{"id":23051,"date":"2023-05-05T09:42:29","date_gmt":"2023-05-05T07:42:29","guid":{"rendered":"https:\/\/info.gwdg.de\/news\/?p=23051"},"modified":"2023-06-26T13:54:44","modified_gmt":"2023-06-26T11:54:44","slug":"gwdg-pycon-de-pydata-berlin-2023","status":"publish","type":"post","link":"https:\/\/info.gwdg.de\/news\/gwdg-pycon-de-pydata-berlin-2023\/","title":{"rendered":"GWDG @ PyCon DE & PyData Berlin 2023"},"content":{"rendered":"

Four of our colleagues of AG Computing had a fantastic time at the PyCon DE & PyData Berlin 2023<\/a>. During the three days at the conference, a diverse set of topics related to Python and data science was addressed. Here we want to share our experience and highlights of the conference. We did not have the chance to be present in all those fantastic talks, and we look forward to learning more from the conference recordings. As far as the recordings are available, we will update this article accordingly.<\/p>\n

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Opening Session. Source: Hauke Kirchner<\/figcaption><\/figure>\n

Hauke<\/h2>\n
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The „Kuppelsaal“ of the Berlin Congress Center. Source: Hauke Kirchner<\/figcaption><\/figure>\n

After the opening, the first day ever at a PyCon\/PyData conference started for me with the great tutorial Accelerate Python with Julia<\/a> by Stephan Sahm. Here practical examples demonstrate how one can achieve a significant speed-up for your code without too much overhead of work. One highlight of the second day was the talk Visualizing your computer vision data is not a luxury, it’s a necessity: without it, your models are blind and so do you.<\/a> by Chazareix Arnault. During his talk, he showed fascinating examples of complicated situations in image data sets (such as weird realities). Further, he suggested tools for visualizing image data, such as opencv<\/a>, Jupyter Widgets<\/a>, FiftyOne<\/a>, and Streamlit<\/a>. The conference concluded with excellent talks about Accelerating Python Code<\/a> by Jens Nie and The Beauty of ZARR<\/a> by Sanket Verma. Finally, an inspiring talk was given by Jens Agerberg, who took us to the field of topological data analysis<\/a> with his talk Teaching Neural Networks a Sense of Geometry<\/a>.<\/p>\n

Tino<\/h2>\n

PyCon DE & PyData Berlin 2023 was a great experience for us as Data Scientists from the GWDG. We had the opportunity to attend a variety of workshops and talks from some of the most influential figures in the world of data science. As a result, we were able to learn about the latest trends and technologies in the field, as well as gain valuable insights from experienced professionals. Additionally, we were able to network with other data scientists and build relationships with potential users.<\/p>\n

The event was well-organized, and the atmosphere was buzzing with enthusiasm. We also got hands-on experience with the latest tools and technologies, which was extremely useful. Developers and users of various Python packages presented their experiences with state-of-the-art Big Data and Data Science solutions.<\/p>\n

Most exciting takeaways for me:<\/p>\n