2024-06-11 –, Maschinenhaus
Introducing an open source library in Python: Quix Streams. It solves all the complexities of stream processing in a cloud native package with a familiar Pandas DataFrame API interface. This library lets you work with streaming data similarly to static data in your Jupyter Notebook!
Introducing an open source library in Python: Quix Streams. It solves all the complexities of stream processing in a cloud native package with a familiar Pandas DataFrame API interface. This library lets you work with streaming data similarly to static data in your Jupyter Notebook without any hassle associated with streaming technologies. Our mission is to bring masses of Python developers into streaming and make the journey as smooth as possible so real-time applications using ML are not so difficult. I will demonstrate this live on stage with examples of stateless operations and stateful operations like rolling windows and joins. Join me to learn how you can start working with streaming data today.
Tomáš Neubauer is a co-founder and CTO at Quix, where he works as the technical authority for the engineering team and is responsible for the direction of the company across the full technical stack. He was previously technical lead at McLaren, where he led the architectural uplift of the real-time telemetry acquisition platform for the Formula 1 racing team.
In his spare time, Tomáš likes to go mountain biking in the hills around Prague.