More Steps in Coding: Reliable, Reusable, Understandable Code

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Code in research helps to automate the collection, analysis or visualisation of data. Although the code may fulfil your research objective, you might have wondered how to improve it, code more efficiently, or make it ready for collaboration and sharing. Perhaps you have experienced challenges with debugging or understanding it.

In this intermediate workshop, we will introduce several coding design principles and practices that ensure code is reliable, reusable and understandable, enabling participants to take their code to the next level.

The workshop will begin by introducing the key concepts using ample examples. Participants will then work in groups to apply the concepts either to code provided by the convenor or to their existing projects, with guidance from the convenor. Participants will also have the opportunity to discuss their project goals with the convenor to demonstrate how the best practices can be implemented during the coding process.

This workshop is for individuals who have some prior experience with Python and who, ideally, have a coding project that they wish to work on. Participants are encouraged to arrive with a specific objective or desired output for their coding project. For example, you might wish to pre-process your data, add a specific analysis to your project, or make your code publicly available.

We will prioritise places for students and staff in the schools of Arts & Humanities, Humanities & Social Sciences, libraries and museums. However, all are welcome to apply.

You will need your own laptop.

Number of sessions: 1