Wednesday 25.10.2017

#	Media Theatre	Lecture Hall	1st Floor	Museum (Tutorials)
09:00	Registration
09:30	Coffee
10:15	Opening
10:30	Keynote Prof. Dr. Susanne Mertens Neutrinos: who are you and if yes how many?
11:30	Deep Learning for Computer Vision Alex Conway PyData, Data Science, Business	Lift your Speed Limits with Cython Stefan Behnel Programming	The Python Ecosystem for Data Science: A Guided Tour Christian Staudt PyData, Data Science	Machine Learning as a Service Anand Chitipothu PyData, Data Science
12:20	Modern ETL-ing with Python and Airflow (and Spark) Tamara Mendt PyData, Data Science	And now to something ELSE: Real Time Data Processing @ billiger.de Axel Arnold Programming, Business	Rasa: open source conversational AI to build next generation chatbots Joey Faulkner PyData, Data Science, Programming, Business
12:50	Lunch Break
14:00	Python in Space - The N Body Problem Daniel Jilg PyData, Data Science, Programming	Hacking the Python AST Suhas SG Programming	Synthetic Data for Machine Learning Applications Dr. Hendrik Niemeyer PyData, Data Science, Programming	Machine Learning as a Service Anand Chitipothu PyData, Data Science
14:50	Connecting PyData to other Big Data Landscapes using Arrow and Parquet Uwe L. Korn PyData, Data Science	Plugin ecosystems for Python web-applications Raphael Michel Web, Programming	Sport analysis with Python Thuy Le PyData, Data Science, Programming
15:20	Coffee
16:00	Data Science Project for Beginners Natalie Speiser, Jens Beyer PyData, Data Science, Programming, Business	Vim your Python, Python your Vim Miroslav Šedivý Programming	The Mustache Movement Heidi Thorpe PyData, Data Science, Programming	Network Analysis using Python Mridul Seth PyData, Data Science, Programming
16:35	Master 2.5 GB of unstructured specification documents with ease Dr. Andreas Schilling PyData, Data Science, Programming, Business	The BorgBackup Project Thomas Waldmann DevOps, Programming	Theoretical physics with sympy Florian Thöle PyData, Data Science
17:15	Lightning Talks
18:00	End

#	Inovex
19:00	Inovex Data Science Meetup

Thursday 26.10.2017

#	Media Theatre	Lecture Hall	1st Floor	Museum
08:45	Morning Announcements
09:00	Keynote Matthew Rocklin Dask: Next Steps in Parallel Python
10:00	Coffee
10:30	Platform intrusion detection with deep learning Carsten Pohl PyData, Web, Data Science, Programming	Programming the Web of Things with Python and MicroPython Hardy Erlinger Programming	The eye of the Python, an eye tracking system. From zero to... what eye learned. Samuel Muñoz Hidalgo | BEEVA PyData, Data Science, Programming	Practical Data Cleaning 101 Katharine Jarmul PyData, Data Science
11:20	Why Python Has Taken Over Finance Yves Hilpisch PyData, Data Science, Programming, Business	Empowered by Python - A success story Jens Nie, Peer Wagner Programming, Business	Large-scale machine learning pipelines using Luigi, PySpark and scikit-learn Alexander Bauer PyData, Data Science, Programming
11:55	Simple Data Engineering in python 3.5+ with Bonobo Romain Dorgueil PyData, Data Science	Keeping the grip on decoupled code using CLIs Anne Matthies Programming	Time series feature extraction with tsfresh - “get rich or die overfitting” Nils Braun PyData, Data Science, Programming
12:25	Lunch Break
14:00	High-Performance Ingestion with Python and Swarm64DB Sebastian Dreßler PyData, Data Science, Business	Building your own SDN with Debian Linux, Salt Stack and Python Maximilian Wilhelm DevOps	An introduction to PyMC3 Adrian Seyboldt PyData, Data Science, Programming	How to Fund Your Company Ingo Stegmaier Business
14:50	Turbodbc: Turbocharged database access for data scientists Michael König PyData, Data Science, Programming	No Compromise: Use Ansible properly or stick to your scripts Bjoern Meier DevOps, Business	Technical Lessons Learned from Pythonic Refactoring Yenny Cheung DevOps, Web, Programming
15:30	Coffee
15:45				Playing with Google ML APIs and websockets Meili Triantafyllidi PyData, Data Science, Web
16:00	Effective Data Analysis with Pandas Indexes Alexander Hendorf PyData, Data Science, Business Analytics	Data Plumbing 101 - ETL Pipelines for Everyday Projects Eberhard Hansis PyData, Data Science, Business	From Java to Python: Migrating Search Functionality at billiger.de Patrick Schemitz Programming
16:35	How efficient is your public transport network? A data-driven approach using Geopandas and GTFS Pieter Mulder PyData, Web, Programming, Data Science	Verified fakes with OpenAPI Lauris Jullien Web	Migrating existing codebases to using type annotations Stephan Jaensch Programming
17:15	Lightning Talks
18:00	End			All Watched over by Machines of Loving Grace

#	Media Lounge
16:00	Python Software Verband e.V. Member Assembly

#	Badisch Brauhaus
19:00	Social Event

Friday 27.10.2017

#	Media Theatre	Lecture Hall	1st Floor	Museum
08:45	Morning Announcements
09:00	Keynote Prof. Dr. Michael Feindt Artificial Intelligence: Differentiating Hype and Real Value
10:00	Coffee
10:30	Really Deep Neural Networks with PyTorch David Dao PyData, Data Science, Programming	Project Avatar - Telepresence robotics with Nao and Kinect Thomas Reifenberger, Martin Foertsch Programming	Python on bare metal – Beginners tutorial with MicroPython on the pyboard Christine Spindler Programming	Metaclasses - When to Use and When Not to Use Mike Müller
11:20	Data Science Best Practices : From Proof of Concepts to Production Yasir Khan PyData, Programming, Data Science, Business	Python with Apache OpenWhisk Ansgar Schmidt Business, Web, Programming	Observing your applications with Sentry and Prometheus Patrick Mühlbauer Web, DevOps
11:55	Getting Scikit-Learn To Run On Top Of Pandas Ami Tavory PyData, Data Science, Programming	From 0 to Continuous Delivery in 30 minutes. David Wölfle DevOps, Programming	An Admin's Cornucopia - Python Is More Than Just A Better Bash Christian Theune Programming
12:25	Lunch Break
14:00	The Snake in the Tar Pit: Complex Systems with Python Stephan Erb DevOps, Programming	Python is Weird Dave Halter Programming	Flow is in the Air: Best Practices of Building Analytical Data Pipelines with Apache Airflow Dominik Benz PyData, Data Science
14:50	Graphql in the Python World Nafiul Islam Web, Programming	Automated testing with 400TB memory Christoph Heer Business, Programming	Integrating Jupyter Notebooks into your Infrastructure Florian Rhiem PyData, Data Science
15:20	Coffee
16:00	Lightning Talks
16:30	Closing Session
17:00	End

Saturday 28.10.2017

#	Duale Hochschule BW, Karlsruhe
10:00	Sprint & Hackathon
12:30	Lunch Break
13:30	Sprint & Hackathon
18:00	End

Sunday 29.10.2017

#	Duale Hochschule BW, Karlsruhe
10:00	Sprint & Hackathon
12:30	Lunch Break
13:30	Sprint & Hackathon
17:00	End