PyData Lancaster July 2022 Meetup 🔥

Welcome to PyData Lancaster, a community of data enthusiasts who like to meet together once a month and talk all things data related!

Along with pizza, cake and drinks, we will be bringing in local data scientists, developers, researchers, and data professionals from all different fields, backgrounds and experiences.

Our meeting place is Fraser House Hub, in the centre of Lancaster at White Cross Business Park.

You can expect to see a new event on the last Wednesday of every month! (With the exception of December)

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Schedule

18:00 - Meet and greet. Grab some pizza, cake, something to drink and meet some people!
18:30 - First speaker
19:00 - Break
19:15 - Second speaker
19:45 - Wrap up, hang out and then to the pub!

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Speaker Lineup

> > > Dale King (he/him) - Customer Success Manager at Relative Insight

Title: "How tech makes my life easier: memoirs of a data analyst"

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> > > Alin Morariu (he/him) - Statistics PhD Candidate at Lancaster University

Title: Blue pill, or red pill? Why not both!
In this talk, I want to go over what The Matrix got right, namely living in The Simulation does have many advantages (especially for data scientists). I will introduce the concept of data simulation and why it should play an integral role in the data science workflow. The early stages of a project revolve around understanding the underlying business or real world problem paired with exploratory data analysis (EDA) so we get a thorough understanding for what the problem is and what we have available to solve it. Typically, the following stages involve model building, testing, and validation before finally ending up at the deployment stage. This is where we want to use the information from our EDA to create a synthetic data set which closely mimics the real data. Why would we want to do this? How does this help with our model building? Do I always have to make “fake”data? Great questions! All answers will be revealed at PyData Lancaster!

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Location:

Fraser House Hub
South Road
Lancaster
LA1 4XQ

We will be meeting at Fraser House Hub (Relative Insight HQ) on the ground floor.

Pizza, coffee, tea, beer, wine, soft drinks and cakes will be provided free of charge (thanks sponsors!)

Feel free to come early to hang out, have a drink, or help set up. The Organisers will be arriving at 18:00

If you have any questions, send us a message on your preferred social media platform.

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We welcome everyone with an interest in all things data, from beginners to seasoned pros, whether you work in linguistics, journalism, eCommerce, physics, or anything in between. We're big fans of open source. Python and R are data science staples, but other languages and perspectives are more than welcome!

PyData Lancaster is a chapter of PyData, an educational program of NumFOCUS and thus abides by the NumFOCUS Code of Conduct https://pydata.org/code-of-conduct.html. Please take a moment to familiarise yourself with its contents.

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Sponsors:

Relative Insight - https://relativeinsight.com/
Fraser House - https://fraserhousehub.co.uk/
NumFocus - https://numfocus.org/

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Organisers

Ryan Callihan - Head of NLP at Relative Insight (he/him)
Joshua Bailey - Data Scientist at Relative Insight (he/him)
Emily Ward - Customer Success Executive at Relative Insight (she/her)