Steven Lott
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where they keep going back
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who talks about the same things
- James Powell43 talks
- Christopher Neugebauer29 talks
- Moshe Zadka13 talks
- Harry Percival10 talks
- Aja Hammerly31 talks
- Larry Hastings9 talks
| title | conference | date |
|---|---|---|
| Unlearning SQL | PyCon US 2025 | 2025-05-16 |
Claim: treat SQL as a design language and implement Select/From/Where/GroupBy/Having pipelines in Python to avoid database overheads for transient data… | ||
| Type Hints: Putting more Buzz in your Fizz | PyCon US 2020 | 2020-04-15 |
Shows concrete results: runs mypy and tox, annotates an over‑engineered fizzbuzz implementation, and fixes a real mismatch where returns mix strings and ints… | ||
| Keynote: A Sailor's View of Python And the idea of "Defensive Programming" | PyData DC 2018 | 2018-11-16 |
Argues that reliable Python systems need explicit design envelopes, detection, and practiced recovery not vague best practices, citing a midnight diesel leak… | ||
| Five Kinds of Python Functions | PyData DC 2018 | 2018-11-16 |
Defines five concrete function forms and shows what each actually buys: plain defs for single-expression returns, higher-order map chains are lazy with… | ||
| Avoiding Bad Database Surprises: Simulation and Scalability | PyData DC 2018 | 2018-11-16 |
Argues that prevention is possible by simulate early and simulate often, using Python to build a tiny processing nucleus, a JSON Schema–driven generator of… | ||
| NoSQL doesn't mean No Schema | PyData DC 2016 | 2016-10-07 |
Claim: NoSQL still has a schema and it belongs in code. Uses Python plus the jsonschema validator and BSON (Pongo) to embed a JSON Schema dictionary in a model… | ||
| The Five Kinds of Python Functions | PyData DC 2016 | 2016-10-07 |
Clear claims and runnable code: five concrete function types are demonstrated with working examples — diesel-engine RPM case study (a naive model then a fitted… | ||
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