May Members Talk evening

Join us for PyLadies Berlin's upcoming talk evening event. Don't miss out on this chance to be part of our community of women developers empowering each other in the world of technology startups.

In this members' talk evening held in-person and online, we will have an introduction from our sponsor ThoughtWorks and 2 very insightful talks for you 🥳

💡 V (she/her) - The Nesting Doll Effect: Scope in Python

In this talk, V willl give an overview of what scope is, why it’s important (and actually quite cool) and go over the order in which Python looks up variable names. I’ll show you a couple of examples, including a code snippet which we’ll play around with together (interactively and anonymously). All while using the multi-layered image of a Nesting doll (or Russian or Matryoshka doll) who has been a helpful partner on my way to understanding this topic.

Level: Beginner friendly

👩‍💻 Victoria is a textbook career changer: trained historian turned self employed English teacher turned Python developer, she now works as a data engineer at SAP Signavio. She is an advocate for community action and is constantly looking for ways to make tech accessible. She is also involved in the Berlin poetry scene, and likes to read and write fairy tales.

✨ Adrin (he/him) - Revenue based scoring in `GridSearchCV`: a case for the new metadata routing in scikit-learn

Passing metadata such as `sample_weight` and `groups` through a scikit-learn `cross_validate`, `GridSearchCV`, or a `Pipeline` to the right estimators, scorers, and CV splitters has been either cumbersome, hacky, or impossible.

The new metadata routing mechanism in scikit-learn enables you to pass metadata through these objects. As a use-case, we study how you can implement a revenue sensitive scoring while doing a hyperparameter search within a `GridSearchCV` object.

Level: Intemediate Python developer

👩‍💻 Adrin is a scikit-learn maintainer and works on a few other open source projects. He has a PhD in Bioinformatics, has worked as a consultant, and in an algorithmic privacy and fairness team. He is now a cofounder at probabl.ai, where they work on enabling people to do statistically sane machine learning.

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📆 Agenda
19h00 Community Announcements & sponsor introduction
19h20 "The Nesting Doll Effect: Scope in Python" with V
20h00 "Revenue based scoring in `GridSearchCV`: a case for the new metadata routing in scikit-learn" with Adrin
21h30 See You Next Time! :D

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❓ Can men attend ❓
Everyone is welcome. :)
If you identify as someone well-represented in open source and in tech, please be mindful of the space and privileges you have, and use it to support others.

🎥 This hybrid event will be streamed on Zoom
Passcode: 888107

🍕 There will be food and drinks (with vegetarian and vegan options thanks to our sponsor)

🤝 By attending our online event, you agree to the PyLadies Code of Conduct: https://www.pyladies.com/CodeOfConduct/

📧 Contact
Interested in speaking at one of our events? Have a good idea for a Meetup? Get in touch with us at berlin@pyladies.com

💬 Find us on the PyLadies Global workspace:

1. https://slackin.pyladies.com enter your email address.
   Accept the email invitation
2. Go to workspace https://pyladies.slack.com
3. Join channel #city-berlin, #germany, #jobs-europe