A self driven community of Python enthusiasts spreading good vibes.

Event details

[VIRTUAL]"Europe/Amsterdam")) #StayAtHome

Thursday 15 October 2020 19:00

Are you dealing with isolation due to COVID-19? Are you missing your friends from the Python community? PyAmsterdam is also moving online to help you!


19:00 Intro
19:15 Using asyncio for building cli applications -- Artem Zhukov
19:35 Applied Machine Learning: Leak detection in water pipelines -- Andrea Maldonado
19:55 Lightning talks
21:30 Closing (if no further interest)

Using asyncio for building cli applications

About: Artem Zhukov

Python software engineer @RedHat @OAMG

Python Software engineer with more than 4 years of experience. Interested in web applications, everything which uses python asyncio, DevOps, infrastructure automation, bots etc. Compliment projects with machine learning, growing as a professional, learning new technologies, experimenting and building interesting products. I am pedantic in terms of writing clean and simple code, testing and documenting my work. And I have a big passion to the python asyncio stack. More info at my website [1]


Asyncio is used to be well known for building server side apps, here the majority of runtime spent on network IO bound tasks. In this talk, we'll take a look on very different angle of using the asyncio - building a CLI utilities.

Applied Machine Learning: Leak detection in water pipelines

Hello, my name is Andrea. I am a devoted organizer of Pyladies Munich and PhD student at the Chair of Databases and Data Mining at LMU Munich. In my offline free time, you can find me doing yoga, experimenting in the kitchen or riding my bicycle while singing out loud some Queen.👩‍🎤🎤 My Github [2] and Twitter [3]


This project is part of a university's practical course. Anomaly Detection and Localization in big industrial facilities is one important application field of Artificial Intelligence nowadays. As part of Munich's University program and in cooperation with Stadtwerken München I got to participate in a one week hackathon-like project, where based on auditory data we built and evaluated different Machine Learning models to detect and localize leaks in water systems all over the city. If you are interested in Machine Learning topics and would like to know how a real life field use-case looks like, please feel welcome to join this talk.

Plain text version