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Marco Bonzanini

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titleconferencedate
Static Type Analysis for Robust Data ProductsPyData London 20172017-05-05
Shows actual adoption steps: use the typing module (Python 3.5+) to annotate functions, run mypy on CI, catch concrete errors like “incompatible return value…
Talk on
Building Data Pipelines in PythonPyData London 20162016-05-06
Argues that reproducible, production-ready pipelines need concrete practices: unit tests and end-to-end tests early, Python workflow managers (demonstrates…
Talk on
Building Data Pipelines in PythonPyData London 20162016-05-06
Argues that the hard decisions are concrete: use Luigi to define task dependencies and targets, package pipeline steps as reusable Python modules, and run unit…
Talk on
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