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PyData Exeter #8: January 29th @ Innovation Hub 2025-01-29 · 18:45 Details Enjoy three talks from our brilliant speakers after drinks and networking. Agenda: 18:45 Doors open 19:15 Talks start 20:30 Talks finish - stick around for a drink and networking at the CUCKOO taproom across the road. Talks: Using Python to Help Optimize AAA Games, Matt Osbond I have worked in a "Technical Art" field in video games for nearly 17 years and I've been lucky enough to have worked on a huge variety of projects. But they all have one thing in common - they all need optmizing at the end. I'll go over some of the ways in which I use Python tools to find issues, and then resolve them. Making the Most of Pre-Trained AI: Practical Approaches to Black-Box Testing, Olga Zyuzina This talk explores the challenges of testing pre-built machine learning models, particularly in high-stakes industries like healthcare. These black-box models often come with limited transparency, yet they are tasked with making critical decisions. Drawing on real-world examples, I’ll discuss the complexities of ensuring their reliability and fairness, and share practical strategies and tools to validate their performance. How the PyData Software Ecosystem is built, Jacob Tomlinson The PyData software ecosystem is made up of many open-source software libraries that are used heavily in Python Software Development, Data Science/Engineering, Traditional Sciences, Artificial Intelligence and beyond. They were used to fly a helicopter on Mars, drive new discoveries around climate change and generate the first image of a black hole. But what makes a software library part of the PyData ecosystem? Who funds the development of these libraries? Can anyone get involved? This talk will dig into the history of the PyData ecosystem, how open-source projects are created and maintained and who builds the PyData software stack today. Sponsors: Butterfly Data, NumFOCUS, Thinking Connected A little more about our speakers: Matt Osbond has worked in a "Technical Art" field in video games for nearly 17 years, working across multiple studios, spanning AAA to VR. Having spent over 8 years living in the US, he has moved back home to Devon. Currently, he works on a central technology and support team with other studios to help them deliver amazing experiences. Olga Zyuzina is an AI QA Engineer at Bupa Dental, specializing in testing and ensuring the reliability, fairness, and scalability of AI-driven applications. She began her career as a software tester, transitioned to a Machine Learning engineer role, and now applies her combined expertise to testing AI systems. Passionate about making AI explainable and more reliable for everyone, she focuses on building trust in AI technologies through robust testing practices. Jacob Tomlinson is a senior Python software engineer at NVIDIA with a focus on deployment tooling for distributed systems. His work involves maintaining open source projects including RAPIDS and Dask. RAPIDS is a suite of GPU accelerated open source Python tools which mimic APIs from the PyData stack including those of Numpy, Pandas and SciKit-Learn. Dask provides advanced parallelism for analytics with out-of-core computation, lazy evaluation and distributed execution of the PyData stack. He also tinkers with the open source Kubernetes Python framework `kr8s` in his spare time. Jacob volunteers with the local tech community group Tech Exeter and lives in Exeter, UK. CODE OF CONDUCT The PyData Code of Conduct governs this meetup ([https://pydata.org/code-of-conduct/](https://pydata.org/code-of-conduct/)). To discuss any issues or concerns relating to the code of conduct or behaviour of anyone at the PyData meetup, please contact the PyData Exeter organisers, or you can submit a report of any potential Code of Conduct violation directly to NumFOCUS (https://numfocus.typeform.com/to/ynjGdT)	PyData Exeter #8: January 29th @ Innovation Hub
PyData Exeter #3 2024-02-07 · 18:30 We're back in 2024 with new speakers! Join us at the Generator Hub to enjoy three talks from our brilliant speakers after pizza, drinks, and a chance to get to know the other guests. We will then move on to the Topsham Brewery for a chance to socialise a bit more. We look forward to welcoming familiar faces and, hopefully, many new ones. PyData Exeter is popular, so if your plans change, please cancel your attendance on Meetup in good time to free up your space for other community members! Agenda: 18:30 Doors open (ring reception) 19:15 Talks start 20:30 Moving on to Topsham Brewery Talks: A Beginner's Introduction to ROC Curves for Optimising Classifiers - Tariq Rashid Dealing with disagreeable data: How a proliferation of atmospheric datasets can hinder policy making and why data science provides an answer - Hamish Steptoe Jacob Tomlinson - Using GPUs to accelerate your Pandas dataframes and other PyData code If you would be interested in presenting at future events please submit a talk proposal: PyData Talk Proposal Form. Also, if you have any announcements for the community, please share them Speakers: Tariq Rashid: Tariq Rashid was originally trained as a physicist, and later gained a masters in machine learning and data mining. He’s worked in technology for 25 years, including almost a decade in central government, leading on the modernisation of technology and security. Tariq is passionate about open source, developing communities, and inspiring the next generation of scientists and engineers. He led the London Python meetup, and until recently ran a children’s CoderDojo Cornwall and the Data Science Cornwall community, as well as the London based Algorithmic Art group which grew to over 4,500 members. He also writes books on machine learning and creative computing, one of which has been translated into 6 languages. He is currently developing Digital Dynamics, a new business helping organisations ensure their use of data and automation through machine learning is safe, fair and ethical. Hamish Steptoe: Hamish Steptoe is an Applied Scientist at the Met Office, using statistics and data science to understand the impacts of weather and climate change around the world. His work focuses on informing decision making for climate resilience by engaging with international partners and stakeholders and supporting capacity development of provider and user organisations in low- and middle-income countries. Jacob Tomlinson: A senior software engineer at NVIDIA, his work involves maintaining open source projects in the PyData ecosystem including RAPIDS and Dask. He also tinkers with kr8s, a Kubernetes library for Python, in his spare time. Sponsors: DigiLab, University of Exeter CODE OF CONDUCT The PyData Code of Conduct governs this meetup (https://pydata.org/code-of-conduct/). To discuss any issues or concerns relating to the code of conduct or behaviour of anyone at the PyData meetup, please contact the PyData Exeter organisers, or you can submit a report of any potential Code of Conduct violation directly to NumFOCUS (https://numfocus.typeform.com/to/ynjGdT).	PyData Exeter #3

Details

Enjoy three talks from our brilliant speakers after drinks and networking. Agenda:

18:45 Doors open
19:15 Talks start
20:30 Talks finish - stick around for a drink and networking at the CUCKOO taproom across the road.

Talks: Using Python to Help Optimize AAA Games, Matt Osbond I have worked in a "Technical Art" field in video games for nearly 17 years and I've been lucky enough to have worked on a huge variety of projects. But they all have one thing in common - they all need optmizing at the end. I'll go over some of the ways in which I use Python tools to find issues, and then resolve them.

Making the Most of Pre-Trained AI: Practical Approaches to Black-Box Testing, Olga Zyuzina This talk explores the challenges of testing pre-built machine learning models, particularly in high-stakes industries like healthcare. These black-box models often come with limited transparency, yet they are tasked with making critical decisions. Drawing on real-world examples, I’ll discuss the complexities of ensuring their reliability and fairness, and share practical strategies and tools to validate their performance.

How the PyData Software Ecosystem is built, Jacob Tomlinson The PyData software ecosystem is made up of many open-source software libraries that are used heavily in Python Software Development, Data Science/Engineering, Traditional Sciences, Artificial Intelligence and beyond. They were used to fly a helicopter on Mars, drive new discoveries around climate change and generate the first image of a black hole. But what makes a software library part of the PyData ecosystem? Who funds the development of these libraries? Can anyone get involved? This talk will dig into the history of the PyData ecosystem, how open-source projects are created and maintained and who builds the PyData software stack today.

Sponsors: Butterfly Data, NumFOCUS, Thinking Connected

A little more about our speakers: Matt Osbond has worked in a "Technical Art" field in video games for nearly 17 years, working across multiple studios, spanning AAA to VR. Having spent over 8 years living in the US, he has moved back home to Devon. Currently, he works on a central technology and support team with other studios to help them deliver amazing experiences.

Olga Zyuzina is an AI QA Engineer at Bupa Dental, specializing in testing and ensuring the reliability, fairness, and scalability of AI-driven applications. She began her career as a software tester, transitioned to a Machine Learning engineer role, and now applies her combined expertise to testing AI systems. Passionate about making AI explainable and more reliable for everyone, she focuses on building trust in AI technologies through robust testing practices.

Jacob Tomlinson is a senior Python software engineer at NVIDIA with a focus on deployment tooling for distributed systems. His work involves maintaining open source projects including RAPIDS and Dask. RAPIDS is a suite of GPU accelerated open source Python tools which mimic APIs from the PyData stack including those of Numpy, Pandas and SciKit-Learn. Dask provides advanced parallelism for analytics with out-of-core computation, lazy evaluation and distributed execution of the PyData stack. He also tinkers with the open source Kubernetes Python framework kr8s in his spare time. Jacob volunteers with the local tech community group Tech Exeter and lives in Exeter, UK.

CODE OF CONDUCT The PyData Code of Conduct governs this meetup ([https://pydata.org/code-of-conduct/](https://pydata.org/code-of-conduct/)). To discuss any issues or concerns relating to the code of conduct or behaviour of anyone at the PyData meetup, please contact the PyData Exeter organisers, or you can submit a report of any potential Code of Conduct violation directly to NumFOCUS (https://numfocus.typeform.com/to/ynjGdT)

We're back in 2024 with new speakers!

Join us at the Generator Hub to enjoy three talks from our brilliant speakers after pizza, drinks, and a chance to get to know the other guests. We will then move on to the Topsham Brewery for a chance to socialise a bit more. We look forward to welcoming familiar faces and, hopefully, many new ones.

PyData Exeter is popular, so if your plans change, please cancel your attendance on Meetup in good time to free up your space for other community members!

Agenda:

18:30 Doors open (ring reception)
19:15 Talks start
20:30 Moving on to Topsham Brewery

Talks:

A Beginner's Introduction to ROC Curves for Optimising Classifiers - Tariq Rashid
Dealing with disagreeable data: How a proliferation of atmospheric datasets can hinder policy making and why data science provides an answer - Hamish Steptoe
Jacob Tomlinson - Using GPUs to accelerate your Pandas dataframes and other PyData code

If you would be interested in presenting at future events please submit a talk proposal: PyData Talk Proposal Form.

Also, if you have any announcements for the community, please share them

Speakers: Tariq Rashid: Tariq Rashid was originally trained as a physicist, and later gained a masters in machine learning and data mining. He’s worked in technology for 25 years, including almost a decade in central government, leading on the modernisation of technology and security. Tariq is passionate about open source, developing communities, and inspiring the next generation of scientists and engineers. He led the London Python meetup, and until recently ran a children’s CoderDojo Cornwall and the Data Science Cornwall community, as well as the London based Algorithmic Art group which grew to over 4,500 members. He also writes books on machine learning and creative computing, one of which has been translated into 6 languages. He is currently developing Digital Dynamics, a new business helping organisations ensure their use of data and automation through machine learning is safe, fair and ethical.

Hamish Steptoe: Hamish Steptoe is an Applied Scientist at the Met Office, using statistics and data science to understand the impacts of weather and climate change around the world. His work focuses on informing decision making for climate resilience by engaging with international partners and stakeholders and supporting capacity development of provider and user organisations in low- and middle-income countries.

Jacob Tomlinson: A senior software engineer at NVIDIA, his work involves maintaining open source projects in the PyData ecosystem including RAPIDS and Dask. He also tinkers with kr8s, a Kubernetes library for Python, in his spare time.

Sponsors: DigiLab, University of Exeter

CODE OF CONDUCT The PyData Code of Conduct governs this meetup (https://pydata.org/code-of-conduct/). To discuss any issues or concerns relating to the code of conduct or behaviour of anyone at the PyData meetup, please contact the PyData Exeter organisers, or you can submit a report of any potential Code of Conduct violation directly to NumFOCUS (https://numfocus.typeform.com/to/ynjGdT).

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