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About us

PyData MCR is the Manchester chapter of the International PyData Community. 
For Manchester based data people, to share and learn new things. All open data tooling welcome, we are not python focused.
PyData is dedicated to providing a harassment-free meeting experience for everyone, regardless of gender, sexual orientation, gender identity and expression, disability, physical appearance, body size, race, or religion. We do not tolerate harassment of meeting participants in any form.
All communication should be appropriate for a professional audience including people of many different backgrounds. Sexual language and imagery is not appropriate for any conference venue, including talks.
Be kind to others.
Do not insult or put down other attendees. Behave professionally. Remember that harassment and sexist, racist, or exclusionary jokes are not appropriate for PyData.
Find us on Twitter at https://twitter.com/PyDataMCR)

Sponsors

NumFOCUS

NumFOCUS

Promoting open code for better science

AutoTrader

AutoTrader

Thanks to AutoTrader for their support

Kraken

Kraken

Thanks to Kraken for their ongoing support

Horsefly Analytics

Horsefly Analytics

Thanks to Horsefly Analytics for their support

Upcoming events

2

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    PyDataMCR September

    PyDataMCR September

    AutoTrader Circle Square, No. 3 Circle Square, M1 7BL, Manchester, GB

    ## Details

    PyDataMCR September Talks

    THE TALKS

    Empathy Data in LLM's - Part II - Lucy Stafford-Hughes

    Building on her previous talk in Sept 25 on Empathy Data in LLM's, this talk explores the development of stable interaction patterns in large language models using anchoring and identity containers as a method looking at reducing hallucinations and improving response context and accuracy.

    Lucy will look at observations across 2 different AI models on building stable patterns, including interaction with the latest research such as Anthropics work on emotion concepts and emotion vectors in Claude. The talk will also touch on why this matters for human-AI collaboration, and implications across future emergent behaviours.

    Lucy is a consultant, writer, and AI researcher. Her areas of expertise include complex business systems, Agile ways of working, and human-AI interaction.

    The meaning of lift - understanding marketing effectiveness - Josh Hayes (He/Him)

    Data science is about more than just answering questions, it’s about understanding them. Often multiple stakeholders will ask the same, reasonable-sounding question, only for it to become clear that they actually all want something subtly different. The role of a data scientist in this case is to listen to the questions, understand what is actually being asked, and help the stakeholders to develop language to better communicate what they want to measure.

    In this talk, Josh will talk through an example of this in marketing, discussing advertising spend, attribution modelling, and how we can measure and talk about the impact of campaigns.

    Josh Hayes is a Senior Data Scientist at Autotrader, with nearly 10 years of experience across academia and industry. He holds a PhD in astrophysics, and has led teams of data scientists, analysts, and engineers at Natwest and Autotrader. Among various projects, he has led work calculating carbon emissions associated with financial lending, modelled evolution of the UK’s housing stock, and worked to improve real-time monitoring of key business metrics.

    In addition to his professional work, Josh has a long history in public speaking to both technical and general audiences. He has featured at the Bluedot festival, worked as a contributor to BBC radio, and was a long-time presenter of the Jodcast astronomy podcast, alongside speaking at multiple academia and industry conferences.

    LOCATION
    We'll be at Autotrader, who are also kindly supplying catering. The capacity is limited to 50.
    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.

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    56 attendees
  • PyDataMCR October @ Data Decoded MCR

    PyDataMCR October @ Data Decoded MCR

    Manchester Central Convention Complex, Windmill St, Manchester M2 3GX, UK, Manchester, GB

    ## Details

    PyDataMCR October Lightning 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) to access the event.

    THE TALKS

    Lightning Talks are an opportunity for members of the community to share a short talk with the wider community - with or without slides!

    Speakers will be announced soon!

    LOCATION

    We will be on the Data Engineering, Integration and Automation Theatre stage.

    The capacity will be limited to 50 for this event.

    After the talks we'll all head to the after event at Junction. Please sign up on the Data Decoded MCR website.

    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.

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    2 attendees

Group links

Organizers

John C. and 1 other are Super Organizers

Members

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