PyData Southampton - 1st Meetup

Venue: Carnival House, 100 Harbour Parade, Southampton, SO15 1ST

Please note:

1. 🚨🚨🚨A valid photo ID is required by building security. You MUST use your full real names 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 An Introduction to geospatial data & processing - Robin Wilson
In this talk, Robin will introduce geospatial data and how to process it using Python. He'll explain what geospatial data is, and what makes it different from normal data. He'll cover the types of geospatial data, issues relating to co-ordinate systems, and where to get geospatial data, before diving into a couple of case studies of geospatial data processing with Python using libraries including GeoPandas, rasterio, shapely, rasterstats, folium and more.

2️⃣ MoleGazer: Where astronomy meets dermatology - Chris Frohmaier
Astronomers routinely scan the night sky with the ambition of discovering exploding stars in distant galaxies. Many of the techniques can be summarised simply by 'blob detection and evolution'. Dermatologists are also interested in blobs, but on a very different scale and with potentially serious health outcomes. Incidence of melanoma (skin cancer) is rapidly increasing in the UK and worldwide, with early detection and treatment crucial in improving patient outcomes. Molegazer is a project led by astronomers at the University of Southampton and dermatologists at Oxford University Hospital Trust. We apply principles from astronomical surveys to work towards our goal of routinely mapping the evolution of naevi on high-risk patients. This presentation will showcase the Molegazer project, and will discuss some of the techniques we use in the python ecosystem, drawing on OpenCV, scikit-learn, keras, and more.

Lightning Talks ⚡
⚡1️⃣ TBA
⚡2️⃣ TBA

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.