- Storytelling With Data by Cathy O'Neil (Johnson Research Labs) -- Link to Video
- Lightning Talks -- Link to Video
- Intro to scikit-learn by Michael Becker (AWeber) -- Link to Video, Link to Slides
- Python Tools for Reproducible Research in Brain Imaging by Satrajit Ghosh (McGovern Institute for Brain Research, MIT) -- Link to Video
- Realtime Predictive Analytics Using RabbitMQ & scikit-learn by Michael Becker (AWeber) -- Link to Video, Link to Slides
- Grizzly: Reverse-engineering Cancer and Brain Development with Multidimensional Dataflow Programming by Adrian Heibut (Broad Institute) -- Link to Video
- Cython: Readable like Python, fast like C by Zak Fallows (Medica) -- Link to Video
- Orange Canvas by Justin Sun (World Travel Holdings) -- Link to Video
- How does text become data? by Robert Speer (Luminoso / ConceptNet) -- Link to Video
- Parakeet by Alex Rubinsteyn (NYU) -- Link to Video
- Bestseller Analysis: Sex Scene Detection, Topics, and Pacing by Lynn Cherny (Ghostweather R & D) -- Link to Video
- DX Analytics -- A Python-based Library for Derivatives Analytics by Demian Wassermann (BWH Harvard) -- Link to Video
- Personalizing spatial search by blending machine learning and spatial statistics by Jonathan Jesneck (Essess) -- Link to Video
- Discovering Hidden Structure in Data with Latent Variable Models in Python by Eric Jonas (Salesforce) -- Link to Video
- Enaml is Not a Markup Language by Chris Colbert (JP Morgan ) -- Link to Video
- Embeddings of Python by James Powell (NYC Python) -- Link to Video
- Bayesian Method For Hackers by Cam Davidson-Pilon (Shopify) -- Link to Video
- Dataflow Programming Using Generators and Coroutines by James Powell (NYC Python) -- Link to Video
- SimpleAI (Artificial Intelligence Python lib) by Juan Pedro Fisanotti (Machinalis) -- Link to Video
- Citation Network Analysis by Thom Neale (Sunlight Foundation) -- Link to Video
- Starcluster - Cluster Computing Toolkit for the Amazon EC2 Cloud by Justin Riley (MIT Office of Digital Learning) -- Link to Video
- Negawatt mapping: city-scale energy analytics by Jonathan Jesneck (Essess) -- Link to Video
- Predictive model deployment with Yhat by Greg Lamp (Yhat) -- Link to Video
- PySpark: Fast and Expressive Big Data Analytics from Python by Matei Zaharia (MIT) -- Link to Video
- Analytical Tools for Circuit Neurobiology by Andrew Giessel (Harvard Medical School) -- Link to Video
- Data manipulation with Pandas by Chris Halpert (Meetup.com) -- Link to Video
- Bayesian data analysis using PyMC by Imri Sofer (Serre Lab, Brown University) -- Link to Video
- An Introduction to Pydoop: The Python Interface to Hadoop by Michael Sun (Jumptap) -- Link to Video
- Pythran: Static Compiler for High Performance by Bryan Lewis (Paradigm4) -- Link to Video
- Julia by Jeff Bezanson (Julia) -- Link to Video
- Importing and Analyzing SQL Data With the Django ORM by Ian Stokes-Rees (Continuum Analytics) -- Link to Video
- Predictobot: Predictive Modeling Made Easy by Craig Schmidt (Predictobot) -- Link to Video
- SciDB-Py by Brian Lewis (Paradigm4) -- Link to Video
- Scalable Analytics and Visualization: Connecting Expertise to Data With Python by Travis Oliphant (Continuum Analytics) --Link to Video
- Beginner NumPy Tutorial by Andrew Giessel (Harvard Medical School) -- Link to Video
- My First Numba by James Powell (NYC Python), Saul Diez-Guerra -- Link to Video
- Python and Windows Azure by Wen-ming Ye (Microsoft) -- Link to Video
- Financial Analysis in Python by Thomas Wiecki (Quantopian) -- Link to Video
- Tutorial on Data Analytics with IPython and Wakari by Ian Stokes-Rees (Continuum Analytics) -- Link to Video
- Introduction to Data Wrangling with pandas by Skipper Seabold -- Link to Video