lucaferranti
commented
2 years ago text I used to advertise the workshop in my group teams
Do you write code for your research? Do you manage data? Most importantly, are you doing it properly? Has it ever happened to you to have to rewrite or simply copy-paste codes from one folder to another, possibly losing things during the process? Have you ever opened an old code you wrote and had no clue what it does? Maybe you feel you waste a lot of time doing a lot of manual work to process your data and would like to automate it?
If you answered yes to any of the previous questions, then you are strongly encouraged to participate to the CodeRefinery Workshop on 22 - 24 March and 29 - 31 March, it will be fully online and free. Topics covered in the workshop include
- using git to maintain your codes and collaborate with others
- Principles of reproducible research and FAIR
- Good coding practices in general (writing documentation, testing, how to choose an appropriate license)
The Workshop will not teach you to code, but all the "good practice skills" that are needed to write good maintainable software and achieve reproducible research.
The workshop will alternate type along tutorials given by instructors to break-out room exercises where you will get to practice. Each breakout room will have an exercise leader to help you. You can also register as a team, in which case the team will be in the same break out room, each team can propose their own exercise leader otherwise they will be assigned one. If you already have some experience and would like to strengthen your skills and help others, you can also volunteer as a leader.
More information and registration form on the workshop page: https://coderefinery.github.io/2022-03-22-workshop/
CodeRefinery online workshop in best practices and tools for research software, March 22-24 and 29-31, 2022
In this course, you will become familiar with tools and best practices for version control and reproducibility in modern research software development. The main focus is on using Git for efficiently writing and maintaining research software.
We will not teach programming, but we teach the tools you need to use programming well. 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.
This is an informal and interactive online event with type-along type of presentations, live coding, and demos. Short tutorials alternate with practical exercises.
Further information and registration: https://coderefinery.github.io/2022-03-22-workshop/
We also look for helpers and exercise leads who will help a small group of learners in exercise breakout rooms. This is a great learning opportunity and a huge help for the project to be able to scale to as many learners as possible.