Conference Schedule

Don't forget to check out the social events on Wednesday and Thursday evening in downtown Durham. You won't want to miss them.

Schedule Changes

Friday (General Sessions):
"JuypterHub: A things explainer overview" by Carol Willing at 2:50pm in room 1 (instead of "Applying Python to Emerging Cybercrime Investigation Challenges").

Wednesday (Tutorial Sessions):
"Simplifying large scale parallel processing with Storm and streamparse" at 9:00am in room 3.
"Deep Language Modeling for Question Answering using Keras" moved to 1:15pm in room 1.
"Introduction to Pandas" moved to 10:45am in room 2.

Schedule Details

View past PyData event schedules here. Schedule is subject to change in case of last-minute speaker cancellation.

Tutorial Sessions — Wednesday Sept. 14, 2016

  Room 1 Room 2 Room 3
8:00 AM

Doors Open / Registration / Breakfast
8:45 AM

Welcome and Announcements
9:00 AM Datascience on the web Francois Dion, Don Jennings Connected: A Social Network Analysis Tutorial with NetworkX Rob Chew, Peter Baumgartner Simplifying large scale parallel processing with Storm and streamparse Dan Blanchard
10:30 AM

Snack Break
10:45 AM Scalable Data Science with Spark and R Zeydy Ortiz, Rob Montalvo Introduction to Pandas Daniel Chen ITK in Biomedical Research and Commercial Applications Matt McCormick
12:15 PM

Box Lunch
1:15 PM Deep Language Modeling for Question Answering using Keras Ben Bolte Turning Jupyter Notebooks into Data Applications Peter Parente, Gino Bustelo, Justin Tyberg Interactive Data Visualization Tools in R Ashton Drew
3:15 PM

Snack Break
3:30 PM Getting Started with Bokeh Sarah Bird Introduction to Julia for Pythonistas John Pearson Data Science Driven Business Insights with Python and PySpark Chunhui Higgins, Bo Zhang, Chul Sung
5:30 PM

General Sessions — Thursday Sept. 15, 2016

  Room 1 Room 2 Room 3
8:00 AM

Doors Open / Registration / Breakfast
8:45 AM

Welcome and Announcements
9:00 AM Snakes on a Cloud: "Data science, meet DevOps" Kyle Snavely
9:40 AM Keynote: Data, Decision Making, and Being Human Carol Willing
10:20 AM

Snack Break and Room Rearrangement
10:40 AM More than Words: Business Applications of Recurrent Neural Networks Michael A. Alcorn Integrating Scala/Java with your Python code Marius van Niekerk Let it shine - telling your data story Sarah Bird
11:20 AM

Shuffle Feet
11:30 AM Reach More People: SMS Data Collection with RapidPro Erin Mullaney, Rebecca Muraya Python, C, C++, and Fortran Relationship Status: It’s Not That Complicated Philip Semanchuk Open Data, Networks and the Law Iain Carmichael, Michael Kim
12:10 PM

Buffet Lunch
1:10 PM Scalable Patient Records De-duplication using machine learning Jaafar Ben-Abdallah The modern research skill set: Using Vagrant, Ansible, and Python to support researchers Bret Davidson Dynamics in Graph Analysis: Adding Time as a Structure for Visual and Statistical Insight Benjamin Bengfort
1:50 PM

Shuffle Feet
2:00 PM Transforming Data to Unlock Its Latent Value Tony Ojeda Testing is Fun in Python! Andrew Knight Making Sense Out of Flight Test Data with Python Luke Starnes
2:40 PM

Shuffle Feet
2:50 PM Introduction to Zeppelin Notebooks and PySpark 2.0 Kevin Prybol A pythonista’s pipeline for large-scale geospatial analytics Alice Broadhead Improving delivery of safe water to African communities with Jupyter notebooks Ginny Ghezzo, Vladimir Stemkovski
3:30 PM

Snack Break
3:50 PM Stemgraphic: A Stem-and-Leaf Plot for the Age of Big Data Francois Dion Scikit-build: A build system generator for CPython C extensions. Jean-Christophe Fillion-Robin, Matt McCormick, Max Smolens, Omar Padron Sharing Your Side Projects Online (and Making Your Github the Best Résumé It Can Be) Timothy Hopper
4:30 PM

Birds of a Feather (BOF) and Room Rearrangement
4:50 PM

Lightning Talks
5:30 PM

General Sessions — Friday Sept. 16, 2016

  Room 1 Room 2 Room 3
8:00 AM

Doors Open / Registration / Breakfast
8:45 AM

Welcome and Announcements
9:00 AM Keynote: Data Science Community and You Dr. Anthony Scopatz
9:40 AM Keynote: The NumFOCUS Ecosystem Leah Silen
9:50 AM Keynote: How to Engage with the South Big Data Innovation Hub Dr. Lea Shanley
10:20 AM

Snack Break and Room Rearrangement
10:40 AM Dynamic Object-Gaze Tracking with OpenCV Shariq Iqbal, Jeff MacInnes Identifying Racial Bias in Policing Practices: Open Data Policing Colin Copeland Visual diagnostics for more informed machine learning Rebecca Bilbro
11:20 AM

Shuffle Feet
11:30 AM You Belong with Me: Scraping Taylor Swift Lyrics with Python and Celery Rebecca Conley, Mark Lavin Julia for Modern Data Analysis Josh Day Principles of Reporting Systems: It's About Time we Talked About Bitemporality James Powell
12:10 PM

Buffet Lunch
1:10 PM HistomicsTK: An open-source python toolkit for web-based analysis of digital histopathology data Deepak Roy Chittajallu PyData in Production: Lesson Learned from Various PyData Deployment Strategies Josh Howes Matplotlib 2.0 or "One does not simply change all the defaults" Thomas A Caswell
1:50 PM

Shuffle Feet
2:00 PM Online customer targeting as a classification problem Ulric Wong Just Bring Glue - Leveraging Multiple Libraries To Quickly Build Powerful New Tools Rob Agle Building self-evolving video game AI in Python Marshall Wang
2:40 PM

Shuffle Feet
2:50 PM JupyterHub: A "things explainer overview" [Carol Willing] Carol Willing, Carol Willing Balancing scale and interpretability in analytical applications with sklearn and ensembling methods Lanhui Wang How to get public data from public servants Hope E. Paasch
3:30 PM

Snack Break and Room Rearrangement
3:50 PM

Closing Words
4:00 PM

Lightning Talks
5:00 PM