Resources

Looking for other ways to improve your programming or just to learn something new? We collected a list of resources that can help you on your journey. The following content was and is continuously inspired by our Café colleagues from VU and the Awesome research software training list.

Books and Papers on Programming

• Guide for Reproducible Coding This guide gives insights into version control, licensing, and code documentation and can help you to improve the reproducibility of your research project!
• Paper on good enough practices for scientific programming and the fitting lesson on this topic from the Carepentries These resources can help you to better structure your project and good practices right from the start.
• The Hitchhiker’s Guide to Python This handbook covers a wide range of Python-related topics.
• What They Forgot to Teach You About R Interesting R content that goes beyond data analysis.
• Book about Computational Thinking for Social Scientists This website is designed to help social science researchers to learn how to think computationally.

Workshops

Within EUR

• Data Carpentries for Social Sciences and Humanities This course gives an introduction to R and nice tools such as OpenRefine. If you are an R beginner, attending this course is recommended. The next session will be in March 2026.
• Introduction to Python for Researchers In January this course will give you an introduction to Programming Fundamentals using Python.

National level

• Netherlands eScience center The eScience center regularly offers intermediate programming courses for researchers and support staff