PyData Southampton - 5th Meetup

Venue: Carnival House, 100 Harbour Parade, Southampton, SO15 1ST
📢 Want to speak 📢: submit your talk proposal

Please note:

1. 🚨🚨🚨A valid photo ID is required by building security. You MUST use your initial/first name and surname on your meetup profile, otherwise, you will NOT make it on the guest list! 🚨🚨🚨
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 further confirmation required. You will NOT need to show your RSVP confirmation when signing in.
If you can no longer make it, please unRSVP as soon as you know so we can assign your place to someone on the waiting list.

***
Code of Conduct:
This event follows the NumFOCUS Code of Conduct, please familiarise yourself with it before the event. Please get in touch with the organisers with any questions or concerns regarding the Code of Conduct.
***
There will be pizza & drinks, generously provided by our host, Carnival UK.
***

Main Talks
1️⃣ The Python Powered Modern Data Stack - John Sandall
The Modern Data Stack has brought a lot of new buzzwords into the data engineering lexicon: "data mesh", "data observability", "reverse ETL", "data lineage", "analytics engineering". The PyData Stack introduced pandas pipelines powering ETL workflows...clean code, tested code, data validation, perfect for in-memory workflows. As demand for self-serve analytics grows, new data sources bring more APIs to model, more code to maintain, DAG workflow orchestration tools, new nuances to capture ("the tax team defines revenue differently"), more dashboards, more not-quite-bugs ("but my number says this...").

Learn why the world shifted from ETL to ELT, what open-source Modern Data Stack tools you should know, with a focus on how dbt's Python integration is changing how data pipelines are built, run, tested & maintained. Beyond the latest trends & buzzwords, there is value to be gained by understanding Python's role in the future of data engineering.

2️⃣ Transformers Inside Out (Part 1.5) - Sam Joseph
Large Language Models like GPT4 have catapulted transformers into the limelight, but how do they really work? How can you really code them? This talk presents an alternative representation of GPT internals and a new set of flow diagrams that more closely match the code in order to better understand transformers inside out!

Lightning Talks ⚡
⚡1️⃣ Estimating cognitive workload using electroencephalography - Christoph Tremmel
⚡2️⃣ Benchmarking Time-Series Databases - Nick Thorne

Logistics
Doors open at 6.30 pm, talks start at 7 pm. For those who wish to continue networking and chatting we will move to a nearby pub/bar for drinks from 9 pm.

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 @pydatasoton (https://twitter.com/pydatasoton) for updates and early announcements. We are also on Instagram/Threads as @pydatasoton, and find us on LinkedIn.