Title: Toolbox
Course: Learning path for (data) librarians: Technical skills are the bridge to reproducible research > Section: Unit 3: The technical aspects

- Join your local reproducibility network and find training materials and events in local contexts and languages:
https://www.ukrn.org/global-networks/
- Join in Carpentry activities:
https://www.youtube.com/@TheCarpentries, e.g.: Open Data and Reproducibility
- Learn more about Jupyter notebooks by following the Zero-to-Binder guides.
- Learn more about Git branching and how it works using the interactive "Learn Git Branching" tool.
- Markdown is a useful tool to format text-based cells when using Jupyter notebooks. Learn more about Markdown by following the FAIR-by-Design Markdown guide.
- Be wary of common pitfalls when using Jupyter notebooks by reading the "Reproducibility" section of the Supervised Machine Learning for Science Git Book. The part about ordering of executed cells is especially important.
- Use Cookiecutter based templates such as the one for data science by DrivenData for easy initialization of new coding environments.