Schedule

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