PyData London - 89th Meetup

## Details

Venue: Riverbank House, 2 Swan Ln, London EC4R 3AD -
IMPORTANT: LOCATION UPDATED!
Please note:

1. 🚨🚨🚨A valid photo ID is required by building security. 🚨🚨🚨
2. This event follows the NumFOCUS Code of Conduct, please familiarise yourself with it before the event.

If your RSVP status says "You're going" you will be able to get in. No need to show your RSVP confirmation when signing in.
If you can no longer make it, please unRSVP as soon as you know.
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Code of Conduct:
This event follows the NumFOCUS Code of Conduct. Please get in touch with the organisers with any questions or concerns regarding the Code of Conduct.
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As always, there'll be free food & drinks, generously provided by our host, Man Group.
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Main Talks

Cosmos: Translating dbt to Apache Airflow - Tatiana Al-Chueyr

This talk will discuss why and how to use dbt Core and Apache Airflow, open source tools that support the development of data pipelines.
On one hand, dbt is an extremely valuable tool for analytics engineers to build data transformation pipelines with SQL. On the other hand, Apache Airflow is a consolidated orchestration platform that supports the development, scheduling, and monitoring of batch-oriented workflows written in Python.
This talk discusses benefits and reasons to use these two tools, and a few approaches to integrate them, including using the open source library Cosmos:
https://github.com/astronomer/astronomer-cosmos

Real-time plane-spotting with Apache Druid and Python - Hugh Evans

Hidden from our eyes, aircraft in our skies are constantly transmitting data. Join us as we use some simple tech and the power of open source to fly through this data set. In this talk, see a Raspberry Pi, Apache Kafka, Apache Druid, and Python coming together for real-time data production, transport, OLAP, and interactive visualisation.

⚡ Lightning Talks
1️⃣ Seamless array computation using ndonnx - Aditya Goel
2️⃣ DSPy - A new way of prompting with LLM - Zhaohan Dong

Logistics
Doors open at 6.30 pm (get there early as you have to sign-in via building security), talks start at 7 pm, drinks from 9 pm in the bar. We will have reduced capacity for this event but there will be plenty of people to discuss data science questions with!
Please unRSVP in good time if you realise you can't make it. We're limited by building security on the number of attendees, so please free up your place for your fellow community members!
Follow @pydatalondon (https://twitter.com/pydatalondon) for updates and early announcements.