Alex Rubinsteyn: Python Libraries for Deep Learning with Sequences

Andre Panisson: Exploring temporal graph data with Python

Andreas Mueller, Brian Granger, Jeff Reback, Michael Droettboom (Keynote): New Project Features

Andreas Mueller: Machine Learning with scikit learn

Andrew Campbell: Bootstrapping Applications and Dashboards with IPython Widgets

Andrew Montalenti: Beating Python's GIL to Max Out Your CPUs

Andrew Osheroff, Jeremy Freeman, Kyle Kelley: Binder: sharing and reproducing computation

Anna Nicanorova: Optimizing Life Everyday Problems Solved with Linear Programing in Python

Ben Fields: Great Taste, Less Wordy: Document Summarization of Beer Reviews

Brett Cannon: A survey of Python interpreters

Brian Coffey: D3 in Jupyter

Brian Granger: All About Jupyter

Brian Kent: Density Based Clustering in Python

Bruno Goncalves, Anastasios Noulas: Mining Georeferenced Data

Cornelia Levy-Bencheton (Keynote): The Pain of Discipline and the Power of Not Yet

Dan Blanchard: Simplifying large scale parallel processing with Storm and streamparse

Daniel Rodriguez: Querying 1 6 billion reddit comments with python

Dr Jessica Stauth: Portfolio and Risk Analytics in Python with pyfolio

Eben Olson: Neural networks with Theano and Lasagne

Eric J Ma: Network Analysis Fundamentals

Francois Scharffe: Word embeddings as a service

James Powell: Does Code Quality Really Matter

Jeff Reback: Performance Pandas (PyData NYC 2015)

Jessica Forde: Visualizing Wireless Router Timeseries Data with the Density API, Seaborn, and Pandas

Jim Crist: Dask Parallelizing NumPy and Pandas through Task Scheduling

Karim Chine: Towards a universal platform for data science on public and private clouds

Karthik Ananth: Scrapy Workshop

Katrina Riehl (Keynote): Memex: Mining the Dark Web

Lightning Talks

Marcos Vanetta: Reproducibility of your development environment

Maria Nattestad: How Big Data is transforming biology and how we are using Python to make sense

Matthew Conlen: Lightning Web First Data Visualization in Python

Michael Droettboom: matplotlib

Mike Mull: The Art and Science of Data Matching

Milos Miljkovic: Song Matching by Analyzing and Hashing Audio Fingerprints

Nick Evans: Realtime Risk Management Using Kafka, Python, and Spark Streaming

Pawel Potacki: Building interactive visualization with VTK, Matplotlib and Enaml

Perry Greenfield (Keynote): How Python Found its way Into Astronomy

Phillip Cloud: Blaze- An Interface to all the Things

Rajat Arya, Brian Kent: Getting Started with Machine Learning Applications

Riley H: Social Science Conscious Analysis Case Study: The Cost of Public School In NYC

Ryan J. O'Neil: Optimize your Docker Infrastructure with Python

Scott Sanderson: Developing an Expression Language for Quantitative Financial Modeling

Shawn Scully: Production and Beyond: Deploying and Managing Machine Learning Models

Steve Dower: Using Python in Visual Studio

Steve Taylor: Correlation Matrix Filtering and Asset Allocation with Python

Stuart Williams: Python Epiphanies

The Future of Machine Learning Panel Discussion

Timothy Hopper: Understanding Probabilistic Topic Models By Simulation

TJ Torres: Deep Style

Travis Oliphant & Peter Wang (Keynote): Python as the Zen of Data Science

Trent Oliphant: Using Django as a data tool in the Enterprise