Welcome to the first PyData Meetup in Sofia!
To make a great kick-off meeting we're planning two short but very interesting talks within an hour and then networking, brainstorming, planning next events and drinking beers.
19:00 - 19:10:
Introduction to PyData
by Yasen Kiprov
19:15 - 19:40:
Jupyter Notebooks - The Good, The Bad, and The Ugly
by Georgi Karadjov
Description: While we all love the robustness of Jupyter Notebooks, sometimes their extensive usage can facilitate bad coding practices and incorrect execution flow. First, I will briefly discuss the major advantages and drawbacks of Jupyter Notebooks. I will demonstrate useful features, tricks tools that can improve both our code and the experience from using interactive environments. The second part of the talk will be focused on two of the biggest issues in research code - code quality and reproducibility. I will offer advice and processes that can be adopted, to improve the quality of the code and ultimately, the reliability of the conducted experiments.
19:45 - 20:10:
Fighting the chaos in ML: Possible way to organize your ML project followed by brainstorm session with the audience
by Hristo Avramov
20:10 - 21:30:
Beers and pizza
About the speakers:
Hristo is a Machine learning engineer in Ocado, holds a Masters degree in Artificial Intelligence, has 7+ years of experience as developer, form which 2+ are in ML projects.
Georgi is a data scientist, working on projects focused on natural language processing, fact-checking and dialogue systems. At SiteGround he works on NLP applications used by thousands of users every day. In his spare time, he is an active researcher and author of multiple publications in the fields of stylometry and automated factuality verification.