A Beginner's Guide to Building Data Pipelines with Luigi |
Dylan Barth, Stuart Coleman |
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A Fast, Offline Reverse Geocoder in Python |
Ajay Thampi |
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A practical guide to conquering social network data |
Benjamin Chamberlain, Davide Donato, Josh Levy-Kramer |
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A Tube Story: How can Python help us understand London's most important transportation network? |
Camilla Montonen |
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Agent-Based Modelling, the London riots, and Python |
Thomas French, Fred Farrell |
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Collect and Visualise Metrics With InfluxDB and Grafana |
Marek Mroz |
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Constructing protein structural features for Machine Learning |
Ricardo Corral Corral |
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Data-visualisation with Python and Javascript: crafting a data-viz toolchain for the web |
Kyran Dale |
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Defining Degrees of Separation in Data Classifications Using Predictive Modelling |
Yiannis Pavlosoglou, Adam Reviczky, Neri Van Otten |
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Deploying a Model to Production |
Alex Chamberlain |
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Financial Risk Management: Analytics and Aggregation with the PyData stack |
Miguel Vaz |
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Getting Meaning from Scientific Articles |
Éléonore Mayola |
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Hacking Human Language |
Hendrik Heuer |
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Hierarchical Data Clustering in Python |
Frank Kelly |
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How DataKind UK helped Citizens Advice get more from their data |
Emma Prest, Billy Wong |
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How We Turned Everyone at Our Company into Analysts with Python and SQL |
Arik Fraimovich |
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Hyperparameter Optimisation for Machine Learning in Python: Building an automatic scientist |
Thomas Greg Corcoran |
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If It Weighs the Same as a Duck: Detecting Fraud with Python and Machine Learning |
Ryan Wang |
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Information Surprise or How to Find Data |
Oleksandr Pryymak |
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Integration with the Vernacular |
James Powell |
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Jointly Embedding knowledge from large graph databases with textual data using deep learning |
Armando Vieira |
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Jupyter (IPython): how a notebook is changing science |
Juan Luis Cano |
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Keynote - How to Find Stories in Data |
Helena Bengtsson |
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Keynote - What's it Like to be a Bot? |
Eric Drass |
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Keynote: CRISP-DM: The Dominant Process for Data Mining |
Meta S. Brown |
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Localising Organs of the Fetus in MRI Data Using Python |
Kevin Keraudren |
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Machine Learning with Imbalanced Data Sets |
Natalie Hockham |
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Making Computations Execute Very Quickly |
Russel Winder |
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NLP on a Billion Documents: Scalable machine learning with Spark |
Martin Goodson |
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Our Data, Ourselves |
Giles Greenway |
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Performance Pandas |
Jeff Reback |
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Political risk event extraction using Python and Apache Storm |
Aeneas Wiener |
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PyPy, The Python Scientific Community and C extensions |
Romain Guillebert |
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Python and scikit-learn based open research SDK for collaborative data management and exchange |
Grigori Fursin, Anton Lokhmotov |
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Python for Image and Text Understanding: One Model to rule them all! |
Roelof Pieters |
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Rescuing and Exploring Complex Life Science Data |
Paul Agapow |
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Ship It! |
Ian Ozsvald |
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Simulating Quantum Physics in Less Than 20 Lines of Pure Python |
Katie Barr |
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Smart Cars of Tomorrow: Real-Time Driving Patterns |
Ronert Obst |
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Sudo Make me a (London) Map |
Linda Uruchurtu |
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The Dark Art of Search Relevancy |
Eddie Bell |
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The London Air Quality API |
Andrew Grieve |
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Using the SALib Library for Conducting Sensitivity Analyses of Models |
Will Usher |
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Veni, Vidi, Voronoi: Attacking Viruses using spherical Voronoi diagrams in Python |
Tyler Reddy |
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