What we’re about
PyData Southampton is the Southampton chapter of the international PyData community.
Presenting at PyData Southampton
If you would like to give a talk, either a full talk or a short lightning talk, please fill this Google form with some initial details and we will contact you as soon as possible.
What is PyData?
PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organisation in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualisation. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.
The PyData Code of Conduct governs this meetup. (http://pydata.org/code-of-conduct.html) To discuss any issues or concerns relating to the code of conduct or the behavior of anyone at a PyData meetup, please contact NumFOCUS Executive Director Rachel Kerestes (rachel@numfocus.org) or the group organiser.
Upcoming events
1
PyData Southampton - 19th Meetup
Carnival House, 100 Harbour Parade, Southampton, GBVenue: Carnival House, 100 Harbour Parade, Southampton, SO15 1ST
📢 Want to speak 📢: submit your talk proposalMain Talks
1️⃣ Unlocking the Black Box: Demystifying ML Models with Shapley Values - Philip Le
Model explainability is key to help us build trust and enable decision-making with ML/AI models. We will dig deeper into the theoretical background of the Shapley value to help us address the complexity and bias challenges of black box models. There will be several examples to showcase the practical side of how we could use these techniques in practice.2️⃣ Predicting Extreme Weather Events: Augmenting AI Models to Improve Reliability - Austen Wallis
Machine learning thrives on data, and the common wisdom is simple: the more, the better. A widely used approach to expand training datasets is data augmentation, which can enhance model robustness. Yet, augmentation is not without risk—it can also degrade performance by introducing noise. More critically, there are cases where the required training data simply does not exist, especially when models are applied to previously unseen regimes.Nowhere is this more relevant than in the context of improving weather model predictions for extreme events, such as hurricanes. Climate change is driving our atmosphere into uncharted territory, producing extremes absent from recorded history. How, then, can we trust model predictions under such conditions? One promising avenue is through the generation of synthetic data. Hence, in this talk, we will explore how weather data can be simulated, the ML model architectures we use that are designed to forecast extreme events, and the growing competition to build the most powerful foundational weather model.
⚡Lightning Talks ⚡
⚡1️⃣ Exploration of Bayesian Template Selection for Tracking Arbitrary Objects - Tim Trew
⚡2️⃣ From Issue to PR with Claude Code - Nick ThornePlease note:
- 🚨🚨🚨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! 🚨🚨🚨
- 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.
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There will be pizza & drinks, generously provided by our host, Carnival UK.
***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.
22 attendees
Past events
34
