Conference Schedule

	Seminar Room 1	Seminar Room 3
08:00AM	@Lobby: Registration
09:00AM	@Seminar Room 1: Keynote - Audrey & Daniel Roy Greenfeld - How to Write a Popular Python Library by Accident
10:00AM	Breakfast
10:45AM	Warpdrive, making Python web application deployment magically easy. Graham Dumpleton	Using Python to Build a GIS Data Pipeline for Rural-Urban Classification Tung Whye Loon
11:30AM	Design and implement a scalable and high performance tcp server with tornado Nhu Dinh Tuan	Deep Learning With Python & Tensorflow Ian Lewis
12:00PM	Lunch
01:00PM	Using Artificial Life Simulation to Gain Insights into Contradictory Field Evidence Maurice Ling	Python Pants - A build system for large codebases with multiple dependencies Angad Singh
01:45PM	Visualising Machine Learning Models Amit Kapoor	OSS @ Airbnb: Python Data Tools Fiona Tay
02:30PM	Sentiment Analysis, its techniques and applications Mimansa Jaiswal	Building a simple-to-use Database Management tool Chinab Chugh
03:15PM	Tea-break
03:45PM	Deep Learning Hands-on Workshop Martin Andrews	Python Robotics for Education Max Ong Zong Bao
05:15PM	Group Photo :)
05:30PM

	Seminar Room 1	Seminar Room 3
08:00AM	Registration
09:00AM	Keynote: Dr. Yves J. Hilpisch - How Open Source, Open Data and the Cloud are Reshaping Finance Education and the Financial Industry
10:00AM	Group Photo & Breakfast
10:45AM	Customer Segmentation in Python Mao Ting	Python in the MicroServices world Hari Krishnan
11:30AM	music2vec: A smart music recommendation and discovery Laam Pham	Deploying scalable Django application on AWS Lalit Nama
12:15PM	Lunch
01:15PM	Lightning-Talks
02:15PM	Creating map visualizations with open data and Folium Grace Tang	A tale of Ansible fanboy Pawan Darda
03:00PM	Tea-break
03:45PM	Machine Learning Pipeline using Luigi and Scikit Learn Atreya Biswas
05:15PM

	Tut Room 10	Seminar Room 3	Seminar Room 1
08:00AM	Registration
09:00AM	Introductory Python 3 for Students By Students For Students	Using Jupyter Notebooks for Quantitative Finance Delaney Granizo-Mackenzie	Introduction to Machine Learning Bargava Subramanian, Amit Kapoor
01:00PM	Lunch
02:00PM	Best Practices for Django the Two Scoops Way Daniel Roy Greenfeld, Audrey Roy Greenfeld	Open Source Tools for Financial Data Science Dr. Yves Hilpisch	Introduction to Data Analysis using Python Data Stack Bargava Subramanian, Amit Kapoor
06:00PM