PyData Southampton - 6th 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.

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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.
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There will be pizza & drinks, generously provided by our host, Carnival UK.
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Main Talks
1️⃣ Desert Island Docker: Python Edition - Andrew Collier
What 3 Docker images would you choose if you were shipwrecked on a desert island? Choosing the right images will determine whether you are rescued or end up in a cannibals' cooking pot (Python images will make you particularly unpalatable).

Docker is an essential tool for survival as a Python developer, regardless of whether you are stranded or not. In this talk I'll describe three Python Docker images that I consider essential for survival on a desert island. I'll demonstrate how to set up and build a custom image. And finally I'll demonstrate how using a Docker image can simplify CI/CD and deployment.

2️⃣ Streaming DataFrames: A New Way to Process Streaming Data in Python - Tomáš Neubauer

Introducing an open source library in Python: Quix Streams. It solves all the complexities of stream processing in a cloud native package with a familiar Pandas DataFrame API interface. This library lets you work with streaming data similarly to static data in your Jupyter Notebook without any hassle associated with streaming technologies. Our mission is to bring masses of Python developers into streaming and make the journey as smooth as possible so real-time applications using ML are not so difficult. I will demonstrate this live on stage with examples of stateless operations and stateful operations like rolling windows and joins. Join me to learn how you can start working with streaming data today.

Lightning Talks ⚡
⚡1️⃣ The risks posed by the latest developments in Generative AI to young school pupils - Kashif Hussain
⚡2️⃣ TBD

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.