Conference Schedule

View past PyData event schedules here.

Tutorial Sessions — Sunday Oct. 21, 2018

  Track 1 Track 2 Track 3
8:00 AM

Breakfast & Registration

9:00 AM Learning to scale Data Science, Machine Learning, and Pandas with Ray and Modin Devin Petersohn When Rotten Tomatoes isn’t enough: Analyzing Twitter Movie Reviews using DataStax Enterprise Amanda K Moran

Waiting for Confirmation

10:30 AM

Break

11:00 AM Network Science, Game of Thrones and US Airports Mridul Seth A Hands-On Application of Causal Methods in Python Abi Aryan Tips, tricks and topics in Text Analysis Bhargav Srinivasa Desikan
12:30 PM

Lunch

1:30 PM Docker for Data Science: Reproducibility and Deployment Hareem Naveed Applying statistical modeling and machine learning to perform time-series forecasting. Tamara Louie Testing with Pytest for Data Science Ravin Kumar
3:00 PM

Coffee Break

3:30 PM

Waiting for Confirmation

An introduction to Julia Jane Herriman Making computation easier with cool Numpy tricks Kirit Thadaka
5:00 PM

General Sessions — Monday Oct. 22, 2018

  Track 1 / ML Track 2 / Technical Track 3 / NLP
8:00 AM

Breakfast & Registration

9:00 AM

Opening Notes

9:15 AM

Keynote #1

10:00 AM

Break

10:15 AM

Waiting for Confirmation

Serverless for data scientists Mike Lee Williams

Waiting for Confirmation

11:00 AM

Break

11:15 AM 1D Convolutional Neural Networks for Time Series Modeling Nathan Janos, Jeff Roach Developing Dashboard Applications using Bokeh Luke Canavan Why you should do text analysis in python (even if you don't want to) Bhargav Srinivasa Desikan
12:00 PM

Lunch

1:00 PM (Deep) Learn You a Neural Net for Great Good! Stu (Michael Stewart) JupyterLab: the evolution of the Jupyter Notebook Ian Rose, Grant Nestor

Waiting for Confirmation

1:45 PM

Break

2:00 PM Hot Water Leak Detection Using Variational Autoencoder Model Jay Kim Iodide and Pyodide: Bringing Data Science Computation to the Web Browser Michael Droettboom Extracting Structured Data From Legal Documents Zack Witten
2:45 PM

Coffee & Sponsor Break

3:15 PM Attacking Clustered Data With a Mixed Effects Random Forests Model in Python Sourav Dey

Waiting for Confirmation

Detecting Signed and Unsigned Documents With Deep Learning - Beyond Transfer Learning Jordan Bramble
4:00 PM

Break

4:15 PM

Keynote #2

5:00 PM

Lightning Talks

5:45 PM

 

6:00 PM

Social Event

8:00 PM

General Sessions — Tuesday Oct. 23, 2018

  Track 1 / ML Track 2 / Technical Case Studies
8:00 AM

Breakfast & Registration

9:00 AM

Opening Notes

9:15 AM

Keynote #3

10:00 AM

Break

10:15 AM Measuring Model Fairness Stephen Hoover StaticFrame: An Immutable Alternative to Pandas Christopher Ariza Python at City Scale Hunter Owens
11:00 AM

Break

11:15 AM

Waiting for Confirmation

Waiting for Confirmation

Business Friendly LA: Customer Service, GIS & Open Data Juan Sebastian Vasquez
12:00 PM

Lunch

1:00 PM Big Problems at the Heart of Machine Learning Abi Aryan Deploy and use a multiframework distributed deep learning platform on Kubernetes ANIMESH SINGH, Tommy Li Using Data to Get Your Next Raise Michelle Brenner
1:45 PM

Break

2:00 PM Using Simpson’s Paradox to Discover Interesting Patterns in Behavioral Data Nazanin Alipourfard, Peter Fennell Extending Pandas with Custom Types Will Ayd Train, Evaluate, Repeat: Building a Credit Card Fraud Detection System Leela Senthil Nathan
2:45 PM

Coffee & Sponsor Break

3:15 PM

Waiting for Confirmation

Accelerating Data Science in Python with GoAI and PyGDF Bartley Richardson, PhD, Joshua Patterson Customer lifetime value: models, metrics and a multitude of uses Brian Bloniarz
4:00 PM

Break

4:15 PM

Keynote #4

5:00 PM

Lightning Talks & Closing Notes

5:45 PM

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