Schedule

Friday

8:30

Breakfast and Registration

9:30

Blaze
Matthew Rocklin
(Keynote, 9:30)

10:20

Bokeh: Interactive Data Visualizations with Python
Christine Doig
(Tutorial, 10:20)

Blosc
Valentin Haenel
(10:20)

Running, walking, sitting or biking? - Motion prediction with acceleration and rotationrates
Paul Balzer
(11:00)

Scientific computing with Python: Tools for the solution of continuous problems
Claas Abert
(11:40)

12:30

Lunch

13:30

Measure, don't Guess - How to find out if and where to optimize
Mike Müller
(Tutorial, 13:30)

Real-Time Monitoring of Distributed Systems
Tobias Kuhn, Nakul Selvaraj
(13:30)

Analysing and predicting inner-city parking space occupancy
Paul Balzer
(14:10)

14:50

Break and Snacks

15:10

Measure, don't Guess - How to find out if and where to optimize II

A Data Science Operationalization Framework
Alexander Kagoshima
(15:10)

Smart cars of tomorrow: real-time driving patterns
Ronert Obst
(15:50)

16:30

Lightning Talks

17:30

Get Together

Saturday

8:30

Breakfast

9:30

Rewiring the Internet for Ownership with Big Data and Blockchains
Trent McConaghy
(Keynote, 9:30)

10:20

Learning to use Docker for development
Sylvain Bellemare
(Tutorial, 10:20)

Lessons learned from applying PyData to our marketing organization
Jose Luis Lopez Pino
(10:20)

What people need to be happy at work & how you can influence a diverse team environment
Lea Böhm
(11:00)

11:50

Panel Discussion

12:30

Lunch

13:30

From the Life of a Data Scientist
Felix Wick
(Keynote, 13:30)

14:20

Advanced Data Storage
Thomas Pfaff
(Tutorial, 14:20)

Probabilistic Programming in Sports Analytics
Peadar Coyle
(14:20)

Indroduction to the PySpark DataFrame API
Peter Hoffmann
(15:00)

15:50

Break and Snacks

16:10

Peachbox: Agile and Accessible Big ETL Framework
Philipp Pahl
(Tutorial, 16:10)

CostCla a cost-sensitive classification library
Alejandro Correa Bahnsen
(16:10)

Processing Hotel Reviews with Python
Miguel Fernando Cabrera
(16:50)

17:40

Python as a Framework for Analytics and Growth Hacking
Ignacio Elola
(17:40)

Lifecycle of Web Text Mining: Scrape to Sense
Brian Carter
(17:40)

18:20

Get Together

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