PyData Südwest April (Heidelberg)

This is a past event

70 people went

Langer Anger 9

Langer Anger 9 · Heidelberg

How to find us

The entrance is to the right of the Alnatura Supermarket. We will put up signs.

Location image of event venue

Details

We are happy to announce the next exciting meetup for the PyData Community Heidelberg, you are welcome to join our talks about:

Building Optimal Football Squads: A Fun Introduction to Multi-Objective Optimization. - Jan-Benedikt Jagusch (Data Scientist at Instaffo GmbH in Heidelberg)

Python in Astronomy. - Christoph Deil (Astronomer at Max-Planck-Institute for Nuclear Physics in Heidelberg)

PyData is all about exchange of knowledge and ideas so apart from two talks there will be plenty of room to talk, interact and discuss with attendees, speaker and hosts.

Lightning talks welcome! Please reach out if you want to give one: [masked]
We would enjoy discussing topics with you which you are really into.

Space is limited, please do register for a complimentary ticket via Meetup.

Thanks a lot, to the speakers and Getsafe Digital GmbH for hosting this PyData Südwest in Heidelberg.

This event will be in English. If you have any questions or suggestions, please feel free to ping us via meetup or [masked] or join our Telegram group:
https://t.me/PyDataSW

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We look forward seeing you!

Agenda:

18:30 - Doors open.

18:45 – Welcome / Opening with Marius Blaesing (Co-Founder & CTO at Getsafe) / NumFocus Introduction by Alexander Hendorf (Partner at Königsweg)

19:00 - Jan-Benedikt Jagusch: “Building Optimal Football Squads: A Fun Introduction to Multi-Objective Optimization”.

In our data driven society, everything revolves around optimizing processes: manufacturers invest in minimizing production cost and machine learning engineers aim to maximize model accuracy. But what if you need to optimize on more than one performance indicator? For example, how would you find football teams in the popular game FIFA 19, so that the combination of overall skill, price and team chemistry is optimal? To answer this question, Jan will introduce us to NSGA2, a popular multi-objective search strategy.

19:45 - A Tale of Two Castles.

19:50 - Break with pizza and cold drinks.

20:15 - Christoph Deil: “Python in Astronomy”.

In parallel with the emergence of NumFOCUS, Python and the scientific Python stack has become the backbone for data processing and analysis in astronomy. Christoph will give an overview of how Python slithered into astronomy, what we have today with Astropy as a common core package and how astronomers use and in some cases contribute to the ecosystem. He will also include information on a few telescopes, briefly describing what their data and analysis looks like and which key scientific questions they try to answer.

21:00 - Lightning Talks and networking.

21:30 – End.

Please contact us [masked] if you have any further questions.