Meetup #14: Let's meet Julia! (bonus: *hack session*)

We're back after a break. The next meetup covers Julia - a more exotic exotic programming language, which however can give some advantages for tackling data science problems. We are glad to have Mirko who will introduce us to Julia (sounds like a soap opera theme - but isn't). Plus, Mirko prepares a hack session so DON'T FORGET TO BRING YOUR LAPTOPS.

The DigitalHub hosts us again and we look very much forward to seeing y'all very soon.

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"Let's meet Julia!"
Mirko Bunse

Mirko is a research associate at the Artificial Intelligence Group from TU Dortmund University. His work is focused on supervised learning from massive amounts of telescope data, a topic about which he held several talks at scientific conferences.

Abstract: Data science implementations often require a high amount of flexibility, yet their throughput must eventually allow for deployment at scale. However, there is a certain trade-off between these goals: flexibility is often attributed to dynamic programming languages (like Python, R), while performance is mostly associated with static languages (like C). But wait a minute - haven't you met Julia yet? Let us introduce you to a programming language which employs modern concepts from language and compiler design to break this nasty trade-off.

After the talk, we will have a hack session in which you can try Julia yourself. So bring your laptops! You don't need to pre-install anything. We will share a link to a Jupyter Notebook with you that lives in the cloud and has all necessary dependencies installed.

See you soon,
Tobias²