Learn more
Stuck on something a lesson assumed? These are all free to read online. Keep this page open in a second tab.
Python basics — variables, lists, loops
Section titled “Python basics — variables, lists, loops”- Think Python — the gentlest start, free and openly licensed
- Automate the Boring Stuff — practical Python for non-programmers
- Official Python tutorial — the authoritative reference
Working with data (pandas)
Section titled “Working with data (pandas)”- 10 minutes to pandas — the official quick tour
- Python for Data Analysis — free book by the creator of pandas
- Working with missing data — the official guide
Charts
Section titled “Charts”- From Data to Viz — choose a chart from your data type
- Python Graph Gallery — copy-paste recipes
- Matplotlib tutorials — official guide
- missingno — the missing-data plots used in Track 1
Machine learning & fairness
Section titled “Machine learning & fairness”- scikit-learn user guide — every model, explained
- Fairlearn — open-source toolkit for measuring model fairness
Policy & ethics
Section titled “Policy & ethics”- EU AI Act explorer — browse the Act by article
- Vienna Manifesto on Digital Humanism — the founding text
- European approach to microcredentials — Council Recommendation 2022/C 243/02
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Co-funded by the European Union under the Digital Europe Programme — projectEURIDICE, Grant Agreement No. 101123121. Views and opinions expressed are those of the author(s) only and do not necessarily reflect those of the European Union or the European Commission. Neither the European Union nor the granting authority can be held responsible for them.
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