Scripts and Notebooks for experimentation.

• develop (Python): Experimental code to try out new ideas and experiments. Use Jupyter notebooks wherever you can. Naming convention: YYYY-MM-DD_userid_short-description. If you cannot use a notebook and have multiple scripts/files for an experiment, create a folder with the same naming convention. Each file should be handled by one person only.

• deliver (Python): Refactored notebooks that contain valuable insights or results (e.g. visualizations, training runs). Notebooks should be refactored, documented, contain outputs, and use the following naming schema: YYYY-MM-DD_short-description. Notebooks in deliver should not be changed or rerun. If you want to rerun a deliver Notebook, please duplicate it into the develop folder.

• templates (Python): Refactored Notebooks that are reusable for a specific task (e.g. model training, data exploration). Notebooks should be refactored, documented, not contain any output, and use the following naming schema: short-description. If you like to make use of a template Notebook, duplicate the notebook into develop folder.