Wednesday 24.10.2018

#	Media Theatre	Lecture Hall	Kubus	Media Lounge	Open Hub
09:00	Registration
09:30	Coffee
10:15	Opening
10:30	Keynote: Peter Weibel
11:30	Modern asynchronous programming Andrew Svetlov Parallel Programming, Web	Introduction and practical experience about Quantum Computing using the Python libraries from IBM and Google Dr. Andreas Riegg Jupyter, Programming, Python, Science	Your first NLP project: peaks and pitfalls of unstructured data Anna Widiger NLP	reticulate: R interface to Python Jens Bruno Wittek Artificial Intelligence, Algorithms, Big Data, Deep Learning & Artificial Intelligence, Data Science, NLP, Machine Learning, Visualisation	Pandas IO Tools: Reading and Writing DataFrames as Files and Databases Miroslav Šedivý Data Science, Jupyter, Science
12:15	Developing ecommerce platform with Django Oscar Alexander Gaevsky Business & Start-Ups, Code-Review, Django	Karabo - A control framework fueled by Python asyncio Dennis Göries Business & Start-Ups, Infrastructure, Science	Germany's next topic model Thomas Mayer Artificial Intelligence, Deep Learning & Artificial Intelligence, Data Science, Networks, NLP, Machine Learning, Visualisation	IoT using Python on Linux: Lessons Learned Thomas Keppler, Matthias Schmidt DevOps, Infrastructure, Networks, Programming, Python
12:50	Lunch Break
14:00	Performance evaluation of GANs in a semi-supervised OCR use case Florian Wilhelm Artificial Intelligence, Computer Vision, Deep Learning & Artificial Intelligence, Data Science, Machine Learning	Cython to speed up your Python code Stefan Behnel Big Data, Infrastructure, Jupyter, Parallel Programming	From Wittgenstein to TensorFlow: The role of Domain Specific Languages and Language Design in Machine Learning Mattia Ferrini	Scalable Scientific Computing using Dask Uwe L. Korn Algorithms, Big Data, Data Science, Parallel Programming, Python	Finance, Sales and Business Development for Start-Ups Ingo Stegmaier Business & Start-Ups, Infrastructure
14:50	Active Learning - Building Semi-supervised Classifiers when Labeled Data is not Available Dr. Hendrik Niemeyer Artificial Intelligence, Algorithms, Data Science, Machine Learning, Python	Selinon - dynamic distributed task flows Fridolín Pokorný Big Data, Infrastructure, Parallel Programming, Programming, Python	Experiences from applying Convolutional Neural Networks for classifying 2D sensor data Matthias Peussner Artificial Intelligence, Computer Vision, Deep Learning & Artificial Intelligence, Machine Learning
15:35	Coffee Break
16:00	A Day Has Only 24±1 Hours: import pytz Miroslav Šedivý Data Science, Science	Achieving Resilient Code with Integration Tests Alexandre Figura Programming, Python	Case Study in Travel Business - Understanding agent connections using NetworkX Cheuk Ting Ho Algorithms, Networks, Python	Script, Library, or Executable: You can have it all! Luke Lee Programming, Python	Build a modern data infrastructure Christian Barra Big Data, Data Science, DevOps, Infrastructure, Jupyter, Web
16:35	Python Dependency Management Patrick Muehlbauer Infrastructure	Testing in Python - The Big Picture Niklas Meinzer Programming, Python	Binder - lowering the bar to sharing interactive software Tim Head Community, Data Science, DevOps, Jupyter, Science, Web	Productionizing your ML code seamlessly Lauris Jullien Artificial Intelligence, Data Science, Machine Learning
17:10	Distributed Hyperparameter search with sklearn and kubernetes Jakob Karalus Algorithms, Big Data, Data Science, DevOps, Infrastructure, Machine Learning	About going Open-Source Tim Business & Start-Ups	Pyccel, a Fortran static compiler for scientific High-Performance Computing Dr. Ing. Ratnani Ahmed Artificial Intelligence, Algorithms, Astronomy, Parallel Programming, Programming, Python, Science	How type annotations make your code better Igor Davydenko Infrastructure, Web
17:30	Lightning Talks
18:15	End

#	PTV
19:00	PyCon.DE Meetup at PTV

Thursday 25.10.2018

#	Media Theatre	Lecture Hall	Kubus	Media Lounge	Open Hub
09:00	Morning Announcements
09:15	Keynote: Wes McKinney
10:00	Coffee
10:30	Deep Learning with PyTorch for more Fun and Profit (Part II) Alexander CS Hendorf	Bonobo, Airflow and Grafana to visualize your business Romain Dorgueil Business & Start-Ups, Data Science, Visualisation, Web	Big Data Systems Performance: The Little Shop of Horrors Jens Dittrich Algorithms, Big Data, Data Science, Infrastructure, Parallel Programming, Programming, Python, Science	Machine Learning as a Service: How to deploy ML Models as APIs without going nuts Anand Chitipothu Machine Learning, Python, Web	Understanding Neural Networks by Playing Games Sidharth Ramachandran Artificial Intelligence, Deep Learning & Artificial Intelligence
11:20	Reproducibility, and Selection Bias in Machine Learning Valerio Maggio Algorithms, Machine Learning, Science	Python with and without Pants Stephan Erb DevOps, Infrastructure	ZODB: The Graph Database for PythonDevelopers Christopher Lozinski Web	Satellite Image Segmentation Photovoltaic Potential Estimation Johannes Oos Artificial Intelligence, Computer Vision, Deep Learning & Artificial Intelligence, Machine Learning, Science
11:55	Data science complexity and solutions in real industrial projects Artur Miller Algorithms, Big Data, Data Science, Infrastructure, Machine Learning	What's new in Python 3.7? Stephane Wirtel Community, Django, DevOps	Interactive Visualization of Traffic Data using Bokeh Dr. Patrik Hlobil Data Science, Visualisation, Web	Measuring the hay in the haystack: quantifying hidden variables using Bayesian Inference Omer Yuksel Data Science, Networks
12:25	Lunch Break		Foyer Poster Session
14:00	PyTorch as a scientific computing library: past, present and future Adam Paszke	Python on the blockchain: Triumphs and tribulations in a crypto startup Daniel and Lorb Business & Start-Ups, Community, Django, Infrastructure, Python	Advanced Analytics Today: From Open Source Integration to the Operationalization of the Analytic Lifecycle Martin Schütz	Beyond Jupyter Notebooks - Building your own Data Science platform with Python & Docker Joshua Görner Artificial Intelligence, Algorithms, Data Science, DevOps, Infrastructure, Jupyter, Machine Learning, Programming, Python	Designing RESTful APIs Anand Chitipothu Python, Web
14:50	Fulfilling Apache Arrow's Promises: Pandas on JVM memory without a copy Uwe L. Korn Algorithms, Big Data, Data Science, Parallel Programming	Data Science meets Data Protection: Keeping your data secure while learning from it. Andreas Dewes, Katharine Jarmul Artificial Intelligence, Business & Start-Ups, Big Data, Data Science	Processing Geodata using Python Martin Christen Big Data, Data Science, Jupyter, Python, Visualisation	Introduction to Docker for Pythonistas Jan Wagner Big Data, Data Science, DevOps, Jupyter, Machine Learning
15:25	How to make your (digital) Communication strong & future ready Simon Daubermann Business & Start-Ups, Community	Put your data on a map Alex Vykaliuk	Stretchy - NoSQL Database behind REST API Artur Scholz Big Data, Data Science, Web	Python Birdies: Codegolfing for better understanding (and fun) Jonathan Oberländer Algorithms
15:40	Coffee Break
16:00	How to teach space invaders to your computer David Wölfle Deep Learning & Artificial Intelligence, Jupyter, Python, Science	Creating an inclusive corporate culture Yenny Cheung Business & Start-Ups, Community	Observe all your applications Christoph Heer DevOps, Infrastructure, Networks, Programming, Python	Python Verband Assembly
16:35	Driving simulation and data analysis of magnetic nanostructures through Jupyter Notebook Hans Fangohr Data Science, Jupyter, Programming, Python, Science	Designing better drugs with machine learning Daniel Kuhn Artificial Intelligence, Deep Learning & Artificial Intelligence, Data Science, Jupyter, Machine Learning, Science	Solving Data Science Problems using a Jupyter Notebook and SAP HANA's in-database Machine Learning Libraries Dr Frank Gottfried Big Data, Data Science, Jupyter, Machine Learning, Visualisation
17:10	Cloud chat bot for lazy people Björn Meier DevOps, Infrastructure	Where the heck is my memory? Florian Jetter Big Data, DevOps, Infrastructure	Microservices from the trenches: how we delivery fancy sofas across Europe Christian Barra Data Science, Jupyter
17:30	Lightning Talks
18:15	End

#	Badisch Brauhaus
19:00	Social Event

Friday 26.10.2018

#	Media Theatre	Lecture Hall	Kubus	Media Lounge	Open Hub
09:00	Morning Announcements
09:15	Keynote: Emmanuelle Gouillart
10:00	Coffee
10:30	Building your own conversational AI with open source tools Justina Petraitytė Artificial Intelligence, NLP, Machine Learning, Python	Concurrency in Python - concepts, frameworks and best practices Stefan Schwarzer Parallel Programming, Programming, Python	Build text classification models ( CBOW and Skip-gram) with FastText in python Kajal Puri Artificial Intelligence, Deep Learning & Artificial Intelligence, Data Science, NLP, Machine Learning	Write your Own Decorators Mike Müller Algorithms, Programming, Python	How to develop your project from an idea to architecture design in 50 minutes Anastasiia Tymoshchuk, Elena Volovicheva Programming
11:20	Enabling the chip technologies of tomorrow – how Python helps us Tim Hoffmann Data Science	Strongly typed datasets in a weakly typed world Marco Neumann Algorithms, Big Data, Data Science, Parallel Programming	Suggestions from Python and Solr Jonathan Oberländer, Patrick Schemitz Algorithms
11:55	Grammar of Graphics in Python Malte Harder Visualisation	Prototyping to tested code Christopher Prohm Data Science, Machine Learning	Satellite data is for everyone: insights into modern remote sensing research with open data and Python Felix M. Riese, Jens Leitloff Artificial Intelligence, Computer Vision, Deep Learning & Artificial Intelligence, Data Science, Machine Learning, Science
12:30	Lunch Break
14:00	Python Decorators: Gift or Poison? Anastasiia Tymoshchuk Python	Cython to speed up your Python code Stefan Behnel Big Data, Infrastructure, Jupyter, Parallel Programming	From exploration to deployment - combining PyTorch and TensorFlow for Deep Learning Marcel Kurovski Artificial Intelligence, Deep Learning & Artificial Intelligence, Data Science, Machine Learning	3D Graphics in Python with Ratcave and Pyglet Nicholas A. Del Grosso Visualisation
14:50	Sprint Orientation
15:05	Lightning Talks
15:40	Closing Session
16:00	End

Saturday 27.10.2018

#	Fettschmelze
10:00	PyCon.DE Sprint	PyLadies & MicroPython Hackathon
12:30	Lunch Break
13:30	PyCon.DE Sprint	PyLadies & MicroPython Hackathon
18:00	End

Sunday 28.10.2018

#	Fettschmelze
10:00	PyCon.DE Sprint
12:30	Lunch Break
13:30	PyCon.DE Sprint
17:00	End