Keynote: Built in Super Heroes
summary
Argument: Python’s real power is its built-in types and small stdlib tools not fancy libraries. Uses csv module plus tuples lists sets dicts namedtuple Counter defaultdict and comprehensions to load a 130000-row CSV of Chicago health inspections, clean messy business names, and build a defaultdict of Counters to group failures by year and address. Results show surprising clusters like ~181 failed inspections tied to O Hare and top failing chains after cleaning so the approach works.
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chapters (7)
- 0:00Introduction
- 3:09Built-in types secret weapon
- 6:59Core built-in types review
- 16:49Chicago food data analysis
- 26:05Worst food locations in Chicago
- 33:11Clustering and data exploration
- 41:12Takeaways and closing
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