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Zac Hatfield-Dodds

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Notes, Groups and Stars: exceptional new features of Python 3.11!PyCon US 20252025-05-16
Python 3.11 actually adds concrete error‑handling tools: add_note() annotations, hierarchical ExceptionGroup objects, and the new except syntax for selective…
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Is my Large Language Model a Strange Loop?Strange Loop 20232023-09-21
Claims that language models evolve internal algorithms get backed by concrete probes: convolutional features can be replaced with hand‑written vision code…
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Introduction to Property-Based TestingPyCon US 20232023-04-19
Introduction covers property-based testing using Hypothesis and pytest with runnable examples that actually find bugs: a NaN case breaking sort, floating-point…
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Async: scaling structured concurrency with static and dynamic analysisPyCon US 20232023-04-19
Async python is a relatively recent addition to Python’s longstanding concurrency options of processes and threads - and offers a very different programming…
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Introduction to Property Based TestingPyCon US 20222022-04-27
Property‑based testing claims that specifying invariants rather than cases uncovers real edge‑case failures: Hypothesis drives generation (default ~100…
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Fully Automated TestingPyOhio 20212021-07-31
Hypothesis adds a CLI called Ghostwriter that generates property tests from function names and signatures and it immediately finds missing cases like the key…
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Introduction to Property-Based TestingPyCon US 20212021-05-14
Introduction teaches Hypothesis with concrete code, not just theory: it runs the @given decorator, uses st.integers().filter(lambda b: b != 0) and pytest…
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Stop writing tests!PyCon India 20202020-10-02
Argues to write fewer hand-crafted cases and rely more on property-based tests that check general invariants and generate inputs automatically. Demonstrates…
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Stop Writing Tests!PyConline AU 20202020-09-04
Argues to write fewer hand-crafted examples and automate the hard choices by generating and checking properties; shows using pip install hypothesis to write…
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Sufficiently Advanced TestingPyCon AU 20192019-08-02
Covers concrete techniques and working demos: Hypothesis minimization that automatically shrinks failing cases to a tiny repro, implementations of fuzzing…
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Lightning Talks - SundayPyCon AU 20172017-08-03
A rapid fire set of practical outcomes and gotchas: a custom CI (Beekeeper + Waggle) runs Docker on AWS ECS and cuts project CI to about $30/month vs $700–$800…
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