Lightning Talks
summary
Five-minute snapshots run through concrete claims and tools: a Trump tweet analysis shows over 20,000 iPhone tweets and 73 tweets between 3:00–3:15 AM with an ipivizu notebook export; pandas nulls vs NaN fixes with nullable dtypes; scikit-learn’s set_output returning DataFrame names; DBT running Python models via a file runtime; matplotlib used to generate entire slide decks and animations; GraphBLAS backend planned for NetworkX dispatch; CADCAT for generalized dynamical systems; and a Humble Data workshop scaling beginner training in Ghana.
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chapters (11)
- 0:00Lightning talks intro
- 1:26Trump's Twitter analysis
- 6:19Null in programming
- 11:20Pandas output with scikit-learn
- 18:25DBT for data transformations
- 25:10Advanced matplotlib
- 30:25GraphBLAS and NetworkX
- 35:58CADCAT for dynamical systems
- 43:04Inconsistent talk
- 51:02Made-up Python words
- 56:58Teaching data science in Africa
