Hello! This project is organized with a typical data science project structure:

• notebook contains Jupyter notebooks: code that has been run at a specific point in time.
• data contains all (raw and processed) data.
• paper contains all figures, documents, presentations, related to this project.
• src contains source files (e.g. *.py): code that is meant to be executed multiple times, in multiple notebooks.

Each of these directories contains a small README with further information on how the project is organized. It helps reproducibility if all Python code in this project is run inside the Conda environment specified by environment.yml.

Feel free to modify the .gitignore files in order for git to include only the files that should actually be in the repository (so that e.g. git add . always add only the file you actually want).