Thank you to all our discussion track speakers who provided links to their slides and repos!

TUESDAY

​Ryan O’Neil Optimize your Docker Infrastructure with Python

Bob McNaughton Python with a SWIG of C++

Sanghamitra Deb Understanding Product Attributes from Reviews
GitHub | SlideShare

Amit Bhattacharyya Using Graphs for High Quality Recommendations

Fahad Alhasoun Using Massive Passive Phone Calling Data to Understand and Predict Human Mobility

Denise Gosnell and Brian Corbin TinkerPop and Titan from a Python state of mind
Slides | GitHub | Blog post

Brenton Mallen Global Botnet Detector

Tony Fast

Manojit Nandi Parallel Programming in Python: Speeding up your analysis
Slides | Jupyter Notebook

Michal Monselise How do we know if it was hot today? Quantifying qualitative measures of weather

WEDNESDAY

Homin Lee One of These Things is Not Like the Others: Automatically Detecting Outliers

Nitin Madnani A Pipeline for Modeling Automated Scoring Using Python, R and Jupyter Notebooks

Katya Vasilaky An Iterative Approach to Inverse Problems using Python’s NumPy (0.2)
Slides | GitHub

Yam Peleg Beating the world’s traffic with machine learning!

​Jonathan Rivers A next generation live tick database, accessible through Python, backed by SciDB

Tara Adiseshan Getting Started in Computational Sociology with Python

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

​Solmaz Shahalizadeh Building a financial data warehouse in a fast moving company: A lesson in user empathy
Slides | PDF

Peter Bull Using your powers for good: Data science in the social sector

en zyme Fraud, Fun, and Fortune in Event Log Analytics

Are NumFOCUS projects critical tools for your business or research?
Don’t miss the NumFOCUS Project Forum, Sept 24-25 in NYC.