Conference Schedule

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 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

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

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 --