the date, you can sign up to be notified about future events.