~/talks

Nick Radcliffe

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titleconferencedate
Test-Driven Data AnalysisPyData London 20262026-06-05
Methodology and an open-source Python package tdda deliver concrete results: automatic constraint generation and discover/verify/detect workflows validate data…
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Test-Driven Data Analysis in PythonPyData London 20242024-06-14
Claims a concrete methodology plus an open-source Python toolset: the tdda library for discovering constraints from training data, Rexy for inferring regular…
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Parallelism the Old Way: Using MPI in Python with mpi4pyPyData London 20222022-06-17
Demonstrates using MPI4Py for real Python parallelism: shows blocking send/recv, how small messages get copied but larger ones hit a ~32KB buffering cutoff and…
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Test-Driven Data AnalysisPyData London 20182018-04-26
Shows a concrete workflow: install tdda with pip, use reference tests to capture inputs and outputs and auto-update golden files, and run tdda…
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Anomaly DetectionPyData London 20182018-04-26
Workshop previews a concrete anomaly workflow: use Python, pandas and the TDDa library to write concrete constraints (uniqueness, min/max, allowed values), run…
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Developments in Test-Driven Data AnalysisPyData Berlin 20172017-06-23
Test‑driven data analysis applies concrete checks: reference tests capture inputs code and expected outputs, while automatic constraint discovery generates…
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Test-Driven Data AnalysisPyData London 20172017-05-05
Claims a reproducible workflow: capture inputs and outputs, run reference tests that can auto‑regenerate expected results, and infer constraints on Pandas…
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