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PyDataMCR Code Night - July

Have a data project or some coursework? Want to get to talk it through with your data peers?

Come to our Code Night at Social Refuge! A night to work on your own project, with supportive peers available for advice. Ask for tips from others more experienced than yourself, or teach somebody else something great!

WHAT YOU WILL NEED

- A laptop - A project (optional!\, feel free to join us for a chat or to provide others with advice).

HOW IT WILL WORK

1830-2030

Come down and join us to Social Refuge to work on some code together. You'll have an opportunity to share any problems you're working on with other attendees.

After the event we'll head around the corner to Seven Brothers for some post-event socialising.

Location We'll be at Social Refuge: Ancoats, join us downstairs! The capacity is limited to 40 people, so sign up early for a spot!

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

https://pydata.org/code-of-conduct.html

Please take a moment to familiarise yourself with its contents.

ACCESSIBILITY

Under 16s welcome with a responsible guardian. There is a quiet room available if needed. 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.

PyDataMCR July!

THE TALKS

Mastering LLM Workflows: Benchmarking, Tools, and Best Practices - Patrick Callery (he/him)

Having worked helping businesses adopt LLM workflows such as RAG pipelines and function calling, a common challenge is benchmarking and measuring how well the application is performing. This talk aims to explore some of the existing open-source tooling to help with this and look at some best practices when building out such applications.

Patrick is a Machine Learning Engineer at Brainpool.ai with experience in productionising machine learning systems and AI applications focussing on MLOps and integrating software engineering best practices into the domain of ML.

BI on a budget - Shaun Hide (he/him)

Modern BI tools such as Tableau and PowerBI come with extensive functionality but also a substantial cost per head for organisations. This talk aims to explore the intricacies of adapting streamlit to offer a flexible, functional and budget alternative to modern BI tools.

Shaun is Head of Data Science at DailyFeed with experience in solving end to end data problems, often on a budget! His previous experience has spanned leveraging Databricks to deliver a data science feature store and churn models at TalkTalk to interrogating transactional data at card linked offer company, Reward.

LOCATION

We'll be at Northcoders at Manchester Technology Centre, who are kindly supplying catering. The capacity is limited to 80.

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

https://pydata.org/code-of-conduct.html

Please take a moment to familiarise yourself with its contents.

ACCESSIBILITY

Under 16s welcome with a responsible guardian. The venue and toilets are accessible with a lift from reception. A quiet room is available if required.

SPONSORS

Thank you to NUMFocus for sponsoring Meetup and further support

Thank you to AutoTrader for sponsoring PyDataMCR.

Thank you to NorthCoders for an awesome venue and catering!

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

Introduction to Open-Source Science (OSSci) - Tim Bonnemann (he/him)

Open-Source Science (OSSci) is a new NumFOCUS initiative – launched in July 2022 in partnership with IBM – that aims to accelerate scientific research by improving the ways open source software in science gets done (built, used, funded, sustained, recognized, etc.). OSSci connects scientists, OSS developers and other stakeholders to share best practices, identify common pain points, and explore solutions together.

The five OSSci interest groups to date cover domain-specific topics (chemistry/materials, life sciences/healthcare, climate/sustainability) as well as cross-domain topics (reproducibility, map of science), with more to be rolled out in 2024. This lightning talk will provide a brief overview of OSSci’s activities to date, our plans for 2024, and how you can get involved.

Tim Bonnemann, Community Lead, Open-Source Science (OSSCi) at IBM Research

AutoXAI4Omics: Automated eXplainable AI for Omics - Anna Paola Carrieri (she/her)

AutoXAI4Omics (https://github.com/IBM/AutoXAI4Omics) is a command line automated explainable AI tool that easily enable healthcare and life sciences scientists (e.g., biologists, bioinformaticians, clinicians) to perform prediction tasks from omics data (e.g., gene expression; microbiome data; SNPs) and any tabular data (e.g., clinical data) using a range of machine learning methods. As an example a scientist may quickly an end-to-end ML analysis to predict disease type or status from genomics data without having to code or understand the deep technical details of the ML pipeline. A broad technical team from IBM Research has developed, tested and validated the tool for -Omics use cases over a number of years

Anna Paola Carrieri, Manager, Healthcare and Life Science team in IBM Research UK

The floor will then be opened up to other community lightning talks!

We'll be at BabNQ, the capacity is limited to 60.

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

https://pydata.org/code-of-conduct.html

Please take a moment to familiarise yourself with its contents.

ACCESSIBILITY

Under 16s welcome with a responsible guardian. There is a quiet room available if needed. The event space is downstairs.

SPONSORS

Thank you to NUMFocus for sponsoring Meetup and further support

PyDataMCR July Talks

Continuing this years talks, we have great talks about Data Apprenticships in industry. We are hosted this month by Peak.

THE TALKS

Sarah Chapman - Data Analyst at North West Ambulance Service Pronouns: She/Her

Sarah Chapman is a Data Analyst at North West Ambulance Service analysing data to produce reports to support data-driven decision making. Sarah previously worked as an Analyst at WSP and Data Manager for British Oceanographic Data Centre and British Antarctic Survey.

Sarah is currently undertaking a L7 Apprenticeship in Digital Solutions and Technology Specialist with QA and Northumbria University and will share her experiences of the apprenticeship scheme and the impact it has had.

Sarah's LinkedIn

Zoe Bennett - Insights Analyst at Pets at Home Pronouns: She/Her

Relevant Degree Not Essential

In the world of data where degrees are a requirement for STEM careers, we’ll explore the rising popularity of apprenticeships, and why these suit an otherwise unserved portion of learners. We’ll discuss the projects undertaken as part of the Apprenticeship, and the impact completing the course had.

Zoe is an Insights Analyst with a decade of experience across a number of industries such as Fashion, Insurance and Telecommunications. She is an ardent problem-solver, with a passion for furthering companies’ goals through the use of data. Zoe was the first person to complete the BCS Level 4 Data Science Apprenticeship in 2020 under the N Brown cohort, and received a Distinction.

Zoe's LinkedIn

LOCATION We'll be at Peak's new location again! The capacity is limited to 80.

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

https://pydata.org/code-of-conduct.html

Please take a moment to familiarise yourself with its contents.

ACCESSIBILITY Under 16s welcome with a responsible guardian. Venue and toilets are both accessible.

SPONSORS Thank you to NUMFocus for sponsoring Meetup and further support