What we're about

PyData is a group for users and developers of data analysis tools to share ideas and learn from each other. We gather to discuss how best to apply Python tools, as well as those using R and Julia, to meet the evolving challenges in data management, processing, analytics, and visualization. PyData groups, events, and conferences aim to provide a venue for users across all the various domains of data analysis to share their experiences and their techniques. PyData is organized by NumFOCUS.org, a 501(c)3 non-profit in the United States.

Code of Conduct

PyData is dedicated to providing a harassment-free meeting experience for everyone, regardless of gender, sexual orientation, gender identity and expression, disability, physical appearance, body size, race, or religion. We do not tolerate harassment of meeting participants in any form.
All communication should be appropriate for a professional audience including people of many different backgrounds. Sexual language and imagery is not appropriate for any conference venue, including talks.
Be kind to others. Do not insult or put down other attendees. Behave professionally. Remember that harassment and sexist, racist, or exclusionary jokes are not appropriate for PyData.
To discuss any issues or concerns relating to the code of conduct or behavior of anyone at the PyData meetup, please contact the local group organizers (message us on the meetup page). Please also submit a report of any potential Code of Conduct violation directly to NumFOCUS (https://numfocus.typeform.com/to/ynjGdT).

Upcoming events (2)

PyData Nights Vol.3 ML Models in Production

Macromedia University of Applied Sciences

Hallo Münchners,

We are back to future once again!

We would like to invite you to our meetup with two exciting talks at a very cool location, for which we want to thank Macromedia University for hosting us this evening & sponsoring the refreshments.

This event is brought to you in collaboration with the Munich🥨NLP community. Join their Discord to discuss the latest developments and also stimulate exchange on research and innovation around NLP.

Hurry up we have limited spots and see you on the other side.

Best,
Muhtasham and Nithish

=== Agenda ===
18:00 - Doors open
18:30 - Welcome and Introduction
18:40 - Talk 1: Lessons learned from setting up a MLOps pipeline by
by Eric Joachim Liese (BSH) and Prof. Dr. René Brunner (Macromedia Hochschule, Datamics GmbH)
19:30 - [Break] Networking and refreshment
19:40 - Talk 2: ML Model Monitoring by Alon Gubkin (Aporia), Saumya Goyal (Datamics GmbH)
20:30 - Networking time

=== Talks ===

Speaker: Eric Joachim Liese (BSH), Prof. Dr. René Brunner (Macromedia Hochschule, Datamics GmbH)
Title: Lessons learned from setting up a MLOps pipeline

Abstract: Many companies are already using machine learning and artificial intelligence algorithms. However, the decisive factors are not only to train the best fitting model but the time to value of the models is crucial. To improve the time to value consistently, an end-to-end MLOps process that is required to train, test, deploy, run, and monitor ML models is essential for a company's success. This pipeline also should consider governance and security aspects. Building such a MLOps pipeline is a complex journey as the process consists of integration and choosing many different tools of a machine learning live cycle. It also requires the expertise of a combination of different stakeholder such as DevOps, Data Engineering and Data Science. This talk gives an insight of lessons learned by industry projects to efficiently setting up a complete ML and AI end-to-end pipeline to provide and maintain fast and accurate predictions.

Note: The event will be recorded & streamed

Question Answering with LangChain and Qdrant without boilerplate

Link visible for attendees

Hands-on introduction to designing a Question Answering system that combines Large Language Models and vector search. We'll go through a complete development of such a tool using Langchain and Qdrant as a knowledge base.