Plenary

4 talks from the 2023 edition.

Keynote - A journey through 4 industries with Python: Python's versatile problem-solving toolkit Keynote

Susan Shu Chang

In this keynote, I will share the lessons learned from using Python in 4 industries. Apart from machine learning applications that I build in my day to day as a data scientist and machine learning engineer, I also...
Keynote - How Are We Managing? Data Teams Management IRL Keynote

Noa Tamir

The title “Data Scientist” has been in use for 15 years now. We have been attending PyData conferences for over 10 years as well. The hype around data science and AI seems higher than ever before. But How are we managing?
Keynote - Lorem ipsum dolor sit amet Keynote

Miroslav Šedivý

A life without joy is like software without meaningful test data - it's uncertain and unreliable. The search for the perfect test data is a challenge. Real data should not be too real. Random data should not be too...
Keynote - Towards Learned Database Systems Keynote

Carsten Binnig

Database Management Systems (DBMSs) are the backbone for managing large volumes of data efficiently and thus play a central role in business and science today. For providing high performance, many of the most complex...