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“Speaking to you guys is way quicker than Googling it, and generally more successful”.

What is a code clinic?

Code Clinics are bookable on-demand software consultation/support sessions run by the ICCS RSE team. They are open to anyone affiliated with a VESRI programme looking to get help with programming problems and general advice on best practice.

At each session, members of the RSE will be available to review code, advise, troubleshoot and suggest ways to improve your computational workflows.

Book a Session using our online booking form link below

Book a Climate Code Clinic

 

Who

The sessions are open to anyone affiliated with a VESRI team and can provide help with software problems and general advice on software engineering best practice. 

For those who are:

  • Looking for help with a coding problem.
  • Wanting to explore possible ways to improve your code?
  • Looking for ways to make your code or workflows more reproducible.
  • Looking to improve performance of your code or understanding the step of how to profile.
  • Wanting to automate a task?
  • Unsure of which software tools to use for your project?
  • You have a lot of data and need help organising, storing, accessing or visualising it?
  • Need help with version control?
  • Want to know more about making your code open and/or citable?
  • Seeking informal mentoring (by requesting regular help sessions).

 

What

Once you have requested a session these will be reviewed during the ICCS weekly planning meeting and an ICCS engineer will contact you via email to arrange a suitable time. We will share a Teams meeting with you once this is agreed.

 

Notes on preparing for your session

  • Please provide examples of the code you are working on, if possible. Often the best way to do this is via a “Minimal, Reproducible Example” (https://stackoverflow.com/help/minimal-reproducible-example) but sometimes this isn’t possible. It is good software engineering practice to share code using collaborative version control (e.g. GitHub) and it is good open research practice to do this publicly, although these practices are not always possible. If your code is on a private GitLab or GitHub then please let us know in the description.
  • Sometimes helping with the problem requires us to understand your data. Sharing data is not always possible. A readme or data dictionary is particularly useful in these situations.
  • Please provide any information you can on the hardware, operating system, packages you are using.

 

Limitations

We will be able to look through code with you during the session but will be unable to spend time on it outside of the help sessions. The more you do to prepare the more you will get out of the time you spend with our engineering. If you're unsure then book a first session and we can provide you with some guidance for further sessions.

 

About Us

Computational modelling is key to climate science. But models are becoming increasingly complex as we seek to understand our world in more depth and model it at higher fidelity. The Institute of Computing for Climate Science studies and supports the role of software engineering, computer science, artificial intelligence, and data science within climate science.

The institute comprises a collaboration between Cambridge Zero, the Departments of Applied Mathematics and Theoretical Physics (host department of the institute), Computer Science and Technology, and University Information Services at the University of Cambridge.

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