- Python in the Hadoop/Spark Ecosystem by Andy Terrel (Continuum Analytics, NumFOCUS) -- Link to Video
- (Easy), High Performance Text Processing with Rosetta by Daniel Krasner (KFit Solutions/Columbia University) -- Link to Video
- From DataFrame to Web Application in 10 minutes by Adam Hajari (Next Big Sound) -- Link to Video
- PyCassa: Setting up and using Apache Cassandra with Python (in Windows) by Tobi Bosede (NYC Pyladies) -- Link to Video
- Advanced IPython Notebook Widgets by Jason Grout (IPython, Bloomberg) -- Link to Video
- Data warehouse and conceptual modelling with Cubes 1.0 by Stefan Urbanek (Squarespace) -- Link to Video
- Using Python to design a parametric catastrophic (CAT) earthquake bond and predict its credit spread by Luis Miguel Sanchez (ttwick) -- Link to Video
- How to Make Your Future Data Scientists Love You by Sasha Laundy (Polynumeral) -- Link to Video
- Monary: Really fast analysis with MongoDB and NumPy by Anna Herlihy (MongoDB) -- Link to Video
- KitchenSink - framework for working with remote datasets interactively by Hugo Shi (PyData Conference) -- Link to Video
- Python for Quant Finance by Yves Hilpisch (The Python Quants GmbH) -- Link to Video
- Recalling with precision by Julia Evans (Stripe) -- Link to Video
- Python for Personal and Population Genome Interpretation by Manuel Rivas (University of Oxford) -- Link to Video
- Data Science: It's Easy as Pyǃ by Michael Becker (DataPhilly) -- Link to Video
- Analyzing Satellite Images With Python Scientific Stack by Milos Miljkovic (Hyperion Analytics) -- Link to Video
- Evaluating skills in educational and other settings: An overview by Kevin Wilson (Knewton) -- Link to Video
- Using Data Science to Transform OpenTable Into Your Local Dining Expert by Sudeep Das (OpenTable Inc.) -- Link to Video
- Omnia.md: Engineering a Full Python Stack for Biophysical Computation by Kyle Beauchamp (Memorial Sloan Kettering Cancer Center) , Patrick Grinaway (Memorial Sloan Kettering Cancer Center) -- Link to Video
- Disco: Distributed Multi-Stage Data Pipelines by Tim Spurway (Mozilla) -- Link to Video
- TaxiVis by Huy Vo (NYU-Poly, CUSP) -- Link to Video
- Simple Machine Learning with SKLL 1.0 by Daniel Blanchard (Educational Testing Service) -- Link to Video
- Time series analysis using Gaussian Processes in Python and the search for Earth 2.0 by Dan Foreman-Mackey (NYU Dept. of Physics) -- Link to Video
- Putting Together World's Best Data Processing Research with Python by Akira Shibata (Shiroyagi Corporation, PyData Tokyo) -- Link to Video
- Beautiful Interactive Visualizations in the Browser with Bokeh by Bryan Van De Ven (Continuum Analytics) -- Link to Video
- Data-driven conversations about biology by Olga Botvinnik (University of California, San Diego) -- Link to Video
- Using Cloud Foundry for Data Driven Python apps by Ian Huston (Pivotal) -- Link to Video
- Decreasing Uncertainty with Weakly Informative Priors and Penalized Regression by Jared Lander (Lander Analytics) -- Link to Video
- High Performance Hardware for Data Analysis by Mike Pittaro (Dell) -- Link to Video
- Python for Fun, Profit and Retirement Planning by Ritesh Bansal (Rational Insights) -- Link to Video
- New Features in pandas by Jeff Reback (pandas, Continuum Analytics) -- Link to Video
- Grids, Streets & Pipelines: Making a linguistic streetmap with scikit-learn by Michelle Fullwood -- Link to Video
- Python as a Query Language for Distributed Key-Value Stores by Stephen Pimentel (FoundationDB) -- Link to Video
- Get To Know Your Data by Hannah Aizenman (CUNY Graduate Center) -- Link to Video
- Performance Python by Saul Diez-Guerra (Thinkful) -- Link to Video
- The Polyglot Beaker Notebook by Matt Greenwood (Two Sigma Investments) , Scott Draves (TwoSigma, Beaker Notebook) -- Link to Video
- Title Coming Soon by James Powell (NYC Python) -- Link to Video
- Julia + Python = <3 by Stefan Karpinski (Julia) -- Link to Video
- Making BIG DATA smaller by Tony Tran (SF Bay Area Machine Learning) -- Link to Video
- Translating SQL to pandas. And back by Greg Reda (Datascope Analytics) -- Link to Video
- A Machine Learning Pipeline with Scikit-Learn by Bugra Akyildiz (CB Insights) -- Link to Video
- Advanced scikit-learn by Andreas Mueller (NYU CDS, scikit-learn) -- Link to Video
- Blaze Foundations: Part 1 by Matthew Rocklin (Continuum Analytics) -- Link to Video
- Driving Blaze in the Real World of Data Land Mines by Phillip Cloud (pandas, Continuum Analytics) -- Link to Video
- Logistic Regression & NFL by Alain Ledon (Baruch College) , Amit Bhattacharyya (Sr Data Scientist, Teachers Pay Teachers) -- Link to Video