PyData Amsterdam 2016
summary
The page reports concrete wins: a face recognition tutorial that runs hands-on and produces working demos, ongoing PySpark API improvements born from a real project, and a surprisingly large 300 person event with 36+ talks. Expect practical tutorials and community-driven tooling work rather than blue-sky claims or novel benchmarks. Watch if wanting usable how-tos, code that actually ships, and notes on collaborating to improve existing Python data tools; skip for new research results.
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