PyLadies Tampere November Meetup with Reaktor
Join us for an evening of Python, learning, and community as we explore two practical topics with speakers from Reaktor!
How do recommendation systems know which movies you might enjoy? We’ll explore how machine learning uses people’s preferences to predict what others might like. Saku will walk us through building a simple collaborative filtering model using IMDb’s top 1,000 movies and show how to create lightweight interactive applications with Streamlit.
Tired of spending time setting up Python environments before you can start coding? Lenni will demonstrate how to simplify project setup using mise to manage development tools and uv to manage Python dependencies. From Python services to Node frontends and cloud tools, discover how to get your projects running with just two commands!
Whether you're curious about machine learning, recommendation systems, Python tooling, or practical software development, come learn something new, share ideas, and connect with the PyLadies community.
Everyone interested in Python is welcome, whether you're a beginner or an experienced developer!
Agenda
17:00 - Arrival and networking
17:05 - Introduction to PyLadies Tampere
17:15 - Talk & Demo by Saku Suuriniemi on Collaborative Filtering for Movie Recommendations.
17:45 - Break and networking
18:15 - Talk & Demo by Lenni Ojala on Smooth Project Setup with mise
18:45 - Break and networking
7:00 - Python Quiz
7:10 - Lightning talks
7:20 - Announcements
Note: Photos will be taken for memories and marketing. Attendance implies consent but is always used respectfully. Kindly contact us at tampere@pyladies.com if you do not want to be included in the pictures.
You can reach out via this number +358466216773