There are many things that can (and will) go wrong in data science applications. Unfortunately it's not just technical issues, often ethical issues will also appear. It would help if people had a checklist of things might go wrong. Enter deon.
You can find the deon project here.
If you want to install it locally you can do so via;
python -m pip install deon
Feedback? See an issue? Something unclear? Feel free to mention it here.
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