This template project provides some structure for your open data project in the MADE module at FAU. This repository contains (a) a data science project that is developed by the student over the course of the semester, and (b) the exercises that are submitted over the course of the semester.
To get started, please follow these steps:
Your data engineering project will run alongside lectures during the semester. We will ask you to regularly submit project work as milestones, so you can reasonably pace your work. All project work submissions must be placed in the project folder.
Jupyter Notebooks can be exported using nbconvert (pip install nbconvert). For example, to export the example notebook to HTML: jupyter nbconvert --to html examples/final-report-example.ipynb --embed-images --output final-report.html
During the semester you will need to complete exercises using Jayvee. You must place your submission in the exercises folder in your repository and name them according to their number from one to five: exercise<number from 1-5>.jv.
In regular intervals, exercises will be given as homework to complete during the semester. Details and deadlines will be discussed in the lecture, also see the course schedule.
We provide automated exercise feedback using a GitHub action (that is defined in .github/workflows/exercise-feedback.yml).
To view your exercise feedback, navigate to Actions → Exercise Feedback in your repository.
The exercise feedback is executed whenever you make a change in files in the exercise folder and push your local changes to the repository on GitHub. To see the feedback, open the latest GitHub Action run, open the exercise-feedback job and Exercise Feedback step. You should see command line output that contains output like this:
Found exercises/exercise1.jv, executing model...
Found output file airports.sqlite, grading...
Grading Exercise 1
Overall points 17 of 17
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By category:
Shape: 4 of 4
Types: 13 of 13