CodeRefinery workshop - Teaching researchers in sustainable software development
The aim of this course is to demonstrate to and familiarize the workshop participants with best practices and tools in modern research software development. The main focus is on professional tools for efficiently writing and maintaining research software. Since most research code is developed in a collaborative setting, we will discuss tools and workflows which facilitate this process. Most of the content is also relevant to a single researcher.
11.06.2019 kl. 09.00 - 13.06.2019 kl. 17.00
Hands-on informal and interactive three-day event with type-along type of presentations, live coding and demos. Short tutorials alternate with practical exercises.
Who the course is for
Are you doing any of these things below:
- You write scripts to process data.
- You change scripts written by your colleagues.
- You write code that is used in research by you or others.
If yes, then this course is for you. Most participants are not "professional code developers" or computer scientists.
If you develop research code and you know all the tools already, join us as a helper! It's fun, and you always learn something new about a subject by teaching it.
What we will not teach
This is not a course about a specific programming language or the Linux/Unix terminal shell. We assume that you are familiar with the programming language that you use in your work and research. We try to keep the course as language-independent as possible but we will show some basic code examples in Python.
- You should be able to navigate the file tree in a terminal session and edit text files in the terminal.
- Basics in at least one programming language.
- You will need to bring a laptop.
- It is good if you have access to Eduroam.
- You need to install some software. Please follow links in the schedule.
- It is useful if you have a basic idea of how Git works. We will start from the basics, but please go through this Git-refresher material for a basic overview and important configuration steps.
Free of charge
CLAAUDIA - Research Data services
Aalborg University, Frederik Bajers Vej 7G, room 5-112