Making research software sustainable

In software engineering, there is a common saying that “code is read by humans more than it is executed by computers”. Whether this is exactly true or not, one message remains: readability counts. This is even more so in research, as code is often the only available detailed description of the computational experiments of data analyses underlying your research. This lecture will cover simple techniques to make your codes easier to read - by yourself, your colleagues or your peers reproducing your research