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Andreas Schreiber

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titleconferencedate
Provenance for Reproducible Data SciencePyData Seattle 20172017-06-30
Claims that provenance captured with the W3C PROV model and Python libraries can make data analytics reproducible are backed by concrete work: provenance from…
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Quantified Self: Analyzing the Big Data of our Daily LifePyData Berlin 20142014-07-25
Claims that self-tracking yields actionable results — blood pressure logs lead to medication changes — and demonstrates the actual tooling and limits: pandas…
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Python for High Performance and Scientific ComputingEuroPython 20112011-06-20
German space-agency teams use Python to wrap and drive existing C/C++ simulation libraries, keeping validated solvers and adding NumPy/SciPy front ends…
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