It's been a difficult task to create a program, considering we received 39 proposals and time only allows for a maximum of 9 slots. Many promising proposals had to be left out to our regret, but we are certain that we managed to put together an amazing and very diverse program!
|08:00 – 09:00||Registration + Coffee (open until 09:15)|
|09:00 – 09:15||Welcome|
|09:15 – 10:00||
Rocket Science and Software Engineering
Carina works at the German Aerospace Center (DLR) where she is a
software engineering team lead. It is her mission to improve the
software quality at the DLR. But why is this necessary? After all we
went to the moon with less computer power than of a modern smartphone!
While there are a lot of success stories, there are also those stories
where software failures resulted in mission failures.
|10:00 - 10:40||
From Exploring Data Interactively to Creating Reproducible Pipelines
Have you previously built a report based on some data? Worried it wouldn't work anymore when you had to re-run it six months later? Annoyed that you have to email someone to get the latest version of a plot for your slide deck?
|10:40 - 11:10||Coffee break|
|11:10 – 11:40||
Raphael Das Gupta
Comprehensions – Origin, History, Use
Along the lines of Guido's excellent "The History of Python" blog post we'll look into where the idea for Python's (list) comprehensions came from and how it evolved into these related concepts in Python:
|11:40 – 12:10||
Leveraging Neural Networks and Python to Forecast Train Delays in the Swiss Railway Network
In this talk I will show how we developed a neural network model in Python to forecast train delays in real-time. Based on the history of delays in the surrounding network we can predict the future expected delay at different points in the network.
|12:10 – 12:40||
Real Time Django
Since the introduction of Channels, real time web has become much easier to work with in Django. It’s now possible to build real time applications with much less effort in managing the idiosyncrasies of the async programming and a lot of batteries are included. Starting with a brief introduction to Channels, we will see how to build a real time application, both on the Django and the frontend side and how easy it’s to start experimenting with it.
|12:40 – 14:00||Lunch|
|14:00 – 14:30||
SpyPi – An Attempt to Get Students Into Data Security
Technology has become a fundamental part of our daily life and a major component of the education system. Students are encouraged to interact with technology and make use of it. However, in the majority of cases the importance of data security is not discussed, although, it is important, that especially young people get a feeling for the power of modern technology and the dangers that come with it.
|14:30 – 15:00||
Let's Talk About GIL!
There is lot of misconception in majority of Python Programmers regarding Global Interpreter Lock. Most of them think its the worst part of Python. I will try to demonstrate how it actually works and how we can leverage multiple CPU cores for multithreading for I/O and CPU Bound tasks. I will also show some comparisons with different implementations of Python and the presence or absence of GIL in those, to answer questions like, why we can't just remove it from CPython and solve all our problems or why Jython performs better in Multithreading for CPU Bound tasks.
|15:00 – 15:45||Coffee break|
|15:45 – 16:15||
Serverless Computing: FaaSter, Better, Cheaper and More Pythonic
Function-as-a-Service (FaaS) is the consequent code-level implementation of the microservices concept in which each function or method is separately instantiated, measured, accounted and billed. As a programming and deployment model, it has become popular for discrete event processing. Several public commercial services offer FaaS hosting, but almost always in silos with arbitrary limits, incompatible tooling for each provider, and no convenient sharing of functions.
|16:15 – 16:45||
12 Factor Apps for Data-Science with Python
Heroku distilled their principles to build modern cloud applications to maximize developer productivity and application maintainability in the in the https://12factor.net manifesto. These principles have influenced many of our design decisions at Blue Yonder.
|16:45 – 17:00||Closing|
|17:00 – 20:00||Social Event / Apéro|
Right after the conference we'll have a small aperitif sponsored by 89grad. There will be soft drinks, water, beer and snacks free of charge for all conference attendees.