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Raana Saheb Nassagh – Intermediate Python developer

The first time I was asked to review a colleague's code, I was unsure: What was expected of me? What exactly was I supposed to check? And, most importantly, wouldn't I make myself unpopular by pointing out others' mistakes? In my presentation, I will describe what I have learned since then. Using real examples, I’ll point out what you should look for when reviewing code (e.g. readability, redundancy, files & data), which tools you can use (e.g. gitlab runner, black, mypy) and how to stay friends while being brutally honest with each other :-) By the way: The examples of code bugs are not only from my colleagues. After all, my own code is constantly reviewed and fixed by others. And yes, I admit, it hurts every single time…

Python gitlab runner black mypy
Tamara Atanasoska – Open Source Software Engineer @ :probably..

How would you model the mental hops that lead from one word to the next? And how about when instead of a word, the starting point are concepts grounded explicitly or implicitly in an image? These questions, and more, were the topic of my latest research project. Working to automatically generate image-term pairs for an image-grounded, collaborative Wordle game, I looked for combinations that spark the desired type of dialogue - illuminating the participants' decision-making. The project fits the broader efforts toward natural language explainability that Prof. Schlangen’s research group at the University of Potsdam is undertaking. We will look at the method I developed from an engineering perspective, going over all the NLP concepts composing it, and touch upon a bit of linguistics theory too. Level: Beginner to the domain (already familiar with Python)

Python NLP
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