PyData Prague #25 - Moon Time Anomaly

Hello Python tamers and star gazers!

The 25th Prague PyData meetup will take place at similarweb. As usual, the talks will start at 18:30 but we encourage you to come as soon as 18:00 to enjoy the opportunity to socialise and refresh yourselves (which you can continue doing during the break and after the talks).

Our main goal is to build the community around Python and data and make it welcoming to people of various skills and experience levels.

⚡ If you are interested in giving a lightning talk (up to 5 minutes to present an idea, tool or results related at least to some degree to Python and/or data), please contact us before or during the event.

📢 Demystifying Anomaly Detection: A Practical Guide for Time Series Data
Lucie Blechová
In this talk, we’ll dive into the essentials of unsupervised anomaly detection for multivariate time series data. As organizations rely increasingly on proactive monitoring, anomaly detection has become vital across domains—from fraud detection to predictive maintenance. This session will cover key challenges in anomaly detection, including data drift, dimensionality, and lack of labeled data. We'll explore foundational techniques and algorithms, from traditional statistical methods to state-of-the-art machine learning models, offering guidance on selecting tools, setting evaluation metrics, and applying these concepts in real-world scenarios.

📢 To the Moon and back: Lessons learned from archiving my dream open source project
Juan Luis Cano Rodríguez
I developed poliastro, a Python library for interactive Astrodynamics, for almost a decade. Seemingly everything was going well, the project had traction, GitHub stars were going up, I got a regular stream of grant money... but at some point I decided to step down as a maintainer. What happened?

The venue will open at 6.00pm but the intro won't take place sooner than at 6:30pm. There will be food and drinks available, 🤗 sponsors.

Please, RSVP here.
See you soon,
PyData Prague team