Tutorials — June 19, 2015

	Tutorial Room 1	Tutorial Room 2
10:00AM	Registration and Breakfast --
10:25AM	Spark.. A View from the Trenches Sahan Bulathwela, Maria Mestre	Getting Started with Cloud Foundry for Data Science Ian Huston
12:10PM	Probabilistic programming in sports analytics Peadar Coyle	Getting started with Bokeh / Let's build an interactive data visualization for the web..in Python! Sarah Bird, Bryan Van de Ven
01:45PM	Lunch - Main Atrium --
02:15PM	Analysis and transformation of geospatial data using Python Demeter Sztanko	Accelerating Scientific Code with Numba Graham Markall
03:45PM	Break and Snacks --
03:55PM	Open Source Tools for Financial Time Series Analysis and Visualization Yves Hilpisch	How “good” is your model, and how can you make it better? Chih-Chun Chen, Dimitry Foures, Elena Chatzimichali, Giuseppe Vettigli, Raoul-Gabriel Urma
05:25PM

General Sessions — June 20, 2015

	LG5	Main Hall	LG6
08:00AM		Registration and Breakfast --
09:00AM		Keynote - How to Find Stories in Data Helena Bengtsson
10:00AM	Political risk event extraction using Python and Apache Storm Aeneas Wiener	The Dark Art of Search Relevancy Eddie Bell	Veni, Vidi, Voronoi: Attacking Viruses using spherical Voronoi diagrams in Python Tyler Reddy
10:50AM	Using the SALib Library for Conducting Sensitivity Analyses of Models Will Usher	Data-visualisation with Python and Javascript: crafting a data-viz toolchain for the web Kyran Dale	Agent-Based Modelling, the London riots, and Python Thomas French, Fred Farrell
11:40AM	How We Turned Everyone at Our Company into Analysts with Python and SQL Arik Fraimovich	Python and scikit-learn based open research SDK for collaborative data management and exchange Grigori Fursin, Anton Lokhmotov	The London Air Quality API Andrew Grieve
12:20PM		Lunch - Canteen --
01:20PM		Keynote: What's it Like to be a Bot? Eric Drass
02:20PM	Getting Meaning from Scientific Articles Éléonore Mayola	If It Weighs the Same as a Duck: Detecting Fraud with Python and Machine Learning Ryan Wang	PyPy, The Python Scientific Community and C extensions Romain Guillebert
03:00PM		Break and Snacks --
03:20PM	Open Space Available for Data Science Q&A --	Rescuing and Exploring Complex Life Science Data Paul Agapow	Financial Risk Management: Analytics and Aggregation with the PyData stack Miguel Vaz
04:10PM	Smart Cars of Tomorrow: Real-Time Driving Patterns Ronert Obst	Making Computations Execute Very Quickly Russel Winder	A Tube Story: How can Python help us understand London's most important transportation network? Camilla Montonen
05:00PM	Simulating Quantum Physics in Less Than 20 Lines of Pure Python Katie Barr	How DataKind UK helped Citizens Advice get more from their data Emma Prest, Billy Wong	Hyperparameter Optimisation for Machine Learning in Python: Building an automatic scientist Thomas Greg Corcoran
05:30PM

General Sessions — June 21, 2015

	LG5	Main Hall	LG6
08:00AM		Registration and Breakfast --
09:00AM		Keynote: CRISP-DM: The Dominant Process for Data Mining Meta S. Brown
10:00AM	A practical guide to conquering social network data Benjamin Chamberlain, davide donato, Josh Levy-Kramer	Information Surprise or How to Find Data Oleksandr Pryymak	Localising Organs of the Fetus in MRI Data Using Python Kevin Keraudren
10:50AM	Our Data, Ourselves Giles Greenway	Python for Image and Text Understanding: One Model to rule them all! Roelof Pieters	Collect and Visualise Metrics With InfluxDB and Grafana Marek Mroz
11:40AM	Jointly Embedding knowledge from large graph databases with textual data using deep learning Armando Vieira	Ship It! Ian Ozsvald	Constructing protein structural features for Machine Learning. Ricardo Corral Corral
12:20PM		Lunch --
01:20PM	A Fast, Offline Reverse Geocoder in Python Ajay Thampi	Performance Pandas Jeff Reback	Hacking Human Language Hendrik Heuer
02:10PM	Hierarchical Data Clustering in Python Frank Kelly	Sudo Make me a (London) Map Linda Uruchurtu	Jupyter (IPython): how a notebook is changing science Juan Luis Cano
02:50PM		Break and Snacks --
03:05PM	A Beginner's Guide to Building Data Pipelines with Luigi Dylan Barth, Stuart Coleman	Machine Learning with Imbalanced Data Sets Natalie Hockham	Integration with the Vernacular James Powell
03:55PM	Defining Degrees of Separation in Data Classifications Using Predictive Modelling Yiannis Pavlosoglou, Adam Reviczky, Neri Van Otten	NLP on a Billion Documents: Scalable machine learning with spark martin goodson	Deploying a Model to Production Alex Chamberlain
04:35PM		Lightning Talks --
05:35PM