PyDataMCR October @ Data Decoded MCR

## Details

PyDataMCR October Talks

This event will operate differently to a normal PyData MCR Meetup. You need to have a free ticket to Data Decoded (signing up here: https://datadecoded.com/meetups/) to access the event

THE TALKS

Ship stats - Doing demographic statistics on representation in romantic fanfiction - Ren Zoller (he/him)

This project explores the demographics of the characters who make the yearly rankings of the top 100 most popular pairings on wellknown fanfiction site AO3.

Its aim is to raise awareness about the work of the highly female-dominated author base of fandom, explore how fans choose to interact with mainstream media, and to provide visualisation and statistical insight for and about a topic and community that does not have as many members who code as more male-dominated ones do and therefore is less well-documented.

Ren is a queer online creator with a background and scholarly interest in fandom, online communities, and gender liberation for all. In his day job he is a data engineer and degree apprentice in data analysis.

Orchestrating the complex stuff with Prefect - Kerry Parker (She/Her)

Kerry is a Data Engineer at Climate Policy Radar has over 7 years experience in both Data Science and Data Engineering roles across multiple industries. She is passionate about learning, sharing knowledge and giving back to the community.

Kerry will be speaking about Orchestrating the Complex Stuff with Prefect where she will introduce the concept of orchestration, why it matters for modern data workflows and how Prefect makes it flexible and easy to get started. Drawing on her experience of designing and building orchestration pipelines across a range of projects, Kerry will share practical insights, real-world examples, and tips to help you decide when and how to bring orchestration into your own projects.

LOCATION

The capacity will be limited to 50 for this event.

After the talks we'll all head somewhere local for some post-event socialising.

EVENT GUIDELINES
PyDataMCR is a strictly professional event, as such professional behaviour is expected.
PyDataMCR is a chapter of PyData, an educational program of NumFOCUS and thus abides by the NumFOCUS Code of Conduct: see https://pydata.org/code-of-conduct.html
Please take a moment to familiarise yourself with its contents.

ACCESSIBILITY
Toilets and venue are accessible.

SPONSORS
Thank you to NUMFocus for sponsoring Meetup and further support.
Thank you to Autotrader, Krakenflex and Horsefly Analytics for their ongoing support and sponsorship of PyDataMCR.