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PyData 2015 - Paris

Keynotes

  • [Opening Keynote] by Gaël Varoquaux (Inria) -- Link to Video
  • [Closing Keynote] by Francesc Alted (UberResearch GmbH) -- Link to Video

Talks

  • [Introduction to scikit-image] by Emmanuelle Gouillart (CNRS) -- Link to Video
  • [Linear predictions with scikit-learn: simple and efficient] by Alexandre Gramfort (Telecom ParisTech) -- Link to Video
  • [Cleaning Confused Collections of Characters] by Ian Ozsvald (Mor Consulting) -- Link to Video
  • [Reaching your DREAMs with Python] by Chloe-Agathe Azencott (Mines ParisTech) -- Link to Video
  • [Tree models with scikit-learn] by Gilles Louppe (CERN) -- Link to Video
  • [Whitening the blackbox: Why and how to explain machine learning predictions] by Christophe Bourguignat (DIL), Marcin Detyniecki (DIL), Bora Enag (Bluestone)-- Link to Video
  • [Embarrassingly parallel database calls with Python] by Niels Zeilemaker (GoDataDriven) -- Link to Video
  • [Introduction to Pandas] by Joris Van Den Bossche (Ghent University) -- Link to Video
  • [Industrial Monitoring with the Wendelin Big Data platform] by Jean-Paul Smets and Sébastien Robin (Nexedi) -- Link to Video
  • [Python, SQLalchemy and Scrapy for real-time data processing at Kpler] by Jean Maynier (Kpler) -- Link to Video
  • [scikit-learn for predictive maintenance at Airbus] by Fabien Mangeant et Vincent Feuillard (Airbus) -- Link to Video
  • [Using Python and Data science to tackle real-time transportation problems at Lyft] by Clément Jambou (Lyft) -- Link to Video
  • [Pythran: Static Compilation of Parallel Scientific Kernels] by Serge Guelton and Pierrick Brunet (Namek) -- Link to Video
  • [Numba, a JIT compiler for fast numerical code] by Antoine Pitrou (Continuum Analytics) -- Link to Video
  • [Out-of-core NumPy arrays without changing your code with wendelin-core] by Kirill Smelkov (Nexedi) -- Link to Video
  • [Industrial uses of Scikit-Learn] by Julien Sananikone (PriceMinister), Benjamin Guinebertière (Microsoft), Samuel Charron (Data Publica), Kenji Lefevre (Dataiku) -- Link to Video
  • [Simulating and visualising commuter flow through the London Underground] by Camilla Montonen (Rush Hour Dynamics) -- Link to Video