Francesc Alted: PyTables: An on-disk binary data container, query engine and computational kernel. Stefan van der Walt: An introduction to numpy: the notebook version. Jake Vanderplas: Matplotlib tutorial. Jake Vanderplas: Tutorial: Machine learning for astrophysics with scikit-learn. Thomas Wiecki: Simulated Algorithmic Trading with Zipline: Backtesting, Statistics, and Optimization. Thomas Wiecki: Simulated Algorithmic Trading with Zipline: Backtesting, Statistics, and Optimization (notebook). David Cournapeau: Database and python: Database for the scientist. Stefan Urbánek: Bussiness intelligence in python. Skipper Seabold: Statsmodels & Patsy. Andrew Montalenti: Web crawling & metadata with python. Andrew Montalenti: Just enough NLP with python. Stephen Diehl: Blaze: Next generation Numpy. Andy Terrel: MPI (notebooks). Chang She: Timeseries with pandas (notebooks). Travis Oliphant: PyData introduction. Travis Oliphant: Numba: NumPy-aware dynamic Python compiler (Lightning Talk). Didier Deshommes: Wikipedia indexing and analysis. Gilad Lotan: Networkx and Gephi tutorial. [actualización] Los vídeos están disponibles en vimeo. He añadido nuevas presentaciones. Si véis más material, por favor, avisadnos en los comentarios o twitter para seguir actualizando esto.